Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659969958 ISBN 13: 9783659969959
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Verlag: LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 3659969958 ISBN 13: 9783659969959
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Taschenbuch. Zustand: Neu. Neuware -GIS and remote sensing are geospatial technologies that have been used for many years in environmental studies, including gathering and analysing of information on the physical parameters of wildlife habitats. This book focuses on research in approaches for incorporating explicit handling of uncertainty, especially by fuzzy sets in order to develop suitability habitat of Asian elephant in GIS environment. The utilization distribution enables identification of significant elephant habitat parameters and prioritization of its criterion. This book is intended for the wildlife management and GIS community especially in MCE approaches where the fuzzy logic model is a generation and not a replacement for the better-known conceptual set theory of Boolean logic. The fusion of fuzzy logic within the GIS environment provides comprehensive facilities in Weighted Linear Combination procedure and improves the reliability of MCE output particularly on suitability evaluation.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.
Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659969958 ISBN 13: 9783659969959
Sprache: Englisch
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Taschenbuch. Zustand: Neu. Effectiveness of Fuzzy Logic for Multi Criteria Spatial Modeling | Study case: Suitability Habitat of Asian elephant | Suhaida Aini | Taschenbuch | 68 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659969959 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Verlag: LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 3659969958 ISBN 13: 9783659969959
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -GIS and remote sensing are geospatial technologies that have been used for many years in environmental studies, including gathering and analysing of information on the physical parameters of wildlife habitats. This book focuses on research in approaches for incorporating explicit handling of uncertainty, especially by fuzzy sets in order to develop suitability habitat of Asian elephant in GIS environment. The utilization distribution enables identification of significant elephant habitat parameters and prioritization of its criterion. This book is intended for the wildlife management and GIS community especially in MCE approaches where the fuzzy logic model is a generation and not a replacement for the better-known conceptual set theory of Boolean logic. The fusion of fuzzy logic within the GIS environment provides comprehensive facilities in Weighted Linear Combination procedure and improves the reliability of MCE output particularly on suitability evaluation. 68 pp. Englisch.
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ISBN 10: 3659969958 ISBN 13: 9783659969959
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Aini SuhaidaThe author is a research officer at the Malaysian Remote Sensing Agency since 2003. She involves in designing database, data verification and conducting research on spatial analysis and modeling for geospatial data. She s.
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Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659969958 ISBN 13: 9783659969959
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - GIS and remote sensing are geospatial technologies that have been used for many years in environmental studies, including gathering and analysing of information on the physical parameters of wildlife habitats. This book focuses on research in approaches for incorporating explicit handling of uncertainty, especially by fuzzy sets in order to develop suitability habitat of Asian elephant in GIS environment. The utilization distribution enables identification of significant elephant habitat parameters and prioritization of its criterion. This book is intended for the wildlife management and GIS community especially in MCE approaches where the fuzzy logic model is a generation and not a replacement for the better-known conceptual set theory of Boolean logic. The fusion of fuzzy logic within the GIS environment provides comprehensive facilities in Weighted Linear Combination procedure and improves the reliability of MCE output particularly on suitability evaluation.
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