This areas is for the projects and visualization tutorials that I wished that I had when I started using R for GIS and raster based processing. Some of these focus on machine learning techniques, raster manipulation, spatio-temporal analysis and visualizations focused on soil carbon, land use change, and rural cropping dynamics.
Skills: API/server Download, projections, zonal statistics, Bivariate Chloropleth Maps, spatial data frame manipulations, dumbbell plots
Right now, I am editing, organizing, and processing two major projects based on the markdown files that will be translated into a github page from the Agricultural Land Repository
This project mines the NASS acreage datasets and the cropland data layer, looking at both cropland expansion, as well as corn and soybean production patterns.