geospatial information modeling and thematic mapping Kalkhan, Mohammed A. creator text flu Boca Raton, FL CRC Press 2011 monographic eng

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xiv, 166 p., [2] p. of col. plates : ill., maps ; 24 cm. Geospatial information modeling and mapping has become an important tool for the investigation and management of natural resources at the landscape scale. Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping reviews the types and applications of geospatial information data, such as remote sensing, geographic information systems (GIS), and GPS as well as their integration into landscape-scale geospatial statistical models and maps. The book explores how to extract information from remotely sensed imagery, GIS, and GPS, and how to combine this with field data--vegetation, soil, and environmental--to produce a spatial model that can be reconstructed and displayed using GIS software. Readers learn the requirements and limitations of each geospatial modeling and mapping tool. Case studies with real-life examples illustrate important applications of the models 1. Geospatial information technology -- 2. Data sampling methods and applications -- 3. Spatial pattern and correlation statistics -- 4. Geospatial analysis and modeling-mapping -- 5. R statistical package -- 6. Working with geospatial information data specialized Mohammed A. Kalkhan Includes bibliographical references and index Spatial analysis (Statistics) Geospatial data Mathematical models 9781420069761 1420069764 UMP 111212 20251117150318.0 vtls000057148