Data accuracy and quality, standard and advanced geospatial data models, data integration and analysis, constraint analysis, location-allocation analysis, metadata standards and documentation, geospatial ethics, industry applications of geospatial analysis. Prereq: GSP 270. Recommended: GSP 216 and GSP 316.
To enroll in this course, you must have been admitted into the Online Geospatial Certificate Program and have completed GSP 270.
Spring 2022: Jan. 18-March 11, 2022
Fee: $897 [subject to change]
Nicolas teaches in the Department of Environmental Science & Management at Humboldt State University. He holds an M.S. from Humboldt State University and received his B.A. at California State University - San Bernardino. His research and training has been in GIS, cartography, mapping sciences, and environmental science. He has taught GSP 101: Geospatial Concepts; GSP 270: GIS; and GSP 370: Intermediate GIS.