UID:
edocfu_9961420902102883
Format:
1 online resource (248 pages) :
,
illustrations
ISBN:
1-07-184907-7
,
1-5443-0206-1
,
1-5443-0208-8
,
1-0718-4907-7
Content:
Spatial Regression Models for the Social Sciences shows researchers and students how to work with spatial data without the need for advanced mathematical statistics. Focusing on the methods that are commonly used by social scientists, Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it by connecting it to social science research topics. Throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us.
Note:
Introduction -- Exploratory spatial data analysis -- Models dealing with spatial dependence -- Advanced models dealing with spatial dependence -- Models dealing with spatial heterogeneity -- Models dealing with both spatial dependence and spatial heterogeneity -- Advanced spatial regression models -- Practical considerations for spatial data analysis.
Additional Edition:
ISBN 1-5443-0207-X
Language:
English
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