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| Analysis of the relationship between community characteristics and depression using geographically weighted regression |
| Hyungyun Choi, Ho Kim |
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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 Applied Geography. 2012;32(2):737-745  Exploring the Relations Between Riverbank Erosion and Geomorphological Controls Using Geographically Weighted Logistic Regression Geographical Analysis. 2003;35(1):58-82 Spatial Analysis Of Foreign Migration In Poland In 2012 Using Geographically Weighted Regression Comparative Economic Research. 2014;17(4):137-154 Anisotropic Variance Functions in Geographically Weighted Regression Models Geographical Analysis. 2004;36(4):299-314 Multi-scale analysis of spatially varying relationships between agricultural landscape patterns and urbanization using geographically weighted regression Applied Geography. 2012;32(2):360-375 Exploring the Relations Between Riverbank Erosion and Geomorphological Controls Using Geographically Weighted Logistic Regression Geographical Analysis. 2003;35(1):58-82 Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (review) Geographical Analysis. 2003;35(3):272-275 A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial-Filter-Based Techniques Geographical Analysis. 2017;50(1):53-75 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 Regression, Geographically Weighted Encyclopedia of GIS. 2017;1760-1760 |
