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Titlebook: GeoComputational Modelling; Techniques and Appli Manfred M. Fischer,Yee Leung Book 2001 Springer-Verlag Berlin Heidelberg 2001 Computer.Geo

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發(fā)表于 2025-3-21 19:45:51 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱GeoComputational Modelling
副標題Techniques and Appli
編輯Manfred M. Fischer,Yee Leung
視頻videohttp://file.papertrans.cn/384/383044/383044.mp4
概述Illustrates some recent developments in the field of geocomputational modelling and aims to disseminate recent research into graduate classrooms.Establishes general principles and builds solid foundat
叢書名稱Advances in Spatial Science
圖書封面Titlebook: GeoComputational Modelling; Techniques and Appli Manfred M. Fischer,Yee Leung Book 2001 Springer-Verlag Berlin Heidelberg 2001 Computer.Geo
描述Geocomputation may be viewed as the application of a computational science paradigm to study a wide range of problems in geographical systems contexts..This volume presents a clear, comprehensive and thoroughly state-of-the-art overview of current research, written by leading figures in the field..It provides important insights into this new and rapidly developing field and attempts to establish the principles, and to develop techniques for solving real world problems in a wide array of application domains with a catalyst to greater understanding of what geocomputation is and what it entails..The broad coverage makes it invaluable reading for resarchers and professionals in geography, environmental and economic sciences as well as for graduate students of spatial science and computer science..
出版日期Book 2001
關鍵詞Computer; GeoComputation; Import; calculus; cellular automata; computational technologies; computer scienc
版次1
doihttps://doi.org/10.1007/978-3-662-04637-1
isbn_softcover978-3-642-07549-0
isbn_ebook978-3-662-04637-1Series ISSN 1430-9602 Series E-ISSN 2197-9375
issn_series 1430-9602
copyrightSpringer-Verlag Berlin Heidelberg 2001
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發(fā)表于 2025-3-21 21:37:55 | 只看該作者
Damaris Helene Wikramanayake Ph.D.ensing [RS] data, is stimulating increasing interest in spatial analysis from outside the spatial sciences. The recognition of the spatial dimension in social science research sometimes yields different and more meaningful results than analysis that ignores it.
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https://doi.org/10.1007/978-1-349-72520-5between theoretically based research activities and real world applications. Especially in the field of social sciences, worthwhile applications of computational neural networks [CNNs] are the exception rather than the rule.
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Spatial Pattern Recognition in Remote Sensing by Neural Networksy (1990) and Hepner et al. (1990), they have grown significantly in popularity as tools for the analysis of remote sensing data, primarily for the purpose of deriving spatial information used in environmental management. This popularity is due to several factors:
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978-3-642-07549-0Springer-Verlag Berlin Heidelberg 2001
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GeoComputational Modelling978-3-662-04637-1Series ISSN 1430-9602 Series E-ISSN 2197-9375
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