#OpenSource data and #R code for plotting Correlation between highways and densely-populated areas, globally. Example of Haryana (India).
Data: @openstreetmap @nasa

Full Codehttps://tinyurl.com/hy-pop-roads

Tools: #rstats, #ggplot2, #tidyterra, #osmextract by @rOpenSci

#Maps #OpenSource code to plot correlation between changes in population density (in last 3 decades) and road network, e.g. #Delhi (#India)
Data: @openstreetmap @nasa

Full Codehttps://tinyurl.com/delhi-pop-roads

Tools: #rstats #ggplot2 #tidyterra #osmextract by @rOpenSci

#dataviz #maps Code experimenting with package {hillshader} by @pierreroudier - a wrapper around #rayshader - quick code to plot hilly regions in #rstats
Full Codehttps://tinyurl.com/hill-sikkim
Tools: #ggplot2 #terra #tidyterra by @dhernangomez #elevatr by USEPA

#dataviz #ClimateAction A facet graph for drought severity (PDSI) in India with #opensource #raster data. And, a neat trick to put facet_grid like strip labels in facet_wrap() and geom_spatraster()

Full Codehttps://bit.ly/4aF3mRT

Data: https://www.climatologylab.org/

Tools #rstats #ggplot2 #sf #terra #tidyterra

#dataviz #maps A code demonstration and tutorial on using power of #R, {sf} & {terra} for techinques of raster extraction. Getting elevations and land use on points, routes and areas.
Code https://tinyurl.com/raster-extract
Tools #rstats #sf #ggplot2 #terra #tidyterra by @dhernangomez