An introduction to computer-based mapping and spatial data analysis used in earth and life sciences and environmental monitoring and management. Topics include: digital representation of data and images; cartographic principles and the use of GPS; raster and vector based geographical information systems (GIS); geostatistics, kriging, and visualization of geospatial data sets; acquisition and analysis of multispectral remote sensing data, including principle component analysis and classification techniques. Three class hours and three laboratory hours a week. (Offered every year.) Prerequisites: Completion of both the Natural Sciences and the Quantitative Reasoning approaches within the Pathways curriculum.