Spatial data development/analysis in science/management of natural resources. Data structures/sources/collection/quality. Geodesy, map projections, spatial/tabular data analysis. Digital terrain analysis, cartographic modeling, modeling perspectives, limits of technology. Lab exercises. Both onsite and fully online options for course enrollment.
Class Time: 50% Lecture, 50% Laboratory.
Work Load: 25-30 pages reading per week, 3 exams.
Grade: 15% mid exam, 15% final exam, 55% laboratory evaluation, 15% other evaluation. Third Test
Exam Format: short answer; multiple choice