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 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 Credits 3. 3 Lecture Hours. 0 Lab Hours.
