Cover all links to CRAN to canonical format

README.Rmd

@@ -36,7 +36,7 @@ GSOD.
 
 There are several other sources of weather data and ways of retrieving them
 through R. In particular, the excellent 
-[rnoaa](https://cran.r-project.org/web/packages/rnoaa/index.html) package from
+[rnoaa](https://CRAN.R-project.org/package=rnoaa) package from
 [ROpenSci](https://ropensci.org) offers tools for interacting with and
 downloading weather data from the United States National Oceanic and
 Atmospheric Administration but lacks support GSOD data.
@@ -68,7 +68,7 @@ install.packages("GSODR")
 
 A development version is available from from GitHub. If you wish to install the
 development version that may have new features (but also may not work properly),
-install the [devtools package](https://cran.r-project.org/web/packages/devtools/index.html),
+install the [devtools package](https://CRAN.R-project.org/package=devtools),
 available from CRAN. I strive to keep the master branch on GitHub functional and
 working properly this may not always happen.
 

README.md

@@ -28,11 +28,10 @@ humidity variables calculated from existing data in GSOD.
 
 There are several other sources of weather data and ways of retrieving
 them through R. In particular, the excellent
-[rnoaa](https://cran.r-project.org/web/packages/rnoaa/index.html)
-package from [ROpenSci](https://ropensci.org) offers tools for
-interacting with and downloading weather data from the United States
-National Oceanic and Atmospheric Administration but lacks support GSOD
-data.
+[rnoaa](https://CRAN.R-project.org/package=rnoaa) package from
+[ROpenSci](https://ropensci.org) offers tools for interacting with and
+downloading weather data from the United States National Oceanic and
+Atmospheric Administration but lacks support GSOD data.
 
 This package was largely based on Tomislav Hengl's work
 "[getGSOD.R](http://spatial-analyst.net/book/getGSOD.R)", which can be
@@ -67,9 +66,9 @@ install.packages("GSODR")
 A development version is available from from GitHub. If you wish to
 install the development version that may have new features (but also may
 not work properly), install the [devtools
-package](https://cran.r-project.org/web/packages/devtools/index.html),
-available from CRAN. I strive to keep the master branch on GitHub
-functional and working properly this may not always happen.
+package](https://CRAN.R-project.org/package=devtools), available from
+CRAN. I strive to keep the master branch on GitHub functional and
+working properly this may not always happen.
 
 If you find bugs, please file a report as an issue.
 

vignettes/Using_GSODR.Rmd

@@ -62,9 +62,10 @@ provide valid geo-locations after cleaning.
   GSOD_stations$STNID <- as.character(paste(GSOD_stations$USAF, GSOD_stations$WBAN, sep = "-"))
 ```
 
-Using [ggplot2](https://cran.r-project.org/web/packages/ggplot2/index.html) and the [ggalt](https://cran.r-project.org/web/packages/ggalt/index.html) package it is
-possible to plot the station locations using alpha transparency to see the
-densest part of the network and use the Robinson projection for the map.
+Using [ggplot2](https://CRAN.R-project.org/package=ggplot2) and the 
+[ggalt](https://CRAN.R-project.org/package=ggalt) package it is possible to plot
+the station locations using alpha transparency to see the densest part of the
+network and use the Robinson projection for the map.
 
 ```{r plot_stations, fig.width=7, fig.height=7, fig.cap="GSOD Station Locations"}
 library(ggplot2)
@@ -80,7 +81,8 @@ ggplot(GSOD_stations, aes(x = LON, y = LAT)) +
 ## Find Stations in Australia
 
 GSODR provides lists of weather station locations and elevation values. Using
-[dplyr](https://cran.r-project.org/web/packages/dplyr/index.html), we can find all the stations in Australia.
+[dplyr](https://CRAN.R-project.org/package=dplyr), we can find all the stations
+in Australia.
 ```{r australia_stations, message=FALSE, warning=FALSE}
 library(dplyr)
 # left_join the the station data with the country list
@@ -139,7 +141,7 @@ get_GSOD(years = 2010, station = tbar_stations, dsn = "~/",
 
 Using the first data downloaded for a single station, plot the temperature for
 2010, setting the "-9999" value to NA on import using `read_csv()` from Hadley's
-[readr](https://cran.r-project.org/web/packages/readr/index.html) package.
+[readr](https://CRAN.R-project.org/package=readr) package.
 
 ```{r plot_temps, fig.width=7, fig.height=7, message=FALSE, fig.cap="Toowoomba 2010 Temperatures"}
 library(lubridate)
@@ -218,7 +220,8 @@ print(AUS_sqlite, n = 5)
 ```
 # Generating hourly temperature data from daily using the `chillR` package
 
-The [chillR](https://cran.rstudio.com/web/packages/chillR/index.html) package from [Eike Luedeling](http://eikeluedeling.com/index.html)
+The [chillR](https://CRAN.R-project.org/package=chillR) package from
+[Eike Luedeling](http://eikeluedeling.com/index.html)
 has a function, `make_hourly_temps()` that can be used to temporally downscale
 daily weather data to hourly using the station's latitude. Here's how that's
 possible using the Toowoomba-Airport data.