This course utilizes visualization of spatial data with GIS-based methods to analyze the data's distribution in space and/or time. Key topics will include the properties and quality of spatial data from land based and remote sensing sources, and the conceptual framework of spatial analysis. Project-centric lab exercises will include a variety of geospatial application such as the analysis of land use/land cover change, digital elevation model (DEM) analysis for terrain, watershed and flow, spatial interpolation, site suitability analysis, and spatial modeling through public and/or private sector applications. Prerequisite: EVRN225.
Source: Academic Catalog 2018-19