Faculty: Burnicki, Amy C.
Department: Civil & Environmental Engineering
Excerpt: Dr. Burnicki’s research applies principles and methodologies from GIScience, remote sensing, geostatistics and statistics to the field of Land Change Science in order to improve the ability to quantify land change patterns and develop models that describe land change processes. Her research addresses important questions such as how are landscapes changing with respect to land-use/-cover, […]
Categories | Keywords: Civil and Environmental Engineering, error in geospatial data, GIScience (geographic information science), land science, land-cover-use modeling, landscape modeling, spatial data analysis, spatial modeling, uncertainty in geospatial data