This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data.
Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to identify and measure the spatial, global and local dependency.
The authors then focus on autoregressive spatial models, to control the problem of spatial dependency between the residues of a basic linear statistical model, thereby contravening one of the basic hypotheses of the ordinary least squares approach.
This book is a popularized reference for students looking to work with spatialized data, but who do not have the advanced statistical theoretical basics.
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Jean DUBÉ is Professor in regional development at Laval University, Canada.
Diègo LEGROS is a lecturer in economics and management at the University of Burgundy, France.
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Gebunden. Zustand: New. This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data. Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations.Klappentext. Artikel-Nr. 448372862
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Zustand: New. This book offers a clear, highly readable introduction to spatial analyses about the disaggregated, or micro, spatial data. It presents the application of spatial analysis methods, while focusing on the recent developments in the field. Num Pages: 242 pages, black & white illustrations. BIC Classification: TJK; UNC. Category: (P) Professional & Vocational. Dimension: 240 x 158 x 19. Weight in Grams: 516. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9781848214682
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Buch. Zustand: Neu. Neuware - This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data. Artikel-Nr. 9781848214682
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