02083nam a2200265 a 4500 vtls000057148 KUKTEM 20251117150318.0 111212t2011 flua f 001 0 eng d 9781420069761 1420069764 201203131132 asmadi 201112121534 shah UMP QA278.2 .K35 2011 Kalkhan, Mohammed A. Spatial statistics : geospatial information modeling and thematic mapping / Mohammed A. Kalkhan Boca Raton, FL : CRC Press, 2011 xiv, 166 p., [2] p. of col. plates : ill., maps ; 24 cm. Includes bibliographical references and index 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 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 Spatial analysis (Statistics) Geospatial data Mathematical models 0 0 0 0 10000 10000 2019-09-04 162.74 0 QA278.2 .K35 2011 0000063633 2019-09-04 00:00:00 1 162.74 2019-09-04 OPEN VIRTUA40 55792 55798 VTLSSORT0080*0200*0201*0400*0900*1000*2450*2600*3000*5040*5050*5200*6500*6501*9991