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Analysis of the relationship between community characteristics and depression using geographically weighted regression
Hyungyun Choi, Ho Kim
Epidemiol Health. 2017;39:e2017025  Published online June 21, 2017
DOI: https://doi.org/10.4178/epih.e2017025

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Using multilevel modeling and geographically weighted regression to identify spatial variations in the relationship between place-level disadvantages and obesity in Taiwan
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Exploring the Relations Between Riverbank Erosion and Geomorphological Controls Using Geographically Weighted Logistic Regression
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Spatial Analysis Of Foreign Migration In Poland In 2012 Using Geographically Weighted Regression
Comparative Economic Research. 2014;17(4):137-154   Crossref logo
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Multi-scale analysis of spatially varying relationships between agricultural landscape patterns and urbanization using geographically weighted regression
Applied Geography. 2012;32(2):360-375   Crossref logo
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Exploring the Relations Between Riverbank Erosion and Geomorphological Controls Using Geographically Weighted Logistic Regression
Geographical Analysis. 2003;35(1):58-82   Crossref logo
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Anisotropic Variance Functions in Geographically Weighted Regression Models
Geographical Analysis. 2004;36(4):299-314   Crossref logo
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Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (review)
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A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial-Filter-Based Techniques
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Geographically weighted regression analysis of the spatially varying relationship between farming viability and contributing factors in Ohio
Regional Science Policy & Practice. 2013;6(1):69-83   Crossref logo
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Anisotropic Variance Functions in Geographically Weighted Regression Models
Geographical Analysis. 2004;36(4):299-314   Crossref logo
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