diff --git a/previews/PR111/404.html b/previews/PR111/404.html new file mode 100644 index 00000000..1f9b4f50 --- /dev/null +++ b/previews/PR111/404.html @@ -0,0 +1,23 @@ + + + + + + 404 | Tyler + + + + + + + + + + + + +
+ + + + \ No newline at end of file diff --git a/previews/PR111/api.html b/previews/PR111/api.html new file mode 100644 index 00000000..07f4d61c --- /dev/null +++ b/previews/PR111/api.html @@ -0,0 +1,44 @@ + + + + + + Tyler + + + + + + + + + + + + + + + +
Tyler

Appearance

API ​

Tyler.ElevationProvider Type
julia
ElevationProvider(color_provider::Union{Nothing, AbstractProvider}=TileProviders.Esri(:WorldImagery); cache_size_gb=5)

Provider rendering elevation data from arcgis. This provider is special, since it uses a second provider for color information, which also means you can provide a cache size, since color tile caching has to be managed by the provider. When set to nothing, no color provider is used and the elevation data is used to color the surface with a colormap directly. Use Map(..., plot_config=Tyler.PlotConfig(colormap=colormap)) to set the colormap and other surface plot attributes.

source

Tyler.GeoTilePointCloudProvider Type
julia
GeoTilePointCloudProvider(subset="AHN1_T")

The PointCloud provider downloads from geotiles.citg.tudelft, which spans most of the netherlands. You can specify the subset to download from, which can be one of the following:

  • AHN1_T (default): The most corse dataset, but also the fastest to download (1-5mb compressed per tile)

  • AHN2_T: More detailed dataset (~70mb per tile)

  • AHN3_T: ~250mb per tile

  • AHN4_T: 300-500mb showing much detail, takes a long time to load each tile (over 1 minute per tile). Use max_plots=5 to limit the number of tiles loaded at once.

source

Tyler.Interpolator Type
julia
Interpolator <: AbstractProvider
+
+Interpolator(f; colormap=:thermal, options=Dict(:minzoom=1, :maxzoom=19))

Provides tiles by interpolating them on the fly.

  • f: an Interpolations.jl interpolator or similar.

  • colormap: A Symbol or Vector{RGBA{Float32}}. Default is :thermal.

source

Tyler.Map Type
julia
Map(extent, [extent_crs=wgs84]; kw...)
+Map(map::Map; ...) # layering another provider on top of an existing map

Tylers main object, it plots tiles onto a Makie.jl Axis, downloading and plotting more tiles as you zoom and pan. When layering providers over each other with Map(map::Map; ...), you can use toggle_visibility!(map) to hide/unhide them.

Arguments

-extent: the initial extent of the map, as a GeometryBasics.Rect or an Extents.Extent in the projection of extent_crs. -extent_crs: Any GeoFormatTypes compatible crs, the default is wsg84.

Keywords

-size: The figure size. -figure: an existing Makie.Figure object. -crs: The providers coordinate reference system. -provider: a TileProviders.jl Provider. -max_parallel_downloads: limits the attempted simultaneous downloads, with a default of 16. -cache_size_gb: limits the cache for storing tiles, with a default of 5. -fetching_scheme=Halo2DTiling(): The tile fetching scheme. Can be SimpleTiling(), Halo2DTiling(), or Tiling3D(). -scale: a tile scaling factor. Low number decrease the downloads but reduce the resolution. The default is 0.5. -plot_config: A PlotConfig object to change the way tiles are plotted. -max_zoom: The maximum zoom level to display, with a default of TileProviders.max_zoom(provider). -max_plots=400: The maximum number of plots to keep displayed at the same time.

source

Tyler.Map Method
julia
Map(m::Map; kw...)

Layering constructor to show another provider on top of an existing map.

Example

julia
lat, lon = (52.395593, 4.884704)
+delta = 0.01
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+m1 = Tyler.Map(ext)
+m2 = Tyler.Map(m1; provider=TileProviders.Esri(:WorldImagery), plot_config=Tyler.PlotConfig(alpha=0.5, postprocess=(p-> translate!(p, 0, 0, 1f0))))
+m1

source

Tyler.PlotConfig Method
julia
PlotConfig(; preprocess=identity, postprocess=identity, plot_attributes...)

Creates a PlotConfig object to influence how tiles are being plotted.

  • preprocess(tile_data): Function to preprocess the data before plotting. For a tile provider returning image data, preprocess will be called on the image data before plotting.

  • postprocess(tile_data): Function to mutate the plot object after creation. Can be used like this: (plot)-> translate!(plot, 0, 0, 1).

  • plot_attributes: Additional attributes to pass to the plot

Example

julia
using Tyler, GLMakie
+
+config = PlotConfig(
+    preprocess = (data) -> data .+ 1,
+    postprocess = (plot) -> translate!(plot, 0, 0, 1),
+    color = :red
+)
+lat, lon = (52.395593, 4.884704)
+delta = 0.1
+extent = Extent(; X=(lon - delta / 2, lon + delta / 2), Y=(lat - delta / 2, lat + delta / 2))
+Tyler.Map(extent; provider=Tyler.TileProviders.Esri(:WorldImagery), plot_config=config)

source

+ + + + \ No newline at end of file diff --git a/previews/PR111/assets/alpine.CXfd9LFs.png b/previews/PR111/assets/alpine.CXfd9LFs.png new file mode 100644 index 00000000..eab2fe53 Binary files /dev/null and b/previews/PR111/assets/alpine.CXfd9LFs.png differ diff --git a/previews/PR111/assets/api.md.QdOlLcWB.js b/previews/PR111/assets/api.md.QdOlLcWB.js new file mode 100644 index 00000000..ed9e2267 --- /dev/null +++ b/previews/PR111/assets/api.md.QdOlLcWB.js @@ -0,0 +1,19 @@ +import{_ as n,c as p,j as i,a,G as e,a5 as l,B as h,o as k}from"./chunks/framework.CnUH-vym.js";const T=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"api.md","filePath":"api.md","lastUpdated":null}'),r={name:"api.md"},o={class:"jldocstring custom-block",open:""},d={class:"jldocstring custom-block",open:""},E={class:"jldocstring custom-block",open:""},g={class:"jldocstring custom-block",open:""},c={class:"jldocstring custom-block",open:""},y={class:"jldocstring custom-block",open:""};function F(u,s,C,m,b,f){const t=h("Badge");return k(),p("div",null,[s[18]||(s[18]=i("h2",{id:"api",tabindex:"-1"},[a("API "),i("a",{class:"header-anchor",href:"#api","aria-label":'Permalink to "API"'},"​")],-1)),i("details",o,[i("summary",null,[s[0]||(s[0]=i("a",{id:"Tyler.ElevationProvider",href:"#Tyler.ElevationProvider"},[i("span",{class:"jlbinding"},"Tyler.ElevationProvider")],-1)),s[1]||(s[1]=a()),e(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),s[2]||(s[2]=l('
julia
ElevationProvider(color_provider::Union{Nothing, AbstractProvider}=TileProviders.Esri(:WorldImagery); cache_size_gb=5)

Provider rendering elevation data from arcgis. This provider is special, since it uses a second provider for color information, which also means you can provide a cache size, since color tile caching has to be managed by the provider. When set to nothing, no color provider is used and the elevation data is used to color the surface with a colormap directly. Use Map(..., plot_config=Tyler.PlotConfig(colormap=colormap)) to set the colormap and other surface plot attributes.

source

',3))]),i("details",d,[i("summary",null,[s[3]||(s[3]=i("a",{id:"Tyler.GeoTilePointCloudProvider",href:"#Tyler.GeoTilePointCloudProvider"},[i("span",{class:"jlbinding"},"Tyler.GeoTilePointCloudProvider")],-1)),s[4]||(s[4]=a()),e(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),s[5]||(s[5]=l('
julia
GeoTilePointCloudProvider(subset="AHN1_T")

The PointCloud provider downloads from geotiles.citg.tudelft, which spans most of the netherlands. You can specify the subset to download from, which can be one of the following:

source

',4))]),i("details",E,[i("summary",null,[s[6]||(s[6]=i("a",{id:"Tyler.Interpolator",href:"#Tyler.Interpolator"},[i("span",{class:"jlbinding"},"Tyler.Interpolator")],-1)),s[7]||(s[7]=a()),e(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),s[8]||(s[8]=l(`
julia
Interpolator <: AbstractProvider
+
+Interpolator(f; colormap=:thermal, options=Dict(:minzoom=1, :maxzoom=19))

Provides tiles by interpolating them on the fly.

source

`,4))]),i("details",g,[i("summary",null,[s[9]||(s[9]=i("a",{id:"Tyler.Map",href:"#Tyler.Map"},[i("span",{class:"jlbinding"},"Tyler.Map")],-1)),s[10]||(s[10]=a()),e(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),s[11]||(s[11]=l(`
julia
Map(extent, [extent_crs=wgs84]; kw...)
+Map(map::Map; ...) # layering another provider on top of an existing map

Tylers main object, it plots tiles onto a Makie.jl Axis, downloading and plotting more tiles as you zoom and pan. When layering providers over each other with Map(map::Map; ...), you can use toggle_visibility!(map) to hide/unhide them.

Arguments

-extent: the initial extent of the map, as a GeometryBasics.Rect or an Extents.Extent in the projection of extent_crs. -extent_crs: Any GeoFormatTypes compatible crs, the default is wsg84.

Keywords

-size: The figure size. -figure: an existing Makie.Figure object. -crs: The providers coordinate reference system. -provider: a TileProviders.jl Provider. -max_parallel_downloads: limits the attempted simultaneous downloads, with a default of 16. -cache_size_gb: limits the cache for storing tiles, with a default of 5. -fetching_scheme=Halo2DTiling(): The tile fetching scheme. Can be SimpleTiling(), Halo2DTiling(), or Tiling3D(). -scale: a tile scaling factor. Low number decrease the downloads but reduce the resolution. The default is 0.5. -plot_config: A PlotConfig object to change the way tiles are plotted. -max_zoom: The maximum zoom level to display, with a default of TileProviders.max_zoom(provider). -max_plots=400: The maximum number of plots to keep displayed at the same time.

source

`,7))]),i("details",c,[i("summary",null,[s[12]||(s[12]=i("a",{id:"Tyler.Map-Tuple{Tyler.Map}",href:"#Tyler.Map-Tuple{Tyler.Map}"},[i("span",{class:"jlbinding"},"Tyler.Map")],-1)),s[13]||(s[13]=a()),e(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),s[14]||(s[14]=l(`
julia
Map(m::Map; kw...)

Layering constructor to show another provider on top of an existing map.

Example

julia
lat, lon = (52.395593, 4.884704)
+delta = 0.01
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+m1 = Tyler.Map(ext)
+m2 = Tyler.Map(m1; provider=TileProviders.Esri(:WorldImagery), plot_config=Tyler.PlotConfig(alpha=0.5, postprocess=(p-> translate!(p, 0, 0, 1f0))))
+m1

source

`,5))]),i("details",y,[i("summary",null,[s[15]||(s[15]=i("a",{id:"Tyler.PlotConfig-Tuple{}",href:"#Tyler.PlotConfig-Tuple{}"},[i("span",{class:"jlbinding"},"Tyler.PlotConfig")],-1)),s[16]||(s[16]=a()),e(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),s[17]||(s[17]=l(`
julia
PlotConfig(; preprocess=identity, postprocess=identity, plot_attributes...)

Creates a PlotConfig object to influence how tiles are being plotted.

Example

julia
using Tyler, GLMakie
+
+config = PlotConfig(
+    preprocess = (data) -> data .+ 1,
+    postprocess = (plot) -> translate!(plot, 0, 0, 1),
+    color = :red
+)
+lat, lon = (52.395593, 4.884704)
+delta = 0.1
+extent = Extent(; X=(lon - delta / 2, lon + delta / 2), Y=(lat - delta / 2, lat + delta / 2))
+Tyler.Map(extent; provider=Tyler.TileProviders.Esri(:WorldImagery), plot_config=config)

source

`,6))])])}const A=n(r,[["render",F]]);export{T as __pageData,A as default}; diff --git a/previews/PR111/assets/api.md.QdOlLcWB.lean.js b/previews/PR111/assets/api.md.QdOlLcWB.lean.js new file mode 100644 index 00000000..ed9e2267 --- /dev/null +++ b/previews/PR111/assets/api.md.QdOlLcWB.lean.js @@ -0,0 +1,19 @@ +import{_ as n,c as p,j as i,a,G as e,a5 as l,B as h,o as k}from"./chunks/framework.CnUH-vym.js";const T=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"api.md","filePath":"api.md","lastUpdated":null}'),r={name:"api.md"},o={class:"jldocstring custom-block",open:""},d={class:"jldocstring custom-block",open:""},E={class:"jldocstring custom-block",open:""},g={class:"jldocstring custom-block",open:""},c={class:"jldocstring custom-block",open:""},y={class:"jldocstring custom-block",open:""};function F(u,s,C,m,b,f){const t=h("Badge");return k(),p("div",null,[s[18]||(s[18]=i("h2",{id:"api",tabindex:"-1"},[a("API "),i("a",{class:"header-anchor",href:"#api","aria-label":'Permalink to "API"'},"​")],-1)),i("details",o,[i("summary",null,[s[0]||(s[0]=i("a",{id:"Tyler.ElevationProvider",href:"#Tyler.ElevationProvider"},[i("span",{class:"jlbinding"},"Tyler.ElevationProvider")],-1)),s[1]||(s[1]=a()),e(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),s[2]||(s[2]=l('
julia
ElevationProvider(color_provider::Union{Nothing, AbstractProvider}=TileProviders.Esri(:WorldImagery); cache_size_gb=5)

Provider rendering elevation data from arcgis. This provider is special, since it uses a second provider for color information, which also means you can provide a cache size, since color tile caching has to be managed by the provider. When set to nothing, no color provider is used and the elevation data is used to color the surface with a colormap directly. Use Map(..., plot_config=Tyler.PlotConfig(colormap=colormap)) to set the colormap and other surface plot attributes.

source

',3))]),i("details",d,[i("summary",null,[s[3]||(s[3]=i("a",{id:"Tyler.GeoTilePointCloudProvider",href:"#Tyler.GeoTilePointCloudProvider"},[i("span",{class:"jlbinding"},"Tyler.GeoTilePointCloudProvider")],-1)),s[4]||(s[4]=a()),e(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),s[5]||(s[5]=l('
julia
GeoTilePointCloudProvider(subset="AHN1_T")

The PointCloud provider downloads from geotiles.citg.tudelft, which spans most of the netherlands. You can specify the subset to download from, which can be one of the following:

source

',4))]),i("details",E,[i("summary",null,[s[6]||(s[6]=i("a",{id:"Tyler.Interpolator",href:"#Tyler.Interpolator"},[i("span",{class:"jlbinding"},"Tyler.Interpolator")],-1)),s[7]||(s[7]=a()),e(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),s[8]||(s[8]=l(`
julia
Interpolator <: AbstractProvider
+
+Interpolator(f; colormap=:thermal, options=Dict(:minzoom=1, :maxzoom=19))

Provides tiles by interpolating them on the fly.

source

`,4))]),i("details",g,[i("summary",null,[s[9]||(s[9]=i("a",{id:"Tyler.Map",href:"#Tyler.Map"},[i("span",{class:"jlbinding"},"Tyler.Map")],-1)),s[10]||(s[10]=a()),e(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),s[11]||(s[11]=l(`
julia
Map(extent, [extent_crs=wgs84]; kw...)
+Map(map::Map; ...) # layering another provider on top of an existing map

Tylers main object, it plots tiles onto a Makie.jl Axis, downloading and plotting more tiles as you zoom and pan. When layering providers over each other with Map(map::Map; ...), you can use toggle_visibility!(map) to hide/unhide them.

Arguments

-extent: the initial extent of the map, as a GeometryBasics.Rect or an Extents.Extent in the projection of extent_crs. -extent_crs: Any GeoFormatTypes compatible crs, the default is wsg84.

Keywords

-size: The figure size. -figure: an existing Makie.Figure object. -crs: The providers coordinate reference system. -provider: a TileProviders.jl Provider. -max_parallel_downloads: limits the attempted simultaneous downloads, with a default of 16. -cache_size_gb: limits the cache for storing tiles, with a default of 5. -fetching_scheme=Halo2DTiling(): The tile fetching scheme. Can be SimpleTiling(), Halo2DTiling(), or Tiling3D(). -scale: a tile scaling factor. Low number decrease the downloads but reduce the resolution. The default is 0.5. -plot_config: A PlotConfig object to change the way tiles are plotted. -max_zoom: The maximum zoom level to display, with a default of TileProviders.max_zoom(provider). -max_plots=400: The maximum number of plots to keep displayed at the same time.

source

`,7))]),i("details",c,[i("summary",null,[s[12]||(s[12]=i("a",{id:"Tyler.Map-Tuple{Tyler.Map}",href:"#Tyler.Map-Tuple{Tyler.Map}"},[i("span",{class:"jlbinding"},"Tyler.Map")],-1)),s[13]||(s[13]=a()),e(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),s[14]||(s[14]=l(`
julia
Map(m::Map; kw...)

Layering constructor to show another provider on top of an existing map.

Example

julia
lat, lon = (52.395593, 4.884704)
+delta = 0.01
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+m1 = Tyler.Map(ext)
+m2 = Tyler.Map(m1; provider=TileProviders.Esri(:WorldImagery), plot_config=Tyler.PlotConfig(alpha=0.5, postprocess=(p-> translate!(p, 0, 0, 1f0))))
+m1

source

`,5))]),i("details",y,[i("summary",null,[s[15]||(s[15]=i("a",{id:"Tyler.PlotConfig-Tuple{}",href:"#Tyler.PlotConfig-Tuple{}"},[i("span",{class:"jlbinding"},"Tyler.PlotConfig")],-1)),s[16]||(s[16]=a()),e(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),s[17]||(s[17]=l(`
julia
PlotConfig(; preprocess=identity, postprocess=identity, plot_attributes...)

Creates a PlotConfig object to influence how tiles are being plotted.

Example

julia
using Tyler, GLMakie
+
+config = PlotConfig(
+    preprocess = (data) -> data .+ 1,
+    postprocess = (plot) -> translate!(plot, 0, 0, 1),
+    color = :red
+)
+lat, lon = (52.395593, 4.884704)
+delta = 0.1
+extent = Extent(; X=(lon - delta / 2, lon + delta / 2), Y=(lat - delta / 2, lat + delta / 2))
+Tyler.Map(extent; provider=Tyler.TileProviders.Esri(:WorldImagery), plot_config=config)

source

`,6))])])}const A=n(r,[["render",F]]);export{T as __pageData,A as default}; diff --git a/previews/PR111/assets/app.C917MfOr.js b/previews/PR111/assets/app.C917MfOr.js new file mode 100644 index 00000000..4443a887 --- /dev/null +++ b/previews/PR111/assets/app.C917MfOr.js @@ -0,0 +1 @@ +import{R as p}from"./chunks/theme.C_dYy6Xh.js";import{R as o,a6 as u,a7 as c,a8 as l,a9 as f,aa as d,ab as m,ac as h,ad as g,ae as A,af as v,d as P,u as R,v as w,s as y,ag as C,ah as b,ai as E,a4 as S}from"./chunks/framework.CnUH-vym.js";function i(e){if(e.extends){const a=i(e.extends);return{...a,...e,async enhanceApp(t){a.enhanceApp&&await a.enhanceApp(t),e.enhanceApp&&await e.enhanceApp(t)}}}return e}const s=i(p),T=P({name:"VitePressApp",setup(){const{site:e,lang:a,dir:t}=R();return w(()=>{y(()=>{document.documentElement.lang=a.value,document.documentElement.dir=t.value})}),e.value.router.prefetchLinks&&C(),b(),E(),s.setup&&s.setup(),()=>S(s.Layout)}});async function D(){globalThis.__VITEPRESS__=!0;const e=j(),a=_();a.provide(c,e);const t=l(e.route);return a.provide(f,t),a.component("Content",d),a.component("ClientOnly",m),Object.defineProperties(a.config.globalProperties,{$frontmatter:{get(){return t.frontmatter.value}},$params:{get(){return t.page.value.params}}}),s.enhanceApp&&await s.enhanceApp({app:a,router:e,siteData:h}),{app:a,router:e,data:t}}function _(){return g(T)}function j(){let e=o,a;return A(t=>{let n=v(t),r=null;return n&&(e&&(a=n),(e||a===n)&&(n=n.replace(/\.js$/,".lean.js")),r=import(n)),o&&(e=!1),r},s.NotFound)}o&&D().then(({app:e,router:a,data:t})=>{a.go().then(()=>{u(a.route,t.site),e.mount("#app")})});export{D as createApp}; diff --git a/previews/PR111/assets/bkburzv.B8ikbtBl.png b/previews/PR111/assets/bkburzv.B8ikbtBl.png new file mode 100644 index 00000000..b9808de3 Binary files /dev/null and b/previews/PR111/assets/bkburzv.B8ikbtBl.png differ diff --git a/previews/PR111/assets/cfhkdyl.BxVNfquj.jpeg 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t=this.opt.caseSensitive?"":"i",s=this.opt.caseSensitive?["aàáảãạăằắẳẵặâầấẩẫậäåāą","AÀÁẢÃẠĂẰẮẲẴẶÂẦẤẨẪẬÄÅĀĄ","cçćč","CÇĆČ","dđď","DĐĎ","eèéẻẽẹêềếểễệëěēę","EÈÉẺẼẸÊỀẾỂỄỆËĚĒĘ","iìíỉĩịîïī","IÌÍỈĨỊÎÏĪ","lł","LŁ","nñňń","NÑŇŃ","oòóỏõọôồốổỗộơởỡớờợöøō","OÒÓỎÕỌÔỒỐỔỖỘƠỞỠỚỜỢÖØŌ","rř","RŘ","sšśșş","SŠŚȘŞ","tťțţ","TŤȚŢ","uùúủũụưừứửữựûüůū","UÙÚỦŨỤƯỪỨỬỮỰÛÜŮŪ","yýỳỷỹỵÿ","YÝỲỶỸỴŸ","zžżź","ZŽŻŹ"]:["aàáảãạăằắẳẵặâầấẩẫậäåāąAÀÁẢÃẠĂẰẮẲẴẶÂẦẤẨẪẬÄÅĀĄ","cçćčCÇĆČ","dđďDĐĎ","eèéẻẽẹêềếểễệëěēęEÈÉẺẼẸÊỀẾỂỄỆËĚĒĘ","iìíỉĩịîïīIÌÍỈĨỊÎÏĪ","lłLŁ","nñňńNÑŇŃ","oòóỏõọôồốổỗộơởỡớờợöøōOÒÓỎÕỌÔỒỐỔỖỘƠỞỠỚỜỢÖØŌ","rřRŘ","sšśșşSŠŚȘŞ","tťțţTŤȚŢ","uùúủũụưừứửữựûüůūUÙÚỦŨỤƯỪỨỬỮỰÛÜŮŪ","yýỳỷỹỵÿYÝỲỶỸỴŸ","zžżźZŽŻŹ"];let n=[];return e.split("").forEach(r=>{s.every(i=>{if(i.indexOf(r)!==-1){if(n.indexOf(i)>-1)return!1;e=e.replace(new RegExp(`[${i}]`,`gm${t}`),`[${i}]`),n.push(i)}return!0})}),e}createMergedBlanksRegExp(e){return e.replace(/[\s]+/gmi,"[\\s]+")}createAccuracyRegExp(e){const t="!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~¡¿";let 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Map,this._dirtCount=0,this._currentVacuum=null,this._enqueuedVacuum=null,this._enqueuedVacuumConditions=Ue,this.addFields(this._options.fields)}add(e){const{extractField:t,tokenize:s,processTerm:n,fields:r,idField:i}=this._options,o=t(e,i);if(o==null)throw new Error(`MiniSearch: document does not have ID field "${i}"`);if(this._idToShortId.has(o))throw new Error(`MiniSearch: duplicate ID ${o}`);const l=this.addDocumentId(o);this.saveStoredFields(l,e);for(const c of r){const h=t(e,c);if(h==null)continue;const m=s(h.toString(),c),f=this._fieldIds[c],b=new Set(m).size;this.addFieldLength(l,f,this._documentCount-1,b);for(const y of m){const x=n(y,c);if(Array.isArray(x))for(const w of x)this.addTerm(f,l,w);else x&&this.addTerm(f,l,x)}}}addAll(e){for(const t of e)this.add(t)}addAllAsync(e,t={}){const{chunkSize:s=10}=t,n={chunk:[],promise:Promise.resolve()},{chunk:r,promise:i}=e.reduce(({chunk:o,promise:l},c,h)=>(o.push(c),(h+1)%s===0?{chunk:[],promise:l.then(()=>new 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Tyler.jl ​

A package for downloading map tiles on demand from different data source providers.

This package is currently in the initial phase of development. It needs support. Sponsorships are welcome!

Installation ​

In the Julia REPL type:

julia
] add Tyler

The ] character starts the Julia package manager. Hit backspace key to return to Julia prompt.

Or, explicitly use Pkg

julia
using Pkg
+Pkg.add(["Tyler.jl"])

Demo: London ​

julia
using Tyler, GLMakie
+m = Tyler.Map(Rect2f(-0.0921, 51.5, 0.04, 0.025))

INFO

A Rect2f definition takes as input the origin, first two entries, and the width and hight, last two numbers.

Tile provider ​

We can use a different tile provider as well as any style theme from Makie as follows:

julia
using GLMakie, Tyler
+using Tyler.TileProviders
+
+provider = TileProviders.OpenStreetMap(:Mapnik)
+london = Rect2f(-0.0921, 51.5, 0.04, 0.025)
+
+with_theme(theme_dark()) do
+    m = Tyler.Map(london; provider)
+    hidedecorations!(m.axis)
+    hidespines!(m.axis)
+    m
+end

Providers list ​

More providers are available. See the following list:

julia
providers = TileProviders.list_providers()
Dict{Function, Vector{Symbol}} with 40 entries:
+  OpenAIP            => []
+  WaymarkedTrails    => [:hiking, :cycling, :mtb, :slopes, :riding, :skating]
+  NASAGIBSTimeseries => [:Agricultural_Lands_Croplands_2000, :Agricultural_Land…
+  Esri               => [:WorldStreetMap, :DeLorme, :WorldTopoMap, :WorldImager…
+  OPNVKarte          => []
+  BasemapAT          => [:basemap, :grau, :overlay, :terrain, :surface, :highdp…
+  OpenTopoMap        => []
+  FreeMapSK          => []
+  OpenFireMap        => []
+  OpenWeatherMap     => [:Clouds, :CloudsClassic, :Precipitation, :Precipitatio…
+  CyclOSM            => []
+  OpenSeaMap         => []
+  NLS                => [:osgb63k1885, :osgb1888, :osgb10k1888, :osgb1919, :osg…
+  OpenSnowMap        => [:pistes]
+  AzureMaps          => [:MicrosoftImagery, :MicrosoftBaseDarkGrey, :MicrosoftB…
+  TopPlusOpen        => [:Color, :Grey]
+  MtbMap             => []
+  OpenStreetMap      => [:Mapnik, :DE, :CH, :France, :HOT, :BZH]
+  NASAGIBS           => [:ModisTerraTrueColorCR, :ModisTerraBands367CR, :ViirsE…
+  ⋮                  => ⋮

INFO

For some providers additional configuration steps are necessary, look at the TileProviders.jl documentation for more information.

Figure size & aspect ratio ​

Although, the figure size can be controlled by passing additional arguments to Map, it's better to define a Figure first and then continue with a normal Makie's figure creation workflow, namely

julia
using GLMakie, Tyler
+using Tyler.TileProviders
+
+provider = TileProviders.OpenTopoMap()
+london = Rect2f(-0.0921, 51.5, 0.04, 0.025)
+
+with_theme(theme_dark()) do
+    fig = Figure(; size =(1200,600))
+    ax = Axis(fig[1,1]) # aspect = DataAspect()
+    m = Tyler.Map(london; provider, figure=fig, axis=ax)
+    wait(m)
+    hidedecorations!(ax)
+    hidespines!(ax)
+    fig
+end

Next, we could add any other plot type on top of the ax axis defined above.

',27)]))}const F=i(h,[["render",k]]);export{y as __pageData,F as default}; diff --git a/previews/PR111/assets/getting_started.md.BzsA164f.lean.js b/previews/PR111/assets/getting_started.md.BzsA164f.lean.js new file mode 100644 index 00000000..3cb0d9e5 --- /dev/null +++ b/previews/PR111/assets/getting_started.md.BzsA164f.lean.js @@ -0,0 +1,48 @@ +import{_ as i,c as a,a5 as n,o as e}from"./chunks/framework.CnUH-vym.js";const p="/Tyler.jl/previews/PR111/assets/ecyiydl.d6nSPdty.png",t="/Tyler.jl/previews/PR111/assets/ukjyteg.XqurVF-C.png",l="/Tyler.jl/previews/PR111/assets/cfhkdyl.BxVNfquj.jpeg",y=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"getting_started.md","filePath":"getting_started.md","lastUpdated":null}'),h={name:"getting_started.md"};function k(r,s,d,o,E,g){return e(),a("div",null,s[0]||(s[0]=[n(`

Tyler.jl ​

A package for downloading map tiles on demand from different data source providers.

This package is currently in the initial phase of development. It needs support. Sponsorships are welcome!

Installation ​

In the Julia REPL type:

julia
] add Tyler

The ] character starts the Julia package manager. Hit backspace key to return to Julia prompt.

Or, explicitly use Pkg

julia
using Pkg
+Pkg.add(["Tyler.jl"])

Demo: London ​

julia
using Tyler, GLMakie
+m = Tyler.Map(Rect2f(-0.0921, 51.5, 0.04, 0.025))

INFO

A Rect2f definition takes as input the origin, first two entries, and the width and hight, last two numbers.

Tile provider ​

We can use a different tile provider as well as any style theme from Makie as follows:

julia
using GLMakie, Tyler
+using Tyler.TileProviders
+
+provider = TileProviders.OpenStreetMap(:Mapnik)
+london = Rect2f(-0.0921, 51.5, 0.04, 0.025)
+
+with_theme(theme_dark()) do
+    m = Tyler.Map(london; provider)
+    hidedecorations!(m.axis)
+    hidespines!(m.axis)
+    m
+end

Providers list ​

More providers are available. See the following list:

julia
providers = TileProviders.list_providers()
Dict{Function, Vector{Symbol}} with 40 entries:
+  OpenAIP            => []
+  WaymarkedTrails    => [:hiking, :cycling, :mtb, :slopes, :riding, :skating]
+  NASAGIBSTimeseries => [:Agricultural_Lands_Croplands_2000, :Agricultural_Land…
+  Esri               => [:WorldStreetMap, :DeLorme, :WorldTopoMap, :WorldImager…
+  OPNVKarte          => []
+  BasemapAT          => [:basemap, :grau, :overlay, :terrain, :surface, :highdp…
+  OpenTopoMap        => []
+  FreeMapSK          => []
+  OpenFireMap        => []
+  OpenWeatherMap     => [:Clouds, :CloudsClassic, :Precipitation, :Precipitatio…
+  CyclOSM            => []
+  OpenSeaMap         => []
+  NLS                => [:osgb63k1885, :osgb1888, :osgb10k1888, :osgb1919, :osg…
+  OpenSnowMap        => [:pistes]
+  AzureMaps          => [:MicrosoftImagery, :MicrosoftBaseDarkGrey, :MicrosoftB…
+  TopPlusOpen        => [:Color, :Grey]
+  MtbMap             => []
+  OpenStreetMap      => [:Mapnik, :DE, :CH, :France, :HOT, :BZH]
+  NASAGIBS           => [:ModisTerraTrueColorCR, :ModisTerraBands367CR, :ViirsE…
+  ⋮                  => ⋮

INFO

For some providers additional configuration steps are necessary, look at the TileProviders.jl documentation for more information.

Figure size & aspect ratio ​

Although, the figure size can be controlled by passing additional arguments to Map, it's better to define a Figure first and then continue with a normal Makie's figure creation workflow, namely

julia
using GLMakie, Tyler
+using Tyler.TileProviders
+
+provider = TileProviders.OpenTopoMap()
+london = Rect2f(-0.0921, 51.5, 0.04, 0.025)
+
+with_theme(theme_dark()) do
+    fig = Figure(; size =(1200,600))
+    ax = Axis(fig[1,1]) # aspect = DataAspect()
+    m = Tyler.Map(london; provider, figure=fig, axis=ax)
+    wait(m)
+    hidedecorations!(ax)
+    hidespines!(ax)
+    fig
+end

Next, we could add any other plot type on top of the ax axis defined above.

',27)]))}const F=i(h,[["render",k]]);export{y as __pageData,F as default}; diff --git a/previews/PR111/assets/iceloss_ex.md.Cfn4zoy5.js b/previews/PR111/assets/iceloss_ex.md.Cfn4zoy5.js new file mode 100644 index 00000000..a4346ae7 --- /dev/null +++ b/previews/PR111/assets/iceloss_ex.md.Cfn4zoy5.js @@ -0,0 +1,46 @@ +import{_ as i,c as a,a5 as h,o as n}from"./chunks/framework.CnUH-vym.js";const k="/Tyler.jl/previews/PR111/assets/omgnmij.d7P5S1c4.png",l="/Tyler.jl/previews/PR111/assets/fpxgmvc.BNZYDzi0.png",p="/Tyler.jl/previews/PR111/assets/bkburzv.B8ikbtBl.png",c=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"iceloss_ex.md","filePath":"iceloss_ex.md","lastUpdated":null}'),t={name:"iceloss_ex.md"};function e(E,s,r,d,g,y){return n(),a("div",null,s[0]||(s[0]=[h(`

Greenland ice loss example: animated & interactive ​

julia
using Tyler
+using Tyler.TileProviders
+using Tyler.Extents
+using Dates
+using HTTP
+using Arrow
+using DataFrames
+using GLMakie
+using GLMakie.Colors
+GLMakie.activate!()

INFO

Ice loss from the Greenland Ice Sheet: 1972-2022.

  • Contact person: Alex Gardner & Chad Greene

Load ice loss data [courtesy of Chad Greene @ JPL]

julia
url = "https://github.com/JuliaGeo/JuliaGeoData/blob/365a09596bfca59e0977c20c2c2f566c0b29dbaa/assets/data/iceloss_subset.arrow?raw=true";
+resp = HTTP.get(url);
+df = DataFrame(Arrow.Table(resp.body));
+first(df, 5)

select map provider

julia
provider = TileProviders.Esri(:WorldImagery);

Greenland extent

julia
extent = Extent(X = (-54., -48.), Y = (68.8, 72.5));
Extent(X = (-54.0, -48.0), Y = (68.8, 72.5))

extract data

julia
cnt = [length(foo) for foo in df.X];
+X =  reduce(vcat,df.X);
+Y =  reduce(vcat,df.Y);
+Z = [repeat([i],c) for (i, c) = enumerate(cnt)];
+Z = reduce(vcat,Z);

make a colormap

julia
nc = length(Makie.to_colormap(:thermal));
+n = nrow(df);
+alpha = zeros(nc);
+alpha[1:maximum([1,round(Int64,1*nc/n)])] = alpha[1:maximum([1,round(Int64,1*nc/n)])] .* (1.05^-1.5);
+alpha[maximum([1,round(Int64,1*nc/n)])] = 1;
+cmap = Colors.alphacolor.(Makie.to_colormap(:thermal), alpha);
+cmap = Observable(cmap);

show map

julia
fig = Figure(; size = (1200,600))
+ax = Axis(fig[1,1])
+m = Tyler.Map(extent; provider, figure=fig, axis=ax)

create initial scatter plot

julia
scatter!(ax, X, Y; color = Z, colormap = cmap, colorrange = [0, n], markersize = 10);
+m

add colorbar

julia
a,b = extrema(df.Date);
+a = year(a);
+b = year(b);
+Colorbar(fig[1,2]; colormap = cmap, colorrange = [a,b],
+    height=Relative(0.5), width = 15)
+# hide ticks, grid and lables
+hidedecorations!(ax);
+# hide frames
+hidespines!(ax);
+m

loop to create animation

julia
for k = 1:15
+    # reset apha
+    alpha[:] = zeros(nc);
+    cmap[] = Colors.alphacolor.(cmap[], alpha)
+    for i in 2:1:n
+        # modify alpha
+        alpha[1:maximum([1,round(Int64,i*nc/n)])] = alpha[1:maximum([1,round(Int64,i*nc/n)])] .* (1.05^-1.5);
+        alpha[maximum([1,round(Int64,i*nc/n)])] = 1;
+        cmap[] = Colors.alphacolor.(cmap[], alpha);
+        sleep(0.001);
+    end
+end

`,26)]))}const o=i(t,[["render",e]]);export{c as __pageData,o as default}; diff --git a/previews/PR111/assets/iceloss_ex.md.Cfn4zoy5.lean.js b/previews/PR111/assets/iceloss_ex.md.Cfn4zoy5.lean.js new file mode 100644 index 00000000..a4346ae7 --- /dev/null +++ b/previews/PR111/assets/iceloss_ex.md.Cfn4zoy5.lean.js @@ -0,0 +1,46 @@ +import{_ as i,c as a,a5 as h,o as n}from"./chunks/framework.CnUH-vym.js";const k="/Tyler.jl/previews/PR111/assets/omgnmij.d7P5S1c4.png",l="/Tyler.jl/previews/PR111/assets/fpxgmvc.BNZYDzi0.png",p="/Tyler.jl/previews/PR111/assets/bkburzv.B8ikbtBl.png",c=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"iceloss_ex.md","filePath":"iceloss_ex.md","lastUpdated":null}'),t={name:"iceloss_ex.md"};function e(E,s,r,d,g,y){return n(),a("div",null,s[0]||(s[0]=[h(`

Greenland ice loss example: animated & interactive ​

julia
using Tyler
+using Tyler.TileProviders
+using Tyler.Extents
+using Dates
+using HTTP
+using Arrow
+using DataFrames
+using GLMakie
+using GLMakie.Colors
+GLMakie.activate!()

INFO

Ice loss from the Greenland Ice Sheet: 1972-2022.

  • Contact person: Alex Gardner & Chad Greene

Load ice loss data [courtesy of Chad Greene @ JPL]

julia
url = "https://github.com/JuliaGeo/JuliaGeoData/blob/365a09596bfca59e0977c20c2c2f566c0b29dbaa/assets/data/iceloss_subset.arrow?raw=true";
+resp = HTTP.get(url);
+df = DataFrame(Arrow.Table(resp.body));
+first(df, 5)

select map provider

julia
provider = TileProviders.Esri(:WorldImagery);

Greenland extent

julia
extent = Extent(X = (-54., -48.), Y = (68.8, 72.5));
Extent(X = (-54.0, -48.0), Y = (68.8, 72.5))

extract data

julia
cnt = [length(foo) for foo in df.X];
+X =  reduce(vcat,df.X);
+Y =  reduce(vcat,df.Y);
+Z = [repeat([i],c) for (i, c) = enumerate(cnt)];
+Z = reduce(vcat,Z);

make a colormap

julia
nc = length(Makie.to_colormap(:thermal));
+n = nrow(df);
+alpha = zeros(nc);
+alpha[1:maximum([1,round(Int64,1*nc/n)])] = alpha[1:maximum([1,round(Int64,1*nc/n)])] .* (1.05^-1.5);
+alpha[maximum([1,round(Int64,1*nc/n)])] = 1;
+cmap = Colors.alphacolor.(Makie.to_colormap(:thermal), alpha);
+cmap = Observable(cmap);

show map

julia
fig = Figure(; size = (1200,600))
+ax = Axis(fig[1,1])
+m = Tyler.Map(extent; provider, figure=fig, axis=ax)

create initial scatter plot

julia
scatter!(ax, X, Y; color = Z, colormap = cmap, colorrange = [0, n], markersize = 10);
+m

add colorbar

julia
a,b = extrema(df.Date);
+a = year(a);
+b = year(b);
+Colorbar(fig[1,2]; colormap = cmap, colorrange = [a,b],
+    height=Relative(0.5), width = 15)
+# hide ticks, grid and lables
+hidedecorations!(ax);
+# hide frames
+hidespines!(ax);
+m

loop to create animation

julia
for k = 1:15
+    # reset apha
+    alpha[:] = zeros(nc);
+    cmap[] = Colors.alphacolor.(cmap[], alpha)
+    for i in 2:1:n
+        # modify alpha
+        alpha[1:maximum([1,round(Int64,i*nc/n)])] = alpha[1:maximum([1,round(Int64,i*nc/n)])] .* (1.05^-1.5);
+        alpha[maximum([1,round(Int64,i*nc/n)])] = 1;
+        cmap[] = Colors.alphacolor.(cmap[], alpha);
+        sleep(0.001);
+    end
+end

`,26)]))}const o=i(t,[["render",e]]);export{c as __pageData,o as default}; diff --git a/previews/PR111/assets/index.md.BXBSKqxG.js b/previews/PR111/assets/index.md.BXBSKqxG.js new file mode 100644 index 00000000..f8ae1af8 --- /dev/null +++ b/previews/PR111/assets/index.md.BXBSKqxG.js @@ -0,0 +1 @@ +import{_ as e,c as t,o as a}from"./chunks/framework.CnUH-vym.js";const m=JSON.parse('{"title":"","description":"","frontmatter":{"layout":"home","hero":{"name":"Tyler.jl","text":"Maps","tagline":"Download Map Tiles on Demand","image":{"src":"/logo.png","alt":"Tyler"},"actions":[{"theme":"brand","text":"Getting Started","link":"/getting_started"},{"theme":"alt","text":"View on Github","link":"https://github.com/MakieOrg/Tyler.jl"},{"theme":"brand","text":"Become a Sponsor","link":"https://makie.org/support/"}]},"features":[{"title":"TileProviders","details":"A large collection of tile providers."},{"title":"Makie integration","details":"Well integrated with the Makie ecosystem."}]},"headers":[],"relativePath":"index.md","filePath":"index.md","lastUpdated":null}'),i={name:"index.md"};function n(o,r,l,s,d,c){return a(),t("div")}const h=e(i,[["render",n]]);export{m as __pageData,h as default}; diff --git a/previews/PR111/assets/index.md.BXBSKqxG.lean.js b/previews/PR111/assets/index.md.BXBSKqxG.lean.js new file mode 100644 index 00000000..f8ae1af8 --- /dev/null +++ b/previews/PR111/assets/index.md.BXBSKqxG.lean.js @@ -0,0 +1 @@ +import{_ as e,c as t,o as a}from"./chunks/framework.CnUH-vym.js";const m=JSON.parse('{"title":"","description":"","frontmatter":{"layout":"home","hero":{"name":"Tyler.jl","text":"Maps","tagline":"Download Map Tiles on Demand","image":{"src":"/logo.png","alt":"Tyler"},"actions":[{"theme":"brand","text":"Getting Started","link":"/getting_started"},{"theme":"alt","text":"View on Github","link":"https://github.com/MakieOrg/Tyler.jl"},{"theme":"brand","text":"Become a Sponsor","link":"https://makie.org/support/"}]},"features":[{"title":"TileProviders","details":"A large collection of tile providers."},{"title":"Makie integration","details":"Well integrated with the Makie ecosystem."}]},"headers":[],"relativePath":"index.md","filePath":"index.md","lastUpdated":null}'),i={name:"index.md"};function n(o,r,l,s,d,c){return a(),t("div")}const h=e(i,[["render",n]]);export{m as __pageData,h as default}; 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Using Interpolation On The Fly ​

INFO

Sine waves

julia
using Tyler, GLMakie
+using Interpolations: interpolate, Gridded, Linear
+
+f(lon,lat)=cosd(16*lon)+sind(16*lat)
+
+f_in_0_1_range(lon,lat)=0.5+0.25*f(lon,lat)
+
+nodes=(-180.0:180.0, -90.0:90.0)
+
+array=[f(lon,lat) for lon in nodes[1], lat in nodes[2]]
+array=(array.-minimum(array))./(maximum(array)-minimum(array))
+
+itp = interpolate(nodes, array, Gridded(Linear()))
+cols=Makie.to_colormap(:viridis)
+
+col(i)=RGBAf(Makie.interpolated_getindex(cols,i))
+fun(x,y) = col(itp(x,y))
+
+options = Dict(:min_zoom => 1,:max_zoom => 19)
+
+p1 = Tyler.Interpolator(f_in_0_1_range; options)
+p2 = Tyler.Interpolator(fun; options)
+
+b = Rect2f(-20.0, -20.0, 40.0, 40.0)
+m = Tyler.Map(b, provider=p1)

TIP

Try b = Rect2f(-180.0, -89.9, 360.0, 179.8)

INFO

interpolated_getindex requires input i to be in the 0-1 range.

',6)]))}const F=i(l,[["render",t]]);export{y as __pageData,F as default}; diff --git a/previews/PR111/assets/interpolation.md.Bb1axPxP.lean.js b/previews/PR111/assets/interpolation.md.Bb1axPxP.lean.js new file mode 100644 index 00000000..ebcec3c0 --- /dev/null +++ b/previews/PR111/assets/interpolation.md.Bb1axPxP.lean.js @@ -0,0 +1,25 @@ +import{_ as i,c as a,a5 as n,o as h}from"./chunks/framework.CnUH-vym.js";const k="/Tyler.jl/previews/PR111/assets/zjgwwcz.BJUw9D1D.png",y=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"interpolation.md","filePath":"interpolation.md","lastUpdated":null}'),l={name:"interpolation.md"};function t(p,s,e,E,r,d){return h(),a("div",null,s[0]||(s[0]=[n(`

Using Interpolation On The Fly ​

INFO

Sine waves

julia
using Tyler, GLMakie
+using Interpolations: interpolate, Gridded, Linear
+
+f(lon,lat)=cosd(16*lon)+sind(16*lat)
+
+f_in_0_1_range(lon,lat)=0.5+0.25*f(lon,lat)
+
+nodes=(-180.0:180.0, -90.0:90.0)
+
+array=[f(lon,lat) for lon in nodes[1], lat in nodes[2]]
+array=(array.-minimum(array))./(maximum(array)-minimum(array))
+
+itp = interpolate(nodes, array, Gridded(Linear()))
+cols=Makie.to_colormap(:viridis)
+
+col(i)=RGBAf(Makie.interpolated_getindex(cols,i))
+fun(x,y) = col(itp(x,y))
+
+options = Dict(:min_zoom => 1,:max_zoom => 19)
+
+p1 = Tyler.Interpolator(f_in_0_1_range; options)
+p2 = Tyler.Interpolator(fun; options)
+
+b = Rect2f(-20.0, -20.0, 40.0, 40.0)
+m = Tyler.Map(b, provider=p1)

TIP

Try b = Rect2f(-180.0, -89.9, 360.0, 179.8)

INFO

interpolated_getindex requires input i to be in the 0-1 range.

',6)]))}const F=i(l,[["render",t]]);export{y as __pageData,F as default}; diff --git a/previews/PR111/assets/jtqezep.DTp9PEt0.png b/previews/PR111/assets/jtqezep.DTp9PEt0.png new file mode 100644 index 00000000..02aa759e Binary files /dev/null and b/previews/PR111/assets/jtqezep.DTp9PEt0.png differ diff --git a/previews/PR111/assets/map-3d.md.BJWlq00L.js b/previews/PR111/assets/map-3d.md.BJWlq00L.js new file mode 100644 index 00000000..603dd899 --- /dev/null +++ b/previews/PR111/assets/map-3d.md.BJWlq00L.js @@ -0,0 +1,76 @@ +import{_ as i,c as a,a5 as h,o as k}from"./chunks/framework.CnUH-vym.js";const n="/Tyler.jl/previews/PR111/assets/dbpvcgs.CczpOWO_.png",l="/Tyler.jl/previews/PR111/assets/gailkex.GRz_H30p.png",t="/Tyler.jl/previews/PR111/assets/nypuldv.Gq36V23f.png",p="/Tyler.jl/previews/PR111/assets/jtqezep.DTp9PEt0.png",e="/Tyler.jl/previews/PR111/assets/alpine.CXfd9LFs.png",E="/Tyler.jl/previews/PR111/assets/pointclouds.CWR3APBN.png",D=JSON.parse('{"title":"Map3D","description":"","frontmatter":{},"headers":[],"relativePath":"map-3d.md","filePath":"map-3d.md","lastUpdated":null}'),r={name:"map-3d.md"};function d(g,s,y,F,o,C){return k(),a("div",null,s[0]||(s[0]=[h(`

Map3D ​

Tyler also offers to view tiles in 3D, and offers a simple Elevation and PointCloud provider.

julia
using Tyler, GLMakie
+using Tyler: ElevationProvider
+
+lat, lon = (47.087441, 13.377214)
+delta = 0.3
+ext = Rect2f(lon-delta/2, lat-delta/2, delta, delta)
+m = Tyler.Map3D(ext; provider=ElevationProvider())

Elevation with PlotConfig ​

With PlotConfig one can change the way tiles are plotted. The it has a preprocess + postprocess function and allows to pass any plot attribute to the tile. These attributes are global and will be passed to every tile plot.

julia
lat, lon = (47.087441, 13.377214)
+delta = 0.3
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+cfg = Tyler.PlotConfig(
+    preprocess=pc -> map(p -> p .* 2, pc),
+    shading=FastShading, colorrange=(2000, 5000),
+    colormap=:alpine
+)
+m = Tyler.Map3D(ext; provider=ElevationProvider(nothing), plot_config=cfg)

PointClouds ​

The PointCloud provider downloads from geotiles.citg.tudelft, which spans most of the netherlands.

julia
lat, lon = (52.40459835, 4.84763329)
+delta = 0.03
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+provider = Tyler.GeoTilePointCloudProvider()
+m = Tyler.Map3D(ext; provider=provider)

Pointclouds with PlotConfig + Meshscatter ​

There is also a MeshScatter plot config, which can be used to switch the point cloud plotting from scatter to meshscatter. This looks better, at a significant slow down.

julia
lat, lon = (52.40459835, 4.84763329)
+delta = 0.008
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+provider = Tyler.GeoTilePointCloudProvider()
+image = ElevationProvider(nothing)
+cfg = Tyler.MeshScatterPlotconfig()
+m1 = Tyler.Map3D(ext; provider=provider, plot_config=cfg)
+cfg = Tyler.PlotConfig(preprocess=pc -> map(p -> p .* 2, pc), shading=FastShading, colormap=:alpine)
+m2 = Tyler.Map3D(m1; provider=image, plot_config=cfg)
+m1

Using RPRMakie ​

julia
using RPRMakie, FileIO
+function render_rpr(m, name, radiance=1000000)
+    wait(m)
+    ax = m.axis
+    cam = ax.scene.camera_controls
+    lightpos = Vec3f(cam.lookat[][1], cam.lookat[][2], cam.eyeposition[][3])
+    lights = [
+        EnvironmentLight(1.5, load(RPR.assetpath("studio026.exr"))),
+        PointLight(lightpos, RGBf(radiance, radiance * 0.9, radiance * 0.9))
+    ]
+    empty!(ax.scene.lights)
+    append!(ax.scene.lights, lights)
+    save("$(name).png", ax.scene; plugin=RPR.Northstar, backend=RPRMakie, iterations=2000)
+end
+function plastic_material()
+    return (type=:Uber, reflection_color=Vec4f(1),
+        reflection_weight=Vec4f(1), reflection_roughness=Vec4f(0.1),
+        reflection_anisotropy=Vec4f(0), reflection_anisotropy_rotation=Vec4f(0),
+        reflection_metalness=Vec4f(0), reflection_ior=Vec4f(1.4), refraction_weight=Vec4f(0),
+        coating_weight=Vec4f(0), sheen_weight=Vec4f(0), emission_weight=Vec3f(0),
+        transparency=Vec4f(0), reflection_mode=UInt(RPR.RPR_UBER_MATERIAL_IOR_MODE_PBR),
+        emission_mode=UInt(RPR.RPR_UBER_MATERIAL_EMISSION_MODE_SINGLESIDED),
+        coating_mode=UInt(RPR.RPR_UBER_MATERIAL_IOR_MODE_PBR), sss_multiscatter=true,
+        refraction_thin_surface=true)
+end

Elevation with RPRMakie ​

julia
lat, lon = (47.087441, 13.377214)
+delta = 0.5
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+cfg = Tyler.PlotConfig(
+    preprocess=pc -> map(p -> p .* 2, pc),
+    shading=FastShading,
+    material=plastic_material(),
+    colormap=:alpine
+)
+m = Tyler.Map3D(ext;
+    provider=ElevationProvider(nothing),
+    plot_config=cfg,
+    max_plots=5
+)
+render_rpr(m, "alpine", 10000000)

PointClouds with RPRMakie ​

julia
lat, lon = (52.40459835229174, 4.84763329882317)
+delta = 0.005
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+provider = Tyler.GeoTilePointCloudProvider()
+mat = (type=:Microfacet, roughness=0.2, ior=1.390)
+cfg = Tyler.MeshScatterPlotconfig(material=mat, markersize=4)
+m = Tyler.Map3D(ext; provider=provider, plot_config=cfg, max_plots=3, size=(2000, 2000))
+cfg = Tyler.PlotConfig(material=mat, colormap=:Blues)
+m2 = Tyler.Map3D(m; provider=ElevationProvider(nothing), plot_config=cfg, max_plots=5)
+render_rpr(m, "pointclouds")
+cp(Tyler)

',24)]))}const A=i(r,[["render",d]]);export{D as __pageData,A as default}; diff --git a/previews/PR111/assets/map-3d.md.BJWlq00L.lean.js b/previews/PR111/assets/map-3d.md.BJWlq00L.lean.js new file mode 100644 index 00000000..603dd899 --- /dev/null +++ b/previews/PR111/assets/map-3d.md.BJWlq00L.lean.js @@ -0,0 +1,76 @@ +import{_ as i,c as a,a5 as h,o as k}from"./chunks/framework.CnUH-vym.js";const n="/Tyler.jl/previews/PR111/assets/dbpvcgs.CczpOWO_.png",l="/Tyler.jl/previews/PR111/assets/gailkex.GRz_H30p.png",t="/Tyler.jl/previews/PR111/assets/nypuldv.Gq36V23f.png",p="/Tyler.jl/previews/PR111/assets/jtqezep.DTp9PEt0.png",e="/Tyler.jl/previews/PR111/assets/alpine.CXfd9LFs.png",E="/Tyler.jl/previews/PR111/assets/pointclouds.CWR3APBN.png",D=JSON.parse('{"title":"Map3D","description":"","frontmatter":{},"headers":[],"relativePath":"map-3d.md","filePath":"map-3d.md","lastUpdated":null}'),r={name:"map-3d.md"};function d(g,s,y,F,o,C){return k(),a("div",null,s[0]||(s[0]=[h(`

Map3D ​

Tyler also offers to view tiles in 3D, and offers a simple Elevation and PointCloud provider.

julia
using Tyler, GLMakie
+using Tyler: ElevationProvider
+
+lat, lon = (47.087441, 13.377214)
+delta = 0.3
+ext = Rect2f(lon-delta/2, lat-delta/2, delta, delta)
+m = Tyler.Map3D(ext; provider=ElevationProvider())

Elevation with PlotConfig ​

With PlotConfig one can change the way tiles are plotted. The it has a preprocess + postprocess function and allows to pass any plot attribute to the tile. These attributes are global and will be passed to every tile plot.

julia
lat, lon = (47.087441, 13.377214)
+delta = 0.3
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+cfg = Tyler.PlotConfig(
+    preprocess=pc -> map(p -> p .* 2, pc),
+    shading=FastShading, colorrange=(2000, 5000),
+    colormap=:alpine
+)
+m = Tyler.Map3D(ext; provider=ElevationProvider(nothing), plot_config=cfg)

PointClouds ​

The PointCloud provider downloads from geotiles.citg.tudelft, which spans most of the netherlands.

julia
lat, lon = (52.40459835, 4.84763329)
+delta = 0.03
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+provider = Tyler.GeoTilePointCloudProvider()
+m = Tyler.Map3D(ext; provider=provider)

Pointclouds with PlotConfig + Meshscatter ​

There is also a MeshScatter plot config, which can be used to switch the point cloud plotting from scatter to meshscatter. This looks better, at a significant slow down.

julia
lat, lon = (52.40459835, 4.84763329)
+delta = 0.008
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+provider = Tyler.GeoTilePointCloudProvider()
+image = ElevationProvider(nothing)
+cfg = Tyler.MeshScatterPlotconfig()
+m1 = Tyler.Map3D(ext; provider=provider, plot_config=cfg)
+cfg = Tyler.PlotConfig(preprocess=pc -> map(p -> p .* 2, pc), shading=FastShading, colormap=:alpine)
+m2 = Tyler.Map3D(m1; provider=image, plot_config=cfg)
+m1

Using RPRMakie ​

julia
using RPRMakie, FileIO
+function render_rpr(m, name, radiance=1000000)
+    wait(m)
+    ax = m.axis
+    cam = ax.scene.camera_controls
+    lightpos = Vec3f(cam.lookat[][1], cam.lookat[][2], cam.eyeposition[][3])
+    lights = [
+        EnvironmentLight(1.5, load(RPR.assetpath("studio026.exr"))),
+        PointLight(lightpos, RGBf(radiance, radiance * 0.9, radiance * 0.9))
+    ]
+    empty!(ax.scene.lights)
+    append!(ax.scene.lights, lights)
+    save("$(name).png", ax.scene; plugin=RPR.Northstar, backend=RPRMakie, iterations=2000)
+end
+function plastic_material()
+    return (type=:Uber, reflection_color=Vec4f(1),
+        reflection_weight=Vec4f(1), reflection_roughness=Vec4f(0.1),
+        reflection_anisotropy=Vec4f(0), reflection_anisotropy_rotation=Vec4f(0),
+        reflection_metalness=Vec4f(0), reflection_ior=Vec4f(1.4), refraction_weight=Vec4f(0),
+        coating_weight=Vec4f(0), sheen_weight=Vec4f(0), emission_weight=Vec3f(0),
+        transparency=Vec4f(0), reflection_mode=UInt(RPR.RPR_UBER_MATERIAL_IOR_MODE_PBR),
+        emission_mode=UInt(RPR.RPR_UBER_MATERIAL_EMISSION_MODE_SINGLESIDED),
+        coating_mode=UInt(RPR.RPR_UBER_MATERIAL_IOR_MODE_PBR), sss_multiscatter=true,
+        refraction_thin_surface=true)
+end

Elevation with RPRMakie ​

julia
lat, lon = (47.087441, 13.377214)
+delta = 0.5
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+cfg = Tyler.PlotConfig(
+    preprocess=pc -> map(p -> p .* 2, pc),
+    shading=FastShading,
+    material=plastic_material(),
+    colormap=:alpine
+)
+m = Tyler.Map3D(ext;
+    provider=ElevationProvider(nothing),
+    plot_config=cfg,
+    max_plots=5
+)
+render_rpr(m, "alpine", 10000000)

PointClouds with RPRMakie ​

julia
lat, lon = (52.40459835229174, 4.84763329882317)
+delta = 0.005
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+provider = Tyler.GeoTilePointCloudProvider()
+mat = (type=:Microfacet, roughness=0.2, ior=1.390)
+cfg = Tyler.MeshScatterPlotconfig(material=mat, markersize=4)
+m = Tyler.Map3D(ext; provider=provider, plot_config=cfg, max_plots=3, size=(2000, 2000))
+cfg = Tyler.PlotConfig(material=mat, colormap=:Blues)
+m2 = Tyler.Map3D(m; provider=ElevationProvider(nothing), plot_config=cfg, max_plots=5)
+render_rpr(m, "pointclouds")
+cp(Tyler)

',24)]))}const A=i(r,[["render",d]]);export{D as __pageData,A as default}; diff --git a/previews/PR111/assets/mriwyrp.B1A_CUPt.png b/previews/PR111/assets/mriwyrp.B1A_CUPt.png new file mode 100644 index 00000000..2346f79c Binary files /dev/null and b/previews/PR111/assets/mriwyrp.B1A_CUPt.png differ diff --git a/previews/PR111/assets/mywgbqm.BUSHWvNr.png b/previews/PR111/assets/mywgbqm.BUSHWvNr.png new file mode 100644 index 00000000..481a5c98 Binary files /dev/null and b/previews/PR111/assets/mywgbqm.BUSHWvNr.png differ diff --git a/previews/PR111/assets/nypuldv.Gq36V23f.png b/previews/PR111/assets/nypuldv.Gq36V23f.png new file mode 100644 index 00000000..e5caec11 Binary files /dev/null and b/previews/PR111/assets/nypuldv.Gq36V23f.png differ diff --git a/previews/PR111/assets/omgnmij.d7P5S1c4.png b/previews/PR111/assets/omgnmij.d7P5S1c4.png new file mode 100644 index 00000000..f44d56e6 Binary files /dev/null and b/previews/PR111/assets/omgnmij.d7P5S1c4.png differ diff --git a/previews/PR111/assets/ooxitic.CssOlB9z.png b/previews/PR111/assets/ooxitic.CssOlB9z.png new file mode 100644 index 00000000..8e51921a Binary files /dev/null and b/previews/PR111/assets/ooxitic.CssOlB9z.png differ diff --git a/previews/PR111/assets/osmmakie.md.FALAiTes.js b/previews/PR111/assets/osmmakie.md.FALAiTes.js new file mode 100644 index 00000000..d2d1f6ef --- /dev/null +++ b/previews/PR111/assets/osmmakie.md.FALAiTes.js @@ -0,0 +1,36 @@ +import{_ as i,c as a,a5 as n,o as h}from"./chunks/framework.CnUH-vym.js";const k="/Tyler.jl/previews/PR111/assets/flzndon.4wR94hFF.png",y=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"osmmakie.md","filePath":"osmmakie.md","lastUpdated":null}'),l={name:"osmmakie.md"};function p(t,s,e,E,r,d){return h(),a("div",null,s[0]||(s[0]=[n(`

OpenStreetMap data (OSM) ​

In this example, we combine OpenStreetMap data, loading some roads and buildings and plotting them on top of a Tyler map.

julia
using Tyler, Tyler.TileProviders
+using GLMakie, OSMMakie, LightOSM
+
+area = (
+    minlat = 51.50, minlon = -0.0921, # bottom left corner
+    maxlat = 51.52, maxlon = -0.0662 # top right corner
+)
+
+download_osm_network(:bbox; # rectangular area
+    area..., # splat previously defined area boundaries
+    network_type=:drive, # download motorways
+    save_to_file_location="london_drive.json"
+);
+
+osm = graph_from_file("london_drive.json";
+    graph_type=:light, # SimpleDiGraph
+    weight_type=:distance
+)
+
+download_osm_buildings(:bbox;
+    area...,
+    metadata=true,
+    download_format=:osm,
+    save_to_file_location="london_buildings.osm"
+);
+
+# load as Buildings Dict
+buildings = buildings_from_file("london_buildings.osm");
+# Google + OSM
+provider = TileProviders.Google(:satelite)
+london = Rect2f(-0.0921, 51.5, 0.04, 0.025)
+m = Tyler.Map(london; provider=provider, crs=Tyler.wgs84)
+m.axis.aspect = map_aspect(area.minlat, area.maxlat)
+p = osmplot!(m.axis, osm; buildings)
+# DataInspector(m.axis) # this is broken/slow
+m

',4)]))}const o=i(l,[["render",p]]);export{y as __pageData,o as default}; diff --git a/previews/PR111/assets/osmmakie.md.FALAiTes.lean.js b/previews/PR111/assets/osmmakie.md.FALAiTes.lean.js new file mode 100644 index 00000000..d2d1f6ef --- /dev/null +++ b/previews/PR111/assets/osmmakie.md.FALAiTes.lean.js @@ -0,0 +1,36 @@ +import{_ as i,c as a,a5 as n,o as h}from"./chunks/framework.CnUH-vym.js";const k="/Tyler.jl/previews/PR111/assets/flzndon.4wR94hFF.png",y=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"osmmakie.md","filePath":"osmmakie.md","lastUpdated":null}'),l={name:"osmmakie.md"};function p(t,s,e,E,r,d){return h(),a("div",null,s[0]||(s[0]=[n(`

OpenStreetMap data (OSM) ​

In this example, we combine OpenStreetMap data, loading some roads and buildings and plotting them on top of a Tyler map.

julia
using Tyler, Tyler.TileProviders
+using GLMakie, OSMMakie, LightOSM
+
+area = (
+    minlat = 51.50, minlon = -0.0921, # bottom left corner
+    maxlat = 51.52, maxlon = -0.0662 # top right corner
+)
+
+download_osm_network(:bbox; # rectangular area
+    area..., # splat previously defined area boundaries
+    network_type=:drive, # download motorways
+    save_to_file_location="london_drive.json"
+);
+
+osm = graph_from_file("london_drive.json";
+    graph_type=:light, # SimpleDiGraph
+    weight_type=:distance
+)
+
+download_osm_buildings(:bbox;
+    area...,
+    metadata=true,
+    download_format=:osm,
+    save_to_file_location="london_buildings.osm"
+);
+
+# load as Buildings Dict
+buildings = buildings_from_file("london_buildings.osm");
+# Google + OSM
+provider = TileProviders.Google(:satelite)
+london = Rect2f(-0.0921, 51.5, 0.04, 0.025)
+m = Tyler.Map(london; provider=provider, crs=Tyler.wgs84)
+m.axis.aspect = map_aspect(area.minlat, area.maxlat)
+p = osmplot!(m.axis, osm; buildings)
+# DataInspector(m.axis) # this is broken/slow
+m

',4)]))}const o=i(l,[["render",p]]);export{y as __pageData,o as default}; diff --git a/previews/PR111/assets/pointclouds.CWR3APBN.png b/previews/PR111/assets/pointclouds.CWR3APBN.png new file mode 100644 index 00000000..d435249e Binary files /dev/null and b/previews/PR111/assets/pointclouds.CWR3APBN.png differ diff --git a/previews/PR111/assets/points_poly_text.md.bXzzx-R9.js b/previews/PR111/assets/points_poly_text.md.bXzzx-R9.js new file mode 100644 index 00000000..ffd1b752 --- /dev/null +++ b/previews/PR111/assets/points_poly_text.md.bXzzx-R9.js @@ -0,0 +1,30 @@ +import{_ as i,c as a,a5 as t,o as n}from"./chunks/framework.CnUH-vym.js";const h="/Tyler.jl/previews/PR111/assets/mywgbqm.BUSHWvNr.png",p="/Tyler.jl/previews/PR111/assets/ooxitic.CssOlB9z.png",o=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"points_poly_text.md","filePath":"points_poly_text.md","lastUpdated":null}'),l={name:"points_poly_text.md"};function k(e,s,E,d,r,g){return n(),a("div",null,s[0]||(s[0]=[t(`

Add points, polygons and text to a map ​

Load packages

julia
using Tyler, GLMakie
+using Tyler.TileProviders
+using Tyler.MapTiles
+using Tyler.Extents

select a map provider

julia
provider = TileProviders.Esri(:WorldImagery)
TileProviders.Provider("https://server.arcgisonline.com/ArcGIS/rest/services/{variant}/MapServer/tile/{z}/{y}/{x}", Dict{Symbol, Any}(:url => "https://server.arcgisonline.com/ArcGIS/rest/services/{variant}/MapServer/tile/{z}/{y}/{x}", :attribution => "Tiles (C) Esri -- Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community", :variant => "World_Imagery", :name => "Esri.WorldImagery", :html_attribution => "Tiles &copy; Esri &mdash; Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community"))

define a point to plot on the map

julia
# point location to add to map
+lat = 34.2013;
+lon = -118.1714;
-118.1714

convert to point in web_mercator

julia
pts = Point2f(MapTiles.project((lon,lat), MapTiles.wgs84, MapTiles.web_mercator))
2-element GeometryBasics.Point{2, Float32} with indices SOneTo(2):
+ -1.315478f7
+  4.0558638f6

set how much area to map in degrees and define an Extent for display in web_mercator

julia
delta = 1
+extent = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta);
GeometryBasics.HyperRectangle{2, Float32}(Float32[-118.6714, 33.7013], Float32[1.0, 1.0])

show map

julia
m = Tyler.Map(extent; provider, size=(1000, 600))

now plot a point, polygon and text on the map

julia
objscatter = scatter!(m.axis, pts; color = :red,
+    marker = '⭐', markersize = 50)
+# hide ticks, grid and lables
+hidedecorations!(m.axis)
+# hide frames
+hidespines!(m.axis)
+# Plot a plygon on the map
+p1 = (lon-delta/8, lat-delta/8)
+p2 = (lon-delta/8, lat+delta/8)
+p3 = (lon+delta/8, lat+delta/8)
+p4 = (lon+delta/8, lat-delta/8)
+
+polyg = MapTiles.project.([p1, p2, p3, p4], Ref(MapTiles.wgs84), Ref(MapTiles.web_mercator))
+polyg = Point2f.(polyg)
+poly!(polyg; color = :transparent, strokecolor = :black, strokewidth = 5)
+
+# Add text
+pts2 = Point2f(MapTiles.project((lon,lat-delta/6), MapTiles.wgs84, MapTiles.web_mercator))
+text!(pts2, text = "Basic Example"; fontsize = 30,
+    color = :darkblue, align = (:center, :center)
+    )
+m

',21)]))}const c=i(l,[["render",k]]);export{o as __pageData,c as default}; diff --git a/previews/PR111/assets/points_poly_text.md.bXzzx-R9.lean.js b/previews/PR111/assets/points_poly_text.md.bXzzx-R9.lean.js new file mode 100644 index 00000000..ffd1b752 --- /dev/null +++ b/previews/PR111/assets/points_poly_text.md.bXzzx-R9.lean.js @@ -0,0 +1,30 @@ +import{_ as i,c as a,a5 as t,o as n}from"./chunks/framework.CnUH-vym.js";const h="/Tyler.jl/previews/PR111/assets/mywgbqm.BUSHWvNr.png",p="/Tyler.jl/previews/PR111/assets/ooxitic.CssOlB9z.png",o=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"points_poly_text.md","filePath":"points_poly_text.md","lastUpdated":null}'),l={name:"points_poly_text.md"};function k(e,s,E,d,r,g){return n(),a("div",null,s[0]||(s[0]=[t(`

Add points, polygons and text to a map ​

Load packages

julia
using Tyler, GLMakie
+using Tyler.TileProviders
+using Tyler.MapTiles
+using Tyler.Extents

select a map provider

julia
provider = TileProviders.Esri(:WorldImagery)
TileProviders.Provider("https://server.arcgisonline.com/ArcGIS/rest/services/{variant}/MapServer/tile/{z}/{y}/{x}", Dict{Symbol, Any}(:url => "https://server.arcgisonline.com/ArcGIS/rest/services/{variant}/MapServer/tile/{z}/{y}/{x}", :attribution => "Tiles (C) Esri -- Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community", :variant => "World_Imagery", :name => "Esri.WorldImagery", :html_attribution => "Tiles &copy; Esri &mdash; Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community"))

define a point to plot on the map

julia
# point location to add to map
+lat = 34.2013;
+lon = -118.1714;
-118.1714

convert to point in web_mercator

julia
pts = Point2f(MapTiles.project((lon,lat), MapTiles.wgs84, MapTiles.web_mercator))
2-element GeometryBasics.Point{2, Float32} with indices SOneTo(2):
+ -1.315478f7
+  4.0558638f6

set how much area to map in degrees and define an Extent for display in web_mercator

julia
delta = 1
+extent = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta);
GeometryBasics.HyperRectangle{2, Float32}(Float32[-118.6714, 33.7013], Float32[1.0, 1.0])

show map

julia
m = Tyler.Map(extent; provider, size=(1000, 600))

now plot a point, polygon and text on the map

julia
objscatter = scatter!(m.axis, pts; color = :red,
+    marker = '⭐', markersize = 50)
+# hide ticks, grid and lables
+hidedecorations!(m.axis)
+# hide frames
+hidespines!(m.axis)
+# Plot a plygon on the map
+p1 = (lon-delta/8, lat-delta/8)
+p2 = (lon-delta/8, lat+delta/8)
+p3 = (lon+delta/8, lat+delta/8)
+p4 = (lon+delta/8, lat-delta/8)
+
+polyg = MapTiles.project.([p1, p2, p3, p4], Ref(MapTiles.wgs84), Ref(MapTiles.web_mercator))
+polyg = Point2f.(polyg)
+poly!(polyg; color = :transparent, strokecolor = :black, strokewidth = 5)
+
+# Add text
+pts2 = Point2f(MapTiles.project((lon,lat-delta/6), MapTiles.wgs84, MapTiles.web_mercator))
+text!(pts2, text = "Basic Example"; fontsize = 30,
+    color = :darkblue, align = (:center, :center)
+    )
+m

',21)]))}const c=i(l,[["render",k]]);export{o as __pageData,c as default}; diff --git a/previews/PR111/assets/style.CmCD8HRW.css b/previews/PR111/assets/style.CmCD8HRW.css new file mode 100644 index 00000000..12cb668e --- /dev/null +++ b/previews/PR111/assets/style.CmCD8HRW.css @@ -0,0 +1 @@ +@import"https://fonts.googleapis.com/css?family=Space+Mono:regular,italic,700,700italic";@import"https://fonts.googleapis.com/css?family=Space+Grotesk:regular,italic,700,700italic";@font-face{font-family:Inter;font-style:normal;font-weight:100 900;font-display:swap;src:url(/Tyler.jl/previews/PR111/assets/inter-roman-cyrillic-ext.BBPuwvHQ.woff2) format("woff2");unicode-range:U+0460-052F,U+1C80-1C88,U+20B4,U+2DE0-2DFF,U+A640-A69F,U+FE2E-FE2F}@font-face{font-family:Inter;font-style:normal;font-weight:100 900;font-display:swap;src:url(/Tyler.jl/previews/PR111/assets/inter-roman-cyrillic.C5lxZ8CY.woff2) 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Whale shark's trajectory ​

The full stack of Makie's ecosystem works.

Load packages

julia
using Tyler, GLMakie
+using Tyler.TileProviders
+using Tyler.MapTiles
+using CSV, DataFrames
+using DataStructures: CircularBuffer
+using Downloads: download

Here, we will be using points that originally are in longitude and latitute, hence a function to transform those into the web_mercator projection is defined,

julia
function to_web_mercator(lo,lat)
+    return Point2f(MapTiles.project((lo,lat), MapTiles.wgs84, MapTiles.web_mercator))
+end

and downloading and preparing the data is done next

julia
url = "https://raw.githubusercontent.com/MakieOrg/Tyler.jl/master/docs/src/assets/data/whale_shark_128786.csv"
+d = download(url)
+whale = CSV.read(d, DataFrame)
+lon = whale[!, :lon]
+lat = whale[!, :lat]
+steps = size(lon,1)
+points = to_web_mercator.(lon,lat)
+
+lomn, lomx = extrema(lon)
+lamn, lamx = extrema(lat)
+δlon = abs(lomn - lomx)
+δlat = abs(lamn - lamx)

INFO

Whale shark movements in Gulf of Mexico.

  • Contact person: Eric Hoffmayer

Then a provider and the initial map are set

julia
provider = TileProviders.NASAGIBS(:ViirsEarthAtNight2012)
+
+set_theme!(theme_dark())
+fig = Figure(; size = (1200, 600))
+ax = Axis(fig[1,1])
+m = Tyler.Map(Rect2f(Rect2f(lomn - δlon/2, lamn-δlat/2, 2δlon, 2δlat));
+    provider, figure=fig, axis=ax)

Initial point ​

julia
nt = 30
+trail = CircularBuffer{Point2f}(nt)
+fill!(trail, points[1]) # add correct values to the circular buffer
+trail = Observable(trail) # make it an observable
+whale = Observable(points[1])
+
+c = to_color(:orangered)
+trailcolor = [RGBAf(c.r, c.g, c.b, (i/nt)^2.5) for i in 1:nt] # fading tail
+
+objline = lines!(ax, trail; color = trailcolor, linewidth=3)
+objscatter = scatter!(ax, whale; markersize = 15, color = :orangered,
+    strokecolor=:white, strokewidth=1.5)
+hidedecorations!(ax)
+hidespines!(ax)
+m

Animated trajectory ​

The animation is done by updating the Observable values

julia
record(fig, "whale_shark_128786.mp4") do io
+    for i in 2:steps
+        push!(trail[], points[i])
+        whale[] = points[i]
+        trail[] = trail[]
+        recordframe!(io)  # record a new frame
+    end
+end
+set_theme!() # reset theme (default)

',19)]))}const c=i(p,[["render",e]]);export{F as __pageData,c as default}; diff --git a/previews/PR111/assets/whale_shark.md.2tpXRO1I.lean.js b/previews/PR111/assets/whale_shark.md.2tpXRO1I.lean.js new file mode 100644 index 00000000..7da4eb47 --- /dev/null +++ b/previews/PR111/assets/whale_shark.md.2tpXRO1I.lean.js @@ -0,0 +1,47 @@ +import{_ as i,c as a,a5 as h,o as n}from"./chunks/framework.CnUH-vym.js";const l="/Tyler.jl/previews/PR111/assets/uqgfueh.DTm3NE0X.png",k="/Tyler.jl/previews/PR111/assets/mriwyrp.B1A_CUPt.png",t="/Tyler.jl/previews/PR111/assets/whale_shark_128786.byuaqxsL.mp4",F=JSON.parse('{"title":"Whale shark's trajectory","description":"","frontmatter":{},"headers":[],"relativePath":"whale_shark.md","filePath":"whale_shark.md","lastUpdated":null}'),p={name:"whale_shark.md"};function e(E,s,r,d,g,y){return n(),a("div",null,s[0]||(s[0]=[h(`

Whale shark's trajectory ​

The full stack of Makie's ecosystem works.

Load packages

julia
using Tyler, GLMakie
+using Tyler.TileProviders
+using Tyler.MapTiles
+using CSV, DataFrames
+using DataStructures: CircularBuffer
+using Downloads: download

Here, we will be using points that originally are in longitude and latitute, hence a function to transform those into the web_mercator projection is defined,

julia
function to_web_mercator(lo,lat)
+    return Point2f(MapTiles.project((lo,lat), MapTiles.wgs84, MapTiles.web_mercator))
+end

and downloading and preparing the data is done next

julia
url = "https://raw.githubusercontent.com/MakieOrg/Tyler.jl/master/docs/src/assets/data/whale_shark_128786.csv"
+d = download(url)
+whale = CSV.read(d, DataFrame)
+lon = whale[!, :lon]
+lat = whale[!, :lat]
+steps = size(lon,1)
+points = to_web_mercator.(lon,lat)
+
+lomn, lomx = extrema(lon)
+lamn, lamx = extrema(lat)
+δlon = abs(lomn - lomx)
+δlat = abs(lamn - lamx)

INFO

Whale shark movements in Gulf of Mexico.

  • Contact person: Eric Hoffmayer

Then a provider and the initial map are set

julia
provider = TileProviders.NASAGIBS(:ViirsEarthAtNight2012)
+
+set_theme!(theme_dark())
+fig = Figure(; size = (1200, 600))
+ax = Axis(fig[1,1])
+m = Tyler.Map(Rect2f(Rect2f(lomn - δlon/2, lamn-δlat/2, 2δlon, 2δlat));
+    provider, figure=fig, axis=ax)

Initial point ​

julia
nt = 30
+trail = CircularBuffer{Point2f}(nt)
+fill!(trail, points[1]) # add correct values to the circular buffer
+trail = Observable(trail) # make it an observable
+whale = Observable(points[1])
+
+c = to_color(:orangered)
+trailcolor = [RGBAf(c.r, c.g, c.b, (i/nt)^2.5) for i in 1:nt] # fading tail
+
+objline = lines!(ax, trail; color = trailcolor, linewidth=3)
+objscatter = scatter!(ax, whale; markersize = 15, color = :orangered,
+    strokecolor=:white, strokewidth=1.5)
+hidedecorations!(ax)
+hidespines!(ax)
+m

Animated trajectory ​

The animation is done by updating the Observable values

julia
record(fig, "whale_shark_128786.mp4") do io
+    for i in 2:steps
+        push!(trail[], points[i])
+        whale[] = points[i]
+        trail[] = trail[]
+        recordframe!(io)  # record a new frame
+    end
+end
+set_theme!() # reset theme (default)

',19)]))}const c=i(p,[["render",e]]);export{F as __pageData,c as default}; diff --git a/previews/PR111/assets/whale_shark_128786.byuaqxsL.mp4 b/previews/PR111/assets/whale_shark_128786.byuaqxsL.mp4 new file mode 100644 index 00000000..8d10d514 Binary files /dev/null and b/previews/PR111/assets/whale_shark_128786.byuaqxsL.mp4 differ diff --git a/previews/PR111/assets/zjgwwcz.BJUw9D1D.png b/previews/PR111/assets/zjgwwcz.BJUw9D1D.png new file mode 100644 index 00000000..191f5a49 Binary files /dev/null and b/previews/PR111/assets/zjgwwcz.BJUw9D1D.png differ diff --git a/previews/PR111/favicon.png b/previews/PR111/favicon.png new file mode 100644 index 00000000..529a6281 Binary files /dev/null and b/previews/PR111/favicon.png differ diff --git a/previews/PR111/getting_started.html b/previews/PR111/getting_started.html new file mode 100644 index 00000000..53f24034 --- /dev/null +++ b/previews/PR111/getting_started.html @@ -0,0 +1,73 @@ + + + + + + Tyler + + + + + + + + + + + + + + + +
Tyler

Appearance

Tyler.jl ​

A package for downloading map tiles on demand from different data source providers.

This package is currently in the initial phase of development. It needs support. Sponsorships are welcome!

Installation ​

In the Julia REPL type:

julia
] add Tyler

The ] character starts the Julia package manager. Hit backspace key to return to Julia prompt.

Or, explicitly use Pkg

julia
using Pkg
+Pkg.add(["Tyler.jl"])

Demo: London ​

julia
using Tyler, GLMakie
+m = Tyler.Map(Rect2f(-0.0921, 51.5, 0.04, 0.025))

INFO

A Rect2f definition takes as input the origin, first two entries, and the width and hight, last two numbers.

Tile provider ​

We can use a different tile provider as well as any style theme from Makie as follows:

julia
using GLMakie, Tyler
+using Tyler.TileProviders
+
+provider = TileProviders.OpenStreetMap(:Mapnik)
+london = Rect2f(-0.0921, 51.5, 0.04, 0.025)
+
+with_theme(theme_dark()) do
+    m = Tyler.Map(london; provider)
+    hidedecorations!(m.axis)
+    hidespines!(m.axis)
+    m
+end

Providers list ​

More providers are available. See the following list:

julia
providers = TileProviders.list_providers()
Dict{Function, Vector{Symbol}} with 40 entries:
+  OpenAIP            => []
+  WaymarkedTrails    => [:hiking, :cycling, :mtb, :slopes, :riding, :skating]
+  NASAGIBSTimeseries => [:Agricultural_Lands_Croplands_2000, :Agricultural_Land…
+  Esri               => [:WorldStreetMap, :DeLorme, :WorldTopoMap, :WorldImager…
+  OPNVKarte          => []
+  BasemapAT          => [:basemap, :grau, :overlay, :terrain, :surface, :highdp…
+  OpenTopoMap        => []
+  FreeMapSK          => []
+  OpenFireMap        => []
+  OpenWeatherMap     => [:Clouds, :CloudsClassic, :Precipitation, :Precipitatio…
+  CyclOSM            => []
+  OpenSeaMap         => []
+  NLS                => [:osgb63k1885, :osgb1888, :osgb10k1888, :osgb1919, :osg…
+  OpenSnowMap        => [:pistes]
+  AzureMaps          => [:MicrosoftImagery, :MicrosoftBaseDarkGrey, :MicrosoftB…
+  TopPlusOpen        => [:Color, :Grey]
+  MtbMap             => []
+  OpenStreetMap      => [:Mapnik, :DE, :CH, :France, :HOT, :BZH]
+  NASAGIBS           => [:ModisTerraTrueColorCR, :ModisTerraBands367CR, :ViirsE…
+  ⋮                  => ⋮

INFO

For some providers additional configuration steps are necessary, look at the TileProviders.jl documentation for more information.

Figure size & aspect ratio ​

Although, the figure size can be controlled by passing additional arguments to Map, it's better to define a Figure first and then continue with a normal Makie's figure creation workflow, namely

julia
using GLMakie, Tyler
+using Tyler.TileProviders
+
+provider = TileProviders.OpenTopoMap()
+london = Rect2f(-0.0921, 51.5, 0.04, 0.025)
+
+with_theme(theme_dark()) do
+    fig = Figure(; size =(1200,600))
+    ax = Axis(fig[1,1]) # aspect = DataAspect()
+    m = Tyler.Map(london; provider, figure=fig, axis=ax)
+    wait(m)
+    hidedecorations!(ax)
+    hidespines!(ax)
+    fig
+end

Next, we could add any other plot type on top of the ax axis defined above.

+ + + + \ No newline at end of file diff --git a/previews/PR111/hashmap.json b/previews/PR111/hashmap.json new file mode 100644 index 00000000..01fc7f1b --- /dev/null +++ b/previews/PR111/hashmap.json @@ -0,0 +1 @@ +{"api.md":"QdOlLcWB","getting_started.md":"BzsA164f","iceloss_ex.md":"Cfn4zoy5","index.md":"BXBSKqxG","interpolation.md":"Bb1axPxP","map-3d.md":"BJWlq00L","osmmakie.md":"FALAiTes","points_poly_text.md":"bXzzx-R9","whale_shark.md":"2tpXRO1I"} diff --git a/previews/PR111/iceloss_ex.html b/previews/PR111/iceloss_ex.html new file mode 100644 index 00000000..0ae227de --- /dev/null +++ b/previews/PR111/iceloss_ex.html @@ -0,0 +1,71 @@ + + + + + + Tyler + + + + + + + + + + + + + + + +
Tyler

Appearance

Greenland ice loss example: animated & interactive ​

julia
using Tyler
+using Tyler.TileProviders
+using Tyler.Extents
+using Dates
+using HTTP
+using Arrow
+using DataFrames
+using GLMakie
+using GLMakie.Colors
+GLMakie.activate!()

INFO

Ice loss from the Greenland Ice Sheet: 1972-2022.

  • Contact person: Alex Gardner & Chad Greene

Load ice loss data [courtesy of Chad Greene @ JPL]

julia
url = "https://github.com/JuliaGeo/JuliaGeoData/blob/365a09596bfca59e0977c20c2c2f566c0b29dbaa/assets/data/iceloss_subset.arrow?raw=true";
+resp = HTTP.get(url);
+df = DataFrame(Arrow.Table(resp.body));
+first(df, 5)

select map provider

julia
provider = TileProviders.Esri(:WorldImagery);

Greenland extent

julia
extent = Extent(X = (-54., -48.), Y = (68.8, 72.5));
Extent(X = (-54.0, -48.0), Y = (68.8, 72.5))

extract data

julia
cnt = [length(foo) for foo in df.X];
+X =  reduce(vcat,df.X);
+Y =  reduce(vcat,df.Y);
+Z = [repeat([i],c) for (i, c) = enumerate(cnt)];
+Z = reduce(vcat,Z);

make a colormap

julia
nc = length(Makie.to_colormap(:thermal));
+n = nrow(df);
+alpha = zeros(nc);
+alpha[1:maximum([1,round(Int64,1*nc/n)])] = alpha[1:maximum([1,round(Int64,1*nc/n)])] .* (1.05^-1.5);
+alpha[maximum([1,round(Int64,1*nc/n)])] = 1;
+cmap = Colors.alphacolor.(Makie.to_colormap(:thermal), alpha);
+cmap = Observable(cmap);

show map

julia
fig = Figure(; size = (1200,600))
+ax = Axis(fig[1,1])
+m = Tyler.Map(extent; provider, figure=fig, axis=ax)

create initial scatter plot

julia
scatter!(ax, X, Y; color = Z, colormap = cmap, colorrange = [0, n], markersize = 10);
+m

add colorbar

julia
a,b = extrema(df.Date);
+a = year(a);
+b = year(b);
+Colorbar(fig[1,2]; colormap = cmap, colorrange = [a,b],
+    height=Relative(0.5), width = 15)
+# hide ticks, grid and lables
+hidedecorations!(ax);
+# hide frames
+hidespines!(ax);
+m

loop to create animation

julia
for k = 1:15
+    # reset apha
+    alpha[:] = zeros(nc);
+    cmap[] = Colors.alphacolor.(cmap[], alpha)
+    for i in 2:1:n
+        # modify alpha
+        alpha[1:maximum([1,round(Int64,i*nc/n)])] = alpha[1:maximum([1,round(Int64,i*nc/n)])] .* (1.05^-1.5);
+        alpha[maximum([1,round(Int64,i*nc/n)])] = 1;
+        cmap[] = Colors.alphacolor.(cmap[], alpha);
+        sleep(0.001);
+    end
+end

+ + + + \ No newline at end of file diff --git a/previews/PR111/index.html b/previews/PR111/index.html new file mode 100644 index 00000000..3b1a919b --- /dev/null +++ b/previews/PR111/index.html @@ -0,0 +1,26 @@ + + + + + + Tyler + + + + + + + + + + + + + + + +
Tyler

Appearance

Tyler.jl

Maps

Download Map Tiles on Demand

Getting Started
View on Github
Become a Sponsor
Tyler

TileProviders

A large collection of tile providers.

Makie integration

Well integrated with the Makie ecosystem.

+ + + + \ No newline at end of file diff --git a/previews/PR111/interpolation.html b/previews/PR111/interpolation.html new file mode 100644 index 00000000..3989c4ad --- /dev/null +++ b/previews/PR111/interpolation.html @@ -0,0 +1,50 @@ + + + + + + Tyler + + + + + + + + + + + + + + + +
Tyler

Appearance

Using Interpolation On The Fly ​

INFO

Sine waves

julia
using Tyler, GLMakie
+using Interpolations: interpolate, Gridded, Linear
+
+f(lon,lat)=cosd(16*lon)+sind(16*lat)
+
+f_in_0_1_range(lon,lat)=0.5+0.25*f(lon,lat)
+
+nodes=(-180.0:180.0, -90.0:90.0)
+
+array=[f(lon,lat) for lon in nodes[1], lat in nodes[2]]
+array=(array.-minimum(array))./(maximum(array)-minimum(array))
+
+itp = interpolate(nodes, array, Gridded(Linear()))
+cols=Makie.to_colormap(:viridis)
+
+col(i)=RGBAf(Makie.interpolated_getindex(cols,i))
+fun(x,y) = col(itp(x,y))
+
+options = Dict(:min_zoom => 1,:max_zoom => 19)
+
+p1 = Tyler.Interpolator(f_in_0_1_range; options)
+p2 = Tyler.Interpolator(fun; options)
+
+b = Rect2f(-20.0, -20.0, 40.0, 40.0)
+m = Tyler.Map(b, provider=p1)

TIP

Try b = Rect2f(-180.0, -89.9, 360.0, 179.8)

INFO

interpolated_getindex requires input i to be in the 0-1 range.

+ + + + \ No newline at end of file diff --git a/previews/PR111/logo.ico b/previews/PR111/logo.ico new file mode 100644 index 00000000..529a6281 Binary files /dev/null and b/previews/PR111/logo.ico differ diff --git a/previews/PR111/logo.png b/previews/PR111/logo.png new file mode 100644 index 00000000..529a6281 Binary files /dev/null and b/previews/PR111/logo.png differ diff --git a/previews/PR111/map-3d.html b/previews/PR111/map-3d.html new file mode 100644 index 00000000..20d47e68 --- /dev/null +++ b/previews/PR111/map-3d.html @@ -0,0 +1,101 @@ + + + + + + Map3D | Tyler + + + + + + + + + + + + + + + +
Tyler

Appearance

Map3D ​

Tyler also offers to view tiles in 3D, and offers a simple Elevation and PointCloud provider.

julia
using Tyler, GLMakie
+using Tyler: ElevationProvider
+
+lat, lon = (47.087441, 13.377214)
+delta = 0.3
+ext = Rect2f(lon-delta/2, lat-delta/2, delta, delta)
+m = Tyler.Map3D(ext; provider=ElevationProvider())

Elevation with PlotConfig ​

With PlotConfig one can change the way tiles are plotted. The it has a preprocess + postprocess function and allows to pass any plot attribute to the tile. These attributes are global and will be passed to every tile plot.

julia
lat, lon = (47.087441, 13.377214)
+delta = 0.3
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+cfg = Tyler.PlotConfig(
+    preprocess=pc -> map(p -> p .* 2, pc),
+    shading=FastShading, colorrange=(2000, 5000),
+    colormap=:alpine
+)
+m = Tyler.Map3D(ext; provider=ElevationProvider(nothing), plot_config=cfg)

PointClouds ​

The PointCloud provider downloads from geotiles.citg.tudelft, which spans most of the netherlands.

julia
lat, lon = (52.40459835, 4.84763329)
+delta = 0.03
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+provider = Tyler.GeoTilePointCloudProvider()
+m = Tyler.Map3D(ext; provider=provider)

Pointclouds with PlotConfig + Meshscatter ​

There is also a MeshScatter plot config, which can be used to switch the point cloud plotting from scatter to meshscatter. This looks better, at a significant slow down.

julia
lat, lon = (52.40459835, 4.84763329)
+delta = 0.008
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+provider = Tyler.GeoTilePointCloudProvider()
+image = ElevationProvider(nothing)
+cfg = Tyler.MeshScatterPlotconfig()
+m1 = Tyler.Map3D(ext; provider=provider, plot_config=cfg)
+cfg = Tyler.PlotConfig(preprocess=pc -> map(p -> p .* 2, pc), shading=FastShading, colormap=:alpine)
+m2 = Tyler.Map3D(m1; provider=image, plot_config=cfg)
+m1

Using RPRMakie ​

julia
using RPRMakie, FileIO
+function render_rpr(m, name, radiance=1000000)
+    wait(m)
+    ax = m.axis
+    cam = ax.scene.camera_controls
+    lightpos = Vec3f(cam.lookat[][1], cam.lookat[][2], cam.eyeposition[][3])
+    lights = [
+        EnvironmentLight(1.5, load(RPR.assetpath("studio026.exr"))),
+        PointLight(lightpos, RGBf(radiance, radiance * 0.9, radiance * 0.9))
+    ]
+    empty!(ax.scene.lights)
+    append!(ax.scene.lights, lights)
+    save("$(name).png", ax.scene; plugin=RPR.Northstar, backend=RPRMakie, iterations=2000)
+end
+function plastic_material()
+    return (type=:Uber, reflection_color=Vec4f(1),
+        reflection_weight=Vec4f(1), reflection_roughness=Vec4f(0.1),
+        reflection_anisotropy=Vec4f(0), reflection_anisotropy_rotation=Vec4f(0),
+        reflection_metalness=Vec4f(0), reflection_ior=Vec4f(1.4), refraction_weight=Vec4f(0),
+        coating_weight=Vec4f(0), sheen_weight=Vec4f(0), emission_weight=Vec3f(0),
+        transparency=Vec4f(0), reflection_mode=UInt(RPR.RPR_UBER_MATERIAL_IOR_MODE_PBR),
+        emission_mode=UInt(RPR.RPR_UBER_MATERIAL_EMISSION_MODE_SINGLESIDED),
+        coating_mode=UInt(RPR.RPR_UBER_MATERIAL_IOR_MODE_PBR), sss_multiscatter=true,
+        refraction_thin_surface=true)
+end

Elevation with RPRMakie ​

julia
lat, lon = (47.087441, 13.377214)
+delta = 0.5
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+cfg = Tyler.PlotConfig(
+    preprocess=pc -> map(p -> p .* 2, pc),
+    shading=FastShading,
+    material=plastic_material(),
+    colormap=:alpine
+)
+m = Tyler.Map3D(ext;
+    provider=ElevationProvider(nothing),
+    plot_config=cfg,
+    max_plots=5
+)
+render_rpr(m, "alpine", 10000000)

PointClouds with RPRMakie ​

julia
lat, lon = (52.40459835229174, 4.84763329882317)
+delta = 0.005
+ext = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta)
+provider = Tyler.GeoTilePointCloudProvider()
+mat = (type=:Microfacet, roughness=0.2, ior=1.390)
+cfg = Tyler.MeshScatterPlotconfig(material=mat, markersize=4)
+m = Tyler.Map3D(ext; provider=provider, plot_config=cfg, max_plots=3, size=(2000, 2000))
+cfg = Tyler.PlotConfig(material=mat, colormap=:Blues)
+m2 = Tyler.Map3D(m; provider=ElevationProvider(nothing), plot_config=cfg, max_plots=5)
+render_rpr(m, "pointclouds")
+cp(Tyler)

+ + + + \ No newline at end of file diff --git a/previews/PR111/osmmakie.html b/previews/PR111/osmmakie.html new file mode 100644 index 00000000..213eb206 --- /dev/null +++ b/previews/PR111/osmmakie.html @@ -0,0 +1,61 @@ + + + + + + Tyler + + + + + + + + + + + + + + + +
Tyler

Appearance

OpenStreetMap data (OSM) ​

In this example, we combine OpenStreetMap data, loading some roads and buildings and plotting them on top of a Tyler map.

julia
using Tyler, Tyler.TileProviders
+using GLMakie, OSMMakie, LightOSM
+
+area = (
+    minlat = 51.50, minlon = -0.0921, # bottom left corner
+    maxlat = 51.52, maxlon = -0.0662 # top right corner
+)
+
+download_osm_network(:bbox; # rectangular area
+    area..., # splat previously defined area boundaries
+    network_type=:drive, # download motorways
+    save_to_file_location="london_drive.json"
+);
+
+osm = graph_from_file("london_drive.json";
+    graph_type=:light, # SimpleDiGraph
+    weight_type=:distance
+)
+
+download_osm_buildings(:bbox;
+    area...,
+    metadata=true,
+    download_format=:osm,
+    save_to_file_location="london_buildings.osm"
+);
+
+# load as Buildings Dict
+buildings = buildings_from_file("london_buildings.osm");
+# Google + OSM
+provider = TileProviders.Google(:satelite)
+london = Rect2f(-0.0921, 51.5, 0.04, 0.025)
+m = Tyler.Map(london; provider=provider, crs=Tyler.wgs84)
+m.axis.aspect = map_aspect(area.minlat, area.maxlat)
+p = osmplot!(m.axis, osm; buildings)
+# DataInspector(m.axis) # this is broken/slow
+m

+ + + + \ No newline at end of file diff --git a/previews/PR111/points_poly_text.html b/previews/PR111/points_poly_text.html new file mode 100644 index 00000000..083e5978 --- /dev/null +++ b/previews/PR111/points_poly_text.html @@ -0,0 +1,55 @@ + + + + + + Tyler + + + + + + + + + + + + + + + +
Tyler

Appearance

Add points, polygons and text to a map ​

Load packages

julia
using Tyler, GLMakie
+using Tyler.TileProviders
+using Tyler.MapTiles
+using Tyler.Extents

select a map provider

julia
provider = TileProviders.Esri(:WorldImagery)
TileProviders.Provider("https://server.arcgisonline.com/ArcGIS/rest/services/{variant}/MapServer/tile/{z}/{y}/{x}", Dict{Symbol, Any}(:url => "https://server.arcgisonline.com/ArcGIS/rest/services/{variant}/MapServer/tile/{z}/{y}/{x}", :attribution => "Tiles (C) Esri -- Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community", :variant => "World_Imagery", :name => "Esri.WorldImagery", :html_attribution => "Tiles &copy; Esri &mdash; Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community"))

define a point to plot on the map

julia
# point location to add to map
+lat = 34.2013;
+lon = -118.1714;
-118.1714

convert to point in web_mercator

julia
pts = Point2f(MapTiles.project((lon,lat), MapTiles.wgs84, MapTiles.web_mercator))
2-element GeometryBasics.Point{2, Float32} with indices SOneTo(2):
+ -1.315478f7
+  4.0558638f6

set how much area to map in degrees and define an Extent for display in web_mercator

julia
delta = 1
+extent = Rect2f(lon - delta / 2, lat - delta / 2, delta, delta);
GeometryBasics.HyperRectangle{2, Float32}(Float32[-118.6714, 33.7013], Float32[1.0, 1.0])

show map

julia
m = Tyler.Map(extent; provider, size=(1000, 600))

now plot a point, polygon and text on the map

julia
objscatter = scatter!(m.axis, pts; color = :red,
+    marker = '⭐', markersize = 50)
+# hide ticks, grid and lables
+hidedecorations!(m.axis)
+# hide frames
+hidespines!(m.axis)
+# Plot a plygon on the map
+p1 = (lon-delta/8, lat-delta/8)
+p2 = (lon-delta/8, lat+delta/8)
+p3 = (lon+delta/8, lat+delta/8)
+p4 = (lon+delta/8, lat-delta/8)
+
+polyg = MapTiles.project.([p1, p2, p3, p4], Ref(MapTiles.wgs84), Ref(MapTiles.web_mercator))
+polyg = Point2f.(polyg)
+poly!(polyg; color = :transparent, strokecolor = :black, strokewidth = 5)
+
+# Add text
+pts2 = Point2f(MapTiles.project((lon,lat-delta/6), MapTiles.wgs84, MapTiles.web_mercator))
+text!(pts2, text = "Basic Example"; fontsize = 30,
+    color = :darkblue, align = (:center, :center)
+    )
+m

+ + + + \ No newline at end of file diff --git a/previews/PR111/siteinfo.js b/previews/PR111/siteinfo.js new file mode 100644 index 00000000..aa071f11 --- /dev/null +++ b/previews/PR111/siteinfo.js @@ -0,0 +1 @@ +var DOCUMENTER_CURRENT_VERSION = "previews/PR111"; diff --git a/previews/PR111/vp-icons.css b/previews/PR111/vp-icons.css new file mode 100644 index 00000000..ddc5bd8e --- /dev/null +++ b/previews/PR111/vp-icons.css @@ -0,0 +1 @@ +.vpi-social-github{--icon:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 24 24' width='24' height='24'%3E%3Cpath fill='black' d='M12 .297c-6.63 0-12 5.373-12 12c0 5.303 3.438 9.8 8.205 11.385c.6.113.82-.258.82-.577c0-.285-.01-1.04-.015-2.04c-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729c1.205.084 1.838 1.236 1.838 1.236c1.07 1.835 2.809 1.305 3.495.998c.108-.776.417-1.305.76-1.605c-2.665-.3-5.466-1.332-5.466-5.93c0-1.31.465-2.38 1.235-3.22c-.135-.303-.54-1.523.105-3.176c0 0 1.005-.322 3.3 1.23c.96-.267 1.98-.399 3-.405c1.02.006 2.04.138 3 .405c2.28-1.552 3.285-1.23 3.285-1.23c.645 1.653.24 2.873.12 3.176c.765.84 1.23 1.91 1.23 3.22c0 4.61-2.805 5.625-5.475 5.92c.42.36.81 1.096.81 2.22c0 1.606-.015 2.896-.015 3.286c0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12'/%3E%3C/svg%3E")} \ No newline at end of file diff --git a/previews/PR111/whale_shark.html b/previews/PR111/whale_shark.html new file mode 100644 index 00000000..06fe77f9 --- /dev/null +++ b/previews/PR111/whale_shark.html @@ -0,0 +1,72 @@ + + + + + + Whale shark's trajectory | Tyler + + + + + + + + + + + + + + + +
Tyler

Appearance

Whale shark's trajectory ​

The full stack of Makie's ecosystem works.

Load packages

julia
using Tyler, GLMakie
+using Tyler.TileProviders
+using Tyler.MapTiles
+using CSV, DataFrames
+using DataStructures: CircularBuffer
+using Downloads: download

Here, we will be using points that originally are in longitude and latitute, hence a function to transform those into the web_mercator projection is defined,

julia
function to_web_mercator(lo,lat)
+    return Point2f(MapTiles.project((lo,lat), MapTiles.wgs84, MapTiles.web_mercator))
+end

and downloading and preparing the data is done next

julia
url = "https://raw.githubusercontent.com/MakieOrg/Tyler.jl/master/docs/src/assets/data/whale_shark_128786.csv"
+d = download(url)
+whale = CSV.read(d, DataFrame)
+lon = whale[!, :lon]
+lat = whale[!, :lat]
+steps = size(lon,1)
+points = to_web_mercator.(lon,lat)
+
+lomn, lomx = extrema(lon)
+lamn, lamx = extrema(lat)
+δlon = abs(lomn - lomx)
+δlat = abs(lamn - lamx)

INFO

Whale shark movements in Gulf of Mexico.

  • Contact person: Eric Hoffmayer

Then a provider and the initial map are set

julia
provider = TileProviders.NASAGIBS(:ViirsEarthAtNight2012)
+
+set_theme!(theme_dark())
+fig = Figure(; size = (1200, 600))
+ax = Axis(fig[1,1])
+m = Tyler.Map(Rect2f(Rect2f(lomn - δlon/2, lamn-δlat/2, 2δlon, 2δlat));
+    provider, figure=fig, axis=ax)

Initial point ​

julia
nt = 30
+trail = CircularBuffer{Point2f}(nt)
+fill!(trail, points[1]) # add correct values to the circular buffer
+trail = Observable(trail) # make it an observable
+whale = Observable(points[1])
+
+c = to_color(:orangered)
+trailcolor = [RGBAf(c.r, c.g, c.b, (i/nt)^2.5) for i in 1:nt] # fading tail
+
+objline = lines!(ax, trail; color = trailcolor, linewidth=3)
+objscatter = scatter!(ax, whale; markersize = 15, color = :orangered,
+    strokecolor=:white, strokewidth=1.5)
+hidedecorations!(ax)
+hidespines!(ax)
+m

Animated trajectory ​

The animation is done by updating the Observable values

julia
record(fig, "whale_shark_128786.mp4") do io
+    for i in 2:steps
+        push!(trail[], points[i])
+        whale[] = points[i]
+        trail[] = trail[]
+        recordframe!(io)  # record a new frame
+    end
+end
+set_theme!() # reset theme (default)

+ + + + \ No newline at end of file