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Titlebook: Spatial Data Analysis; Models, Methods and Manfred M. Fischer,Jinfeng Wang Book 2011 Springer-Verlag Berlin Heidelberg 2011 Area Data.Orig

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發(fā)表于 2025-3-21 19:56:28 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Spatial Data Analysis
副標題Models, Methods and
編輯Manfred M. Fischer,Jinfeng Wang
視頻videohttp://file.papertrans.cn/874/873457/873457.mp4
概述The book helps the reader.Provides a quick overview of the best practice models, methods and techniques in spatial data analysis.Shows how to correctly interpret the results of spatial regression mode
叢書名稱SpringerBriefs in Regional Science
圖書封面Titlebook: Spatial Data Analysis; Models, Methods and  Manfred M. Fischer,Jinfeng Wang Book 2011 Springer-Verlag Berlin Heidelberg 2011 Area Data.Orig
描述The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.
出版日期Book 2011
關鍵詞Area Data; Origin-Destination Flow Data; Spatial Analysis; Spatial Econometrics; Spatial Statistics
版次1
doihttps://doi.org/10.1007/978-3-642-21720-3
isbn_softcover978-3-642-21719-7
isbn_ebook978-3-642-21720-3Series ISSN 2192-0427 Series E-ISSN 2192-0435
issn_series 2192-0427
copyrightSpringer-Verlag Berlin Heidelberg 2011
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發(fā)表于 2025-3-21 23:52:36 | 只看該作者
Introduction, knowledge, from a set of origins to a set of destinations—are relevant in studies of transport planning, population migration, journey-to work, shopping behaviour, freight flows, and the transmission of information and knowledge across space. We consider the issue of spatial autocorrelation in the
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Exploring Area Dataep package of the R project (downloadable from .). This package contains a collection of useful functions to create spatial weights matrix objects from polygon contiguities, and various tests for global and spatial autocorrelation (see Bivand et al. 2008).
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Spatial Interaction Models and Spatial Dependence). The second approach deals with spatial dependence by specifying a spatial process for the disturbance terms, structured to follow a (first order) spatial autoregressive process. In this framework, the spatial dependence resides in the disturbance process (see Fischer and Griffith (J Reg Sci 48(5)
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Manfred M. Fischer,Jinfeng Wangms thinking, an integrated approach to work design is sketched out with reference to healthcare. This approach allows for a more systematic treatment of complexity with its two main strategies of complexity reduction and complexity management. Finally, the transfer of this approach into teaching is
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n diversebioethical problems, whether dealing with genes, with people or theenvironment. In this way, .New Dimensions in. .Bioethics:Science, Ethics and the Formation of Public Policy., hopes tocontribute to the intellectual unity of the subject and to suggestchanges in the way bioethics can be taught and stu978-1-4613-5630-1978-1-4615-1591-3
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