This 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.
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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.
This 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.
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Buch. Zustand: Neu. Neuware -This 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 304 pp. Englisch. Artikel-Nr. 9784431539995
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9784431539995
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