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Spatial analysis for the social scie...

Darmofal, David, (1968-)

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Spatial analysis for the social sciences /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Spatial analysis for the social sciences // David Darmofal.
Author:	Darmofal, David,
Published:	New York, NY :Cambridge University Press, : c2015.,
Description:	xviii, 244 p. :ill., maps ;23 cm.
[NT 15003449]:	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.
Subject:	Spatial analysis (Statistics) -
ISBN:	9780521888264

Spatial analysis for the social sciences /
Darmofal, David,1968-

Spatial analysis for the social sciences /David Darmofal. - New York, NY :Cambridge University Press,c2015. - xviii, 244 p. :ill., maps ;23 cm. - Analytical methods for social research. - Analytical methods for social research..

Includes bibliographical references (p. 223-240) and index.

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.

"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."--Provided by publisher.

ISBN: 9780521888264GBP57.99

LCCN: 2015016112Subjects--Topical Terms:

520421
Spatial analysis (Statistics)

LC Class. No.: HA30.6 / D37 2015

Dewey Class. No.: 001.422

Spatial analysis for the social sciences /
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003 OCoLC
005 20160321022514.0
008 200708s2015 nyuab b 001 0 eng d
010 $a 2015016112
020 $a 9780521888264 $q (hbk.) : $c GBP57.99
020 $a 0521888263 $q (hbk.)
020 $a 9780521716383 $q (pbk.)
020 $a 0521716381 $q (pbk.)
020 $z 9781139051293 $q (ebk.)
035 $a (OCoLC)910802471
040 $a DLC $b eng $e aacr2 $c DLC $d YDX $d BTCTA $d OCLCF $d YDXCP $d CDX $d CHVBK $d OCLCO $d OCLCQ $d OCLCO
042 $a nbic
050 # 4 $a HA30.6 $b D37 2015
082 0 0 $a 001.422 $2 23
100 1 $a Darmofal, David, $d 1968- $3 3469696
245 1 0 $a Spatial analysis for the social sciences / $c David Darmofal.
260 # $a New York, NY : $b Cambridge University Press, $c c2015.
300 $a xviii, 244 p. : $b ill., maps ; $c 23 cm.
490 1 $a Analytical methods for social research
504 $a Includes bibliographical references (p. 223-240) and index.
505 8 # $a 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.
520 # $a "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."--Provided by publisher.
650 # 0 $a Spatial analysis (Statistics) $3 520421
650 # 0 $a Social sciences $x Research $x Methodology. $3 524282
830 0 $a Analytical methods for social research. $3 1605924