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Fischer, Manfred M.; Wang, Jinfeng - Spatial Data Analysis - 9783642217197 - V9783642217197
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Spatial Data Analysis

€ 94.57
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Description for Spatial Data Analysis Paperback. The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. This book provides an introduction into spatial data analysis to graduates interested in applied statistical research. Series: Springerbriefs in Regional Science. Num Pages: 88 pages, 5 black & white illustrations, 3 black & white tables, biography. BIC Classification: RBG; RGC; RGW. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 4. Weight in Grams: 142.
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 ... Read more

Product Details

Format
Paperback
Publication date
2011
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
88
Condition
New
Series
Springerbriefs in Regional Science
Number of Pages
80
Place of Publication
Berlin, Germany
ISBN
9783642217197
SKU
V9783642217197
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Spatial Data Analysis
From the reviews: “Fischer and Wang detail the models, methods, and techniques that can be employed to describe and explain the pattern and behaviour of variables distributed over geographic space. … This is a wholly useful text, aimed at quantitative geographers and spatial econometricians who … want to develop their skills further. It would be ideal for masters-level students ... Read more

Goodreads reviews for Spatial Data Analysis


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