Merge pull request #30 from NASA-IMPACT/develop

Deploy changes

.env

@@ -1,8 +1,8 @@
 # Title of the application shown on the header and wherever the name is needed.
-APP_TITLE=Dashboard Delta
+APP_TITLE=VEDA Dashboard
 
 # Short description used in meta tags. It shows up when the app url is shared.
-APP_DESCRIPTION=Earth changing dashboard
+APP_DESCRIPTION=Visualization, Exploration, and Data Analysis (VEDA)
 
 # Email to reach out when an error occurs or the users have questions.
 APP_CONTACT_EMAIL=[email protected]
@@ -20,4 +20,7 @@ MAPBOX_STYLE_URL='mapbox://styles/covid-nasa/ckb01h6f10bn81iqg98ne0i2y'
 
 # If the app is being served in from a subfolder, the domain url must be set.
 # For example, if the app is served from /mysite:
-# PUBLIC_URL=http://example.com/mysite
+# PUBLIC_URL=http://example.com/mysite
+
+# Google form for feedback
+GOOGLE_FORM = 'https://docs.google.com/forms/d/e/1FAIpQLSfGcd3FDsM3kQIOVKjzdPn4f88hX8RZ4Qef7qBsTtDqxjTSkg/viewform?embedded=true'

.github/workflows/deploy-prod.yml

@@ -9,7 +9,8 @@ on:
 
 env:
   NODE: 16
-  DOMAIN_PROD: https://earthdata.nasa.gov/dashboard
+  # DOMAIN_PROD: https://www.earthdata.nasa.gov/dashboard
+  DOMAIN_PROD: /dashboard
   DEPLOY_BUCKET_PROD: climatedashboard
   DEPLOY_BUCKET_PROD_REGION: us-east-1
 

datasets/svi_household.ej.data.mdx

@@ -0,0 +1,127 @@
+---
+id: svi-household
+name: 'Household and Disability Score'
+description: "Household composition and disability score for the Centers for Disease Control and Prevention (CDC) Social Vulnerability Index (SVI) gridded at a spatial resolution of 1 km"
+media:
+  src: ::file ./svi-household--dataset-cover.png
+  alt: 2018 Social Vulnerability Index (SVI) based on household and disability score.
+  author:
+    name: NASA
+    url: https://nasa.gov/
+thematics:
+  - environmental-justice
+layers:
+  - id: social-vulnerability-index-household
+    name: Household and Disability Score
+    type: raster
+    description: 'Household Composition & Disability (Aged 65 or Older, Aged 17 or Younger, Civilian with a Disability, Single-Parent Households) - Percentile ranking'
+    zoomExtent:
+      - 2
+      - 16
+    sourceParams:
+      resampling_method: bilinear
+      bidx: 1
+      colormap_name: oranges
+      rescale:
+        - 0
+        - 1
+    compare:
+      datasetId: svi-household
+      layerId: social-vulnerability-index-household
+      mapLabel: |
+        ::js ({ dateFns, datetime, compareDatetime }) => {
+          return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
+        }
+    legend:
+      type: gradient
+      min: "0"
+      max: "1"
+      stops:
+      - "#fff5eb"
+      - "#fdd9b4"
+      - "#fda762"
+      - "#f3701b"
+      - "#c54102"
+      - "#7f2704"
+  - id: social-vulnerability-index-household-nopop
+    name: Household and Disability Score (No Pop)
+    type: raster
+    description: 'Household Composition & Disability (Aged 65 or Older, Aged 17 or Younger, Civilian with a Disability, Single-Parent Households) - Percentile ranking'
+    zoomExtent:
+      - 2
+      - 16
+    sourceParams:
+      resampling_method: bilinear
+      bidx: 1
+      colormap_name: oranges
+      rescale:
+        - 0
+        - 1
+    compare:
+      datasetId: svi-household
+      layerId: social-vulnerability-index-household-nopop
+      mapLabel: |
+        ::js ({ dateFns, datetime, compareDatetime }) => {
+          return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
+        }
+    legend:
+      type: gradient
+      min: "0"
+      max: "1"
+      stops:
+      - "#fff5eb"
+      - "#fdd9b4"
+      - "#fda762"
+      - "#f3701b"
+      - "#c54102"
+      - "#7f2704"
+---
+
+<Block>
+<Prose>
+CDC's Social Vulnerability Index (SVI) uses 15 variables at the census tract level. The data comes from the U.S. decennial census for the years 2000 & 2010, and the American Community Survey (ACS) for the years 2014, 2016, and 2018. It is a hierarchical additive index (Tate, 2013), with the component elements of CDC’s SVI including the following for 4 themes: Socioeconomic Status, Household Composition & Disability, Minority Status & Language, and Housing Type & Transportation.
+
+SVI indicates the relative vulnerability of every U.S. Census tract–subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking.
+</Prose>
+</Block>
+
+<Block>
+<Prose>
+## Scientific research
+The Household Composition & Disability Score (HCDS) is one of the four themes used in determining a community’s social vulnerability. This dataset can be used to create a community evacuation plan accounting for individuals who have special needs, the elderly, and/or families with young children. In the event of a disaster, this data can also help responders determine the number of emergency personnel required for special household cases (accessibility assistance), the type of supplies needed based on age, and the amount of supplies, food, and other restorative resources needed¹. The HCDS SVI Grid is part of the U.S. Census Grids collection, and displays the Center for Disease Control & Prevention (CDC) SVI score. Funding for the final development, processing and dissemination of this data set by the Socioeconomic Data and Applications Center (SEDAC)was provided under the U.S. National Aeronautics and Space Administration (NASA)². 
+</Prose>
+</Block>
+
+<Block type='full'>
+<Figure>
+  <Map
+    datasetId='svi-household'
+    layerId='social-vulnerability-index-household'
+    dateTime='2016-01-01'
+    zoom={10}
+    center={[-90.18,29.96]}
+    isComparing
+  />
+  <Caption
+    attrAuthor='NASA'
+    attrUrl='https://nasa.gov/'
+  >
+    Comparison of the household composition and disability score for New Orleans, LA between 2014 and 2016.
+  </Caption>
+</Figure>
+<Prose>
+## Interpreting the data
+The Household Composition & Disability score displays the vulnerability in a given county tract based on household composition using values that range from 0 (less vulnerable) to 1 (more vulnerable). The SVI is presented as a percentile that allows a tract to be compared directly to the tracts around it. Vulnerable household compositions were those identified as having residents who were aged 65 or older, aged 17 or younger, had a disability, and/or were a single-parent with children under the age of 18. People in any of these categories are more likely to require financial support, transportation, medical care, or assistance with ordinary daily activities during disasters and therefore have an increased vulnerability³. County tracts with a higher percentage of vulnerable household compositions were given higher SVI values.
+</Prose>
+</Block>
+
+<Block>
+<Prose>
+## Credits
+1) Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program. CDC/ATSDR Social Vulnerability Index Database. https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/pdf/SVI2018Documentation_01192022_1.pdf
+
+2) Center for International Earth Science Information Network, (CIESIN), Columbia University. 2021. Documentation for the U.S. Social Vulnerability Index Grids. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/fjr9-a973. Accessed 13 May 2022.
+
+3) Flanagan, Barry E.; Gregory, Edward W.; Hallisey, Elaine J.; Heitgerd, Janet L.; and Lewis, Brian (2011) "A Social Vulnerability Index for Disaster Management," Journal of Homeland Security and Emergency Management: Vol. 8: Iss. 1, Article 3. DOI: 10.2202/1547-7355.1792 Available at: http://www.bepress.com/jhsem/vol8/iss1/3 
+</Prose>
+</Block>

datasets/svi_housing.ej.data.mdx

@@ -0,0 +1,132 @@
+---
+id: svi-housing
+name: 'Housing Type and Transportation Score'
+description: "Housing Type and Transportation score for the Centers for Disease Control and Prevention (CDC) Social Vulnerability Index (SVI) gridded at a spatial resolution of 1 km"
+media:
+  src: ::file ./svi-housing--dataset-cover.png
+  alt: 2018 Social Vulnerability Index (SVI) based on housing type and transportation score.
+  author:
+    name: NASA
+    url: 
+thematics:
+  - environmental-justice
+layers:
+  - id: social-vulnerability-index-housing
+    name: Housing Type and Transportation Score
+    type: raster
+    description: 'Housing Type & Transportation (Multi-Unit Structures, Mobile Homes, Crowding, No Vehicle, Group Quarters) - Percentile ranking'
+    datetime: |
+        ::js ({ datetime, dateFns }) => {
+          return dateFns.sub(datetime, { years: 2 });
+        }
+    zoomExtent:
+      - 2
+      - 16
+    sourceParams:
+      resampling_method: bilinear
+      bidx: 1
+      colormap_name: blues
+      rescale:
+        - 0
+        - 1
+    compare:
+      datasetId: svi-housing
+      layerId: social-vulnerability-index-housing
+      mapLabel: |
+        ::js ({ dateFns, datetime, compareDatetime }) => {
+          return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
+        }
+    legend:
+      type: gradient
+      min: "0"
+      max: "1"
+      stops:
+      - "#f7fbff"
+      - "#d0e1f2"
+      - "#94c4df"
+      - "#4a98c9"
+      - "#1764ab"
+      - "#08306b"
+  - id: social-vulnerability-index-housing-nopop
+    name: Housing Type and Transportation Score - Masked for No Population
+    type: raster
+    description: 'Housing Type & Transportation (Multi-Unit Structures, Mobile Homes, Crowding, No Vehicle, Group Quarters) - Percentile ranking masked for regions with no population'
+    zoomExtent:
+      - 2
+      - 16
+    sourceParams:
+      resampling_method: bilinear
+      bidx: 1
+      colormap_name: blues
+      rescale:
+        - 0
+        - 1
+    compare:
+      datasetId: svi-housing
+      layerId: social-vulnerability-index-housing-nopop
+      mapLabel: |
+        ::js ({ dateFns, datetime, compareDatetime }) => {
+          return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
+        }
+    legend:
+      type: gradient
+      min: "0"
+      max: "1"
+      stops:
+      - "#f7fbff"
+      - "#d0e1f2"
+      - "#94c4df"
+      - "#4a98c9"
+      - "#1764ab"
+      - "#08306b"
+---
+
+<Block>
+<Prose>
+CDC's Social Vulnerability Index (SVI) uses 15 variables at the census tract level. The data comes from the U.S. decennial census for the years 2000 & 2010, and the American Community Survey (ACS) for the years 2014, 2016, and 2018. It is a hierarchical additive index (Tate, 2013), with the component elements of CDC’s SVI including the following for 4 themes: Socioeconomic Status, Household Composition & Disability, Minority Status & Language, and Housing Type & Transportation.
+
+SVI indicates the relative vulnerability of every U.S. Census tract–subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking.
+</Prose>
+</Block>
+
+<Block>
+<Prose>
+## Scientific research
+The Housing Type & Transportation Score (HTTS) is one of the four themes used in determining a community’s social vulnerability, examining it against housing structure/type and vehicle access. As with the other SVI thematic areas, in the event of a disaster, or to better prepare for one, this dataset can help emergency personnel create an evacuation plan for individuals without vehicles, allocate emergency preparedness funding by community need, and identify areas in need of emergency shelters¹. It can also be used for local governments to identify areas needing more robust public transportation, areas of overcrowding, and local housing vulnerability. The HTTS SVI Grid is part of the U.S. Census Grids collection, and displays the Center for Disease Control & Prevention (CDC) SVI score. Funding for the final development, processing and dissemination of this data set by the Socioeconomic Data and Applications Center (SEDAC)was provided under the U.S. National Aeronautics and Space Administration (NASA)².
+</Prose>
+</Block>
+
+<Block type='full'>
+<Figure>
+  <Map
+    datasetId='svi-housing'
+    layerId='social-vulnerability-index-housing'
+    dateTime='2018-01-01'
+    zoom={9}
+    center={[-75.32,39.98]}
+    isComparing
+  />
+  <Caption
+    attrAuthor='NASA'
+    attrUrl='https://nasa.gov/'
+  >
+    Comparison of the housing and transportation score for Philadelphia, PA between 2016 and 2018.
+  </Caption>
+</Figure>
+<Prose>
+## Interpreting the data
+Interpreting the Data
+Housing Type & Transportation Score displays the vulnerability in a given county tract based on housing type and transportation accessibility using values that range from 0 (less vulnerable) to 1 (more vulnerable). The score is broken down into several variables, all of which have been identified as areas of vulnerability for a community in the event of a disaster: number of multi-unit structures, mobile homes, level of crowding, vehicle accessibility, and grouped housing. Housing structure and quality are important factors in evaluating disaster vulnerability, as it is closely tied to personal wealth. Low-income communities often live in more poorly constructed houses or mobile homes that are especially vulnerable to strong storms or earthquakes³. The time, effort, and personnel that may be needed to evacuate crowded spaces can delay a community and the individual’s ability to avoid disasters or vulnerable situations. On the other hand, having access to reliable transportation can increase an individual’s ability to avoid vulnerable situations. 
+</Prose>
+</Block>
+
+<Block>
+<Prose>
+## Credits
+1) Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program. CDC/ATSDR Social Vulnerability Index Database. https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/pdf/SVI2018Documentation_01192022_1.pdf
+
+2) Center for International Earth Science Information Network, (CIESIN), Columbia University. 2021. Documentation for the U.S. Social Vulnerability Index Grids. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/fjr9-a973. Accessed 13 May 2022.
+
+3) Flanagan, Barry E.; Gregory, Edward W.; Hallisey, Elaine J.; Heitgerd, Janet L.; and Lewis, Brian (2011) "A Social Vulnerability Index for Disaster Management," Journal of Homeland Security and Emergency Management: Vol. 8: Iss. 1, Article 3. DOI: 10.2202/1547-7355.1792 Available at: http://www.bepress.com/jhsem/vol8/iss1/3
+</Prose>
+</Block>