000			02083nam a2200265 a 4500
001			vtls000057148
003			KUKTEM
005			20251117150318.0
008			111212t2011 flua f 001 0 eng d
020			_a9781420069761
020			_a1420069764
039		9	_a201203131132 _basmadi _y201112121534 _zshah
040			_aUMP
090			_aQA278.2 .K35 2011
100	1		_aKalkhan, Mohammed A.
245	1	0	_aSpatial statistics : _bgeospatial information modeling and thematic mapping / _cMohammed A. Kalkhan
260			_aBoca Raton, FL : _bCRC Press, _c2011
300			_axiv, 166 p., [2] p. of col. plates : _bill., maps ; _c24 cm.
504			_aIncludes bibliographical references and index
505	0		_g1. _tGeospatial information technology -- _g2. _tData sampling methods and applications -- _g3. _tSpatial pattern and correlation statistics -- _g4. _tGeospatial analysis and modeling-mapping -- _g5. _tR statistical package -- _g6. _tWorking with geospatial information data
520			_aGeospatial 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
650		0	_aSpatial analysis (Statistics)
650		0	_aGeospatial data _xMathematical models
999			_aVIRTUA40 _c55792 _d55798
999			_aVTLSSORT0080*0200*0201*0400*0900*1000*2450*2600*3000*5040*5050*5200*6500*6501*9991