Theory and application of statistical techniques to analyzing geospatial data. Topics include spatial sampling, measures of dispersion and central tendency in spatial analysis, point pattern analysis, spatial autocorrelation and regression analysis applied to geospatial data. Fall, every year. Introduction to art and science of map making and cartographic design. Topics include map data acquisition, map projects and cartographic design elements such as color theory, typography, data classification and symbology.
Course includes a laboratory component using computer cartographic software.
Fall, every year. Fundamental concepts and uses of GIS as a problem-solving tool for geographical analysis. Course includes a laboratory component. In-depth introduction to GIS methodology, focusing on practical software tools and their applications. Lab-intensive course focusing on developing working knowledge and understanding of major GIS software.