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.
本帖隐藏的内容
(ISTE) Jean Dubé, Di_go Legros-Spatial and Spatio-temporal Data Analysis-Wiley-.pdf
(2 MB, 需要: 2 个论坛币)
Series: ISTE
Hardcover: 242 pages
Publisher: Wiley-ISTE; 1 edition (October 6, 2014)
Language: English
ISBN-10: 1848214685
ISBN-13: 978-1848214682
Shipping Weight: 1.1 pounds
http://www.amazon.com/Spatial-Spatio-temporal-Data-Analysis-ISTE/dp/1848214685/ref=sr_1_2?ie=UTF8&qid=1412757959&sr=8-2&keywords=Spatial+and+Spatio-temporal+Data+Analysis


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