RT @jakub_nowosad@twitter.com
‼️Geocomputation with R, ed.2: progress report‼️
The Ecology chapter we demonstrates ecological applications of spatial machine learning and GIS-R bridges.
Want to learn more about applied geocomputation (for #ecology), visit https://geocompr.robinlovelace.net/eco.html.
🐦🔗: https://twitter.com/jakub_nowosad/status/1607757937102970884
#ecology #rstats #rspatial #geocompr
RT @jakub_nowosad
‼️Geocomputation with R, ed.2: progress report‼️
The Ecology chapter we demonstrates ecological applications of spatial machine learning and GIS-R bridges.
Want to learn more about applied geocomputation (for #ecology), visit https://geocompr.robinlovelace.net/eco.html.
#ecology #rstats #rspatial #geocompr
‼️Geocomputation with R, ed.2: progress report‼️
The Ecology chapter we demonstrates ecological applications of spatial machine learning and GIS-R bridges.
Want to learn more about applied geocomputation (for #ecology), visit https://geocompr.robinlovelace.net/eco.html.
#ecology #rstats #rspatial #geocompr
RT @jakub_nowosad
‼️Geocomputation with R, ed.2: progress report‼️
Want to learn more about the analysis of transport systems at different geographic levels, visit https://geocompr.robinlovelace.net/transport.html.
It uses {stplanr}, {sfnetworks}, {sf}, {tmap}, {dplyr}, and more...
‼️Geocomputation with R, ed.2: progress report‼️
Want to learn more about the analysis of transport systems at different geographic levels, visit https://geocompr.robinlovelace.net/transport.html.
It uses {stplanr}, {sfnetworks}, {sf}, {tmap}, {dplyr}, and more...
30 Day Map Challenge 2022 | @nrennie35
https://nrennie.rbind.io/blog/2022-11-30-30-day-map-challenge-2022/
#rstats #rspatial #tmap #geocompr
‼️Geocomputation with R, ed.2: progress report‼️
The Statistical Learning chapter is now based on the {mlr3} packages' framework.
Want to learn more about a (spatial) prediction of landslides, visit https://geocompr.robinlovelace.net/spatial-cv.html.
RT @jakub_nowosad
‼️Geocomputation with R, ed.2: progress report‼️
The Statistical Learning chapter is now based on the {mlr3} packages' framework.
Want to learn more about a (spatial) prediction of landslides, visit https://geocompr.robinlovelace.net/spatial-cv.html.
RT @jakub_nowosad
‼️Geocomputation with R, ed.2: progress report‼️
The Statistical Learning chapter is now based on the {mlr3} packages' framework.
Want to learn more about a (spatial) prediction of landslides, visit https://geocompr.robinlovelace.net/spatial-cv.html.
RT @jakub_nowosad: Inset maps enable multiple places to be shown in the same geographic data visualization. They can be easily created in #rstats using the #ggplot2 package. You can read how to make them in a blog post at https://geocompr.github.io/post/2019/ggplot2-inset-maps/. #geocompr #viz #rspatial
https://twitter.com/jakub_nowosad/status/1203668208022151169
#rstats #ggplot2 #geocompr #viz #rspatial
RT @babayoshihikoCH: I gave a lecture on #geocompr at GIS conference and a presentation at FoSS4G Japan and people are interested in the difference b/w S2 and GEOS. @robinlovelace @jakub_nowosad
https://twitter.com/babayoshihikoCH/status/1591549188872974336
RT @babayoshihikoCH
I gave a lecture on #geocompr at GIS conference and a presentation at FoSS4G Japan and people are interested in the difference b/w S2 and GEOS. @robinlovelace @jakub_nowosad
‼️Geocomputation with R, ed.2: progress report‼️
Updated Bridges to GIS software chapter:
- {qgisprocess} @paleolimbot
- {Rsagacmd} @StevenPawley
- {rgrass} @RogerBivand
- {rstac}
- {gdalcubes} @appelmar
- ...
Read it at https://geocompr.robinlovelace.net/gis.html.