000			03625nam a22004695i 4500
001			978-4-431-54000-7
003			DE-He213
005			20140220083333.0
007			cr nn 008mamaa
008			120706s2012 ja | s |||| 0|eng d
020			_a9784431540007 _9978-4-431-54000-7
024	7		_a10.1007/978-4-431-54000-7 _2doi
050		4	_aGA1-1776
072		7	_aRGW _2bicssc
072		7	_aSCI030000 _2bisacsh
072		7	_aTEC036000 _2bisacsh
082	0	4	_a910.285 _223
100	1		_aMurayama, Yuji. _eeditor.
245	1	0	_aProgress in Geospatial Analysis _h[electronic resource] / _cedited by Yuji Murayama.
264		1	_aTokyo : _bSpringer Japan : _bImprint: Springer, _c2012.
300			_aXII, 291 p. 90 illus., 64 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aFrom the Contents: Part I Geospatial Data Acquisition and Processing -- Multispectral Classification of Remote Sensing Data for Geospatial Analysis -- Part II Geospatial Theories and Methods -- Fuzzy Set Theory in Geospatial Analysis -- Spatial Prominence and Spatial Weights Matrix in Geospatial Analysis -- Geographically Weighted Regression in Geospatial Analysis -- Weight of Evidence in Geospatial Analysis -- Markov-Cellular Automata in Geospatial Analysis -- Multilayer Perceptron Neural Networks in Geospatial Analysis -- Part III Applications in Geospatial Analysis -- Urban Growth Modeling Using Bayesian Probability Function -- Land Suitability Assessment Using a Fuzzy Multi-Criteria Evaluation -- Neighborhood Interaction in Urban Land-Use Changes Using Cellular Automata-Based.
520			_aThis book examines current trends and developments in the methods and applications of geospatial analysis and highlights future development prospects. It provides a comprehensive discussion of remote sensing- and geographical information system (GIS)-based data processing techniques, current practices, theories, models, and applications of geospatial analysis. Data acquisition and processing techniques such as remote sensing image selections, classifications, accuracy assessments, models of GIS data, and spatial modeling processes are the focus of the first part of the book. In the second part, theories and methods related to fuzzy sets, spatial weights and prominence, geographically weighted regression, weight of evidence, Markov-cellular automata, artificial neural network, agent-based simulation, multi-criteria evaluation, analytic hierarchy process, and a GIS network model are included. Part three presents selected best practices in geospatial analysis. The chapters, all by expert authors, are arranged so that readers who are new to the field will gain an overview and important insights. Those readers who are already practitioners will gain from the advanced and updated materials and state-of-the-art developments in geospatial analysis.
650		0	_aGeography.
650		0	_aRemote sensing.
650		0	_aGeographical information systems.
650	1	4	_aGeography.
650	2	4	_aGeographical Information Systems/Cartography.
650	2	4	_aEarth Sciences, general.
650	2	4	_aInformation Systems Applications (incl. Internet).
650	2	4	_aRemote Sensing/Photogrammetry.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9784431539995
856	4	0	_uhttp://dx.doi.org/10.1007/978-4-431-54000-7
912			_aZDB-2-EES
999			_c104026 _d104026