This book examines the current development trends on methods and application of geospatial analysis and highlights future development prospects. It aims to provide a comprehensive discussion that includes Remote Sensing and GIS based data processing techniques, current practices on theories, models, and applications of geospatial analysis in geography. This book is written for academics, researchers, practitioners, and advanced graduate students. It will be designed to be read by those new or starting out in the field of geospatial analysis as well as by those who are already familiar with the…mehr
This book examines the current development trends on methods and application of geospatial analysis and highlights future development prospects. It aims to provide a comprehensive discussion that includes Remote Sensing and GIS based data processing techniques, current practices on theories, models, and applications of geospatial analysis in geography. This book is written for academics, researchers, practitioners, and advanced graduate students. It will be designed to be read by those new or starting out in the field of geospatial analysis as well as by those who are already familiar with the field. The chapters have been selected from the experienced authors in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and updated materials and state-of-the-art developments in the geospatial analysis. Data acquisition and processing techniques such as remote sensing image selections, classifications, accuracy assessments, models of GIS data model and spatial modeling process will be highlighted in the first part. In the second part, theories and methods including GIS network model, artificial neural network, Markov-CA, fuzzy sets, weight of evidence, spatial autocorrelations, geographically weighted regression, multi-criteria GIS analysis models, agent based models, and spatial visualization will be included. Part three will present selected best practices on geospatial analysis.
Artikelnr. des Verlages: 80044787, 978-4-431-53999-5
2012
Seitenzahl: 304
Erscheinungstermin: 7. Juli 2012
Englisch
Abmessung: 241mm x 160mm x 21mm
Gewicht: 588g
ISBN-13: 9784431539995
ISBN-10: 4431539999
Artikelnr.: 33243017
Herstellerkennzeichnung
Die Herstellerinformationen sind derzeit nicht verfügbar.
Autorenporträt
Yuji Murayama, Professor, Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba, Japan. Email: mura@geoenv.tsukuba.ac.jp, Web: http://giswin.geo.tsukuba.ac.jp/sis/en/faculty.html. Books published: Murayama, Y. and Thapa, R. B. eds. (2011). Spatial Analysis and Modeling in Geographical Transformation Process: GIS-based Application. Dordrecht: Springer, 300p. Kamusoko, C., Mundia, C. N. and Murayama, Y. eds. (2011). Recent Advances in Remote Sensing and GIS in Sub-Sahara Africa. New York: Nova publishers. Murayama, Y. and Du, G. eds. (2005). Cities in Global Perspective: Diversity and Transition. Tokyo: College of Tourism, Rikkyo University with IGU Commission, 626p. Murayama, Y. (2000). Japanese Urban System. Dordrecht: Kluwer Publishers, 271p. Murayama, Y. (1991). Spatial Structure of Traffic Flows. Tokyo: Kokon-Shoin, 311p.
Inhaltsangabe
From 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.
From 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.
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