Programming for Spatial Data Applications with R

Catalog description

Credits 3. 3 Lecture Hours. 0 Lab Hours. Integration of geospatial data and R programming to support analyses in ecology and conservation biology; emphasis on managing and mapping spatial data, applying geocomputation to vector and raster data, conducting spatiotemporal analysis, and creating incident maps. Prerequisites: STAT 301 , STAT 302 , or STAT 303 , or approval of instructor.