Coverart for item
The Resource Spatial analysis for the social sciences, David Darmofal, University of South Carolina, (electronic resource)

Spatial analysis for the social sciences, David Darmofal, University of South Carolina, (electronic resource)

Label
Spatial analysis for the social sciences
Title
Spatial analysis for the social sciences
Statement of responsibility
David Darmofal, University of South Carolina
Creator
Subject
Language
eng
Summary
Many theories in the social sciences predict spatial dependence or the similarity of behaviors at neighboring locations. Spatial Analysis for the Social Sciences demonstrates how researchers can diagnose and model this spatial dependence and draw more valid inferences as a result. The book is structured around the well-known Galton's problem and presents a step-by-step guide to the application of spatial analysis. The book examines a variety of spatial diagnostics and models through a series of applied examples drawn from the social sciences. These include spatial lag models that capture behavioral diffusion between actors, spatial error models that account for spatial dependence in errors, and models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced spatial models for time-series cross-sectional data, categorical and limited dependent variables, count data, and survival data.--
Member of
Assigning source
Provided by publisher
Cataloging source
UkCbUP
http://library.link/vocab/creatorDate
1968-
http://library.link/vocab/creatorName
Darmofal, David
Index
index present
Literary form
non fiction
Nature of contents
dictionaries
Series statement
  • Analytical methods for social research
  • Cambridge Social Sciences eBooks
http://library.link/vocab/subjectName
  • Spatial analysis (Statistics)
  • Social sciences
Label
Spatial analysis for the social sciences, David Darmofal, University of South Carolina, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1017/CBO9781139051293
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Machine generated contents note: Part I. General Topics: 1. The social sciences and spatial analysis; 2. Defining neighbors via a spatial weights matrix; 3. Spatial autocorrelation and statistical inference; 4. Diagnosing spatial dependence; 5. Diagnosing spatial dependence in the presence of covariates; 6. Spatial lag and spatial error models; 7. Spatial heterogeneity; Part II. Advanced Topics: 8. Time-series-cross-section (TSCS) and panel data models; 9. Advanced spatial models; 10. Conclusion; Part III. Appendices on Implementing Spatial Analyses: 11. Getting data ready for a spatial analysis; 12. Spatial software; 13. Web resources for spatial analysis; 14. Glossary
Control code
CR9781139051293
Dimensions
unknown
Extent
1 online resource (xviii, 244 pages)
Form of item
online
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9780521888264
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
digital, PDF file(s).
Specific material designation
remote
System control number
(OCoLC)941030730
Label
Spatial analysis for the social sciences, David Darmofal, University of South Carolina, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1017/CBO9781139051293
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Machine generated contents note: Part I. General Topics: 1. The social sciences and spatial analysis; 2. Defining neighbors via a spatial weights matrix; 3. Spatial autocorrelation and statistical inference; 4. Diagnosing spatial dependence; 5. Diagnosing spatial dependence in the presence of covariates; 6. Spatial lag and spatial error models; 7. Spatial heterogeneity; Part II. Advanced Topics: 8. Time-series-cross-section (TSCS) and panel data models; 9. Advanced spatial models; 10. Conclusion; Part III. Appendices on Implementing Spatial Analyses: 11. Getting data ready for a spatial analysis; 12. Spatial software; 13. Web resources for spatial analysis; 14. Glossary
Control code
CR9781139051293
Dimensions
unknown
Extent
1 online resource (xviii, 244 pages)
Form of item
online
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9780521888264
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
digital, PDF file(s).
Specific material designation
remote
System control number
(OCoLC)941030730

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