Spatial Regression Models for Demographic Analysis

While spatial data analysis has received increasing attention in demographic studies, it remains a difficult subject to learn for practitioners due to its complexity and various unresolved issues. Here we give a practical guide to spatial demographic analysis, with a focus on the use of spatial regr...

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Vydáno v:	Population research and policy review Ročník 27; číslo 1; s. 17 - 42
Hlavní autoři:	Chi, Guangqing, Zhu, Jun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Dordrecht Springer 01.02.2008 Springer Netherlands Springer Nature B.V
Edice:	Population Research and Policy Review
Témata:	Autocorrelation Case studies Data analysis Demographic analysis Demographic change Demographic transition theory Demographics Demography Ecology Econometrics Geography Geostatistics Human ecology Implicit theories Linear regression Mathematical models Migration Modeling Neighborhoods Population Population dynamics Population Economics Regression analysis Science Segregation Social Sciences Sociology Soil sciences Spatial Analysis Spatial autocorrelation and heterogeneity Spatial data Spatial data analysis Spatial demographic analysis Spatial models Spatial regression Spatial weight matrix Studies U.S.A Wisconsin United States > US Wisconsin Spatial weight matrix Spatial data analysis Spatial regression Spatial autocorrelation and heterogeneity Spatial demographic analysis
ISSN:	0167-5923, 1573-7829
On-line přístup:	Získat plný text
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