[h=2]R Spatial[/h]Statisticians and data miners use R for open statistical software development and analysis.
What you may not have known is that it’s already being adopted in GIS.
This is because R can visualize and analyze spatial data. It places emphasis on statistics, but it can do both.
It’s not a bad idea to learn some programming languages/packages that are not strictly tied to ArcGIS. And for this reason, R is often recommended:
-- ADD YOUR CONTENT HERE --
What you may not have known is that it’s already being adopted in GIS.
This is because R can visualize and analyze spatial data. It places emphasis on statistics, but it can do both.
It’s not a bad idea to learn some programming languages/packages that are not strictly tied to ArcGIS. And for this reason, R is often recommended:
- Introduction to Visualizing Spatial Data in R – Robin Lovelace and James Chesire give you hands-on experience with R’s popular graphics package ggplot2 (Introduction to Visualizing Spatial Data in R)
- Geospatial Data in R and Beyond – The key functions and manipulations of spatial vector and raster data. (R Spatial Cheatsheet)
-- ADD YOUR CONTENT HERE --
أكثر...