Geospatial information modeling and mapping have become important tools for the investigation and management of natural resources at the landscape scale. This book reviews the types and applications of geospatial information data, such as remote sensing, GIS, and GPS, as well as their integration into landscape-scale geospatial statistical models and maps. Readers will learn the requirements and limitations of each geospatial tool. Along with case studies and statistical data analysis methods, the text includes laboratory exercises using ArcInfo, ArcGIS, ArcView, ERDAS-IMAGINE, and other popular software for geospatial modeling.
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