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Spatial Regression Models

Gleditsch, K and Ward, MD (2008) Spatial Regression Models. Quantitative Applications in the Social Sciences, 155 . Sage Publications Inc., Thousand Oaks, CA, US.

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Abstract

Spatial Regression Models illustrates the use of spatial analysis in the social sciences. The text includes sections that cover different modeling-related topics: mapping and making projections; doing exploratory spatial data analysis; working with models which have lagged endogenous right-handed side variables; using spatial error correction models; employing conditionally autoregressive models; and dealing with over-time panels exhibiting spatial structures. Each of the modeling-based discussions includes separate delineations of how to proceed when dealing with main variables that are quantitative as well as qualitative. In each section, the authors employ prominent and diverse examples, introducing readers to key literature in the field. The examples are presented along with relevant data and programs written in the R, which illustrate exactly how to undertake the analyses described. The book ends with a chapter that covers techniques for presenting spatial information.

Item Type: Book
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
Divisions: Faculty of Social Sciences
Faculty of Social Sciences > Government, Department of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 10 Oct 2013 09:52
Last Modified: 15 Jan 2022 01:18
URI: http://repository.essex.ac.uk/id/eprint/8056

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