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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 Geographically Weighted Regression to Assess the Relationship Between Weather and Sociodemographic Indicators and COVID-19 Infection in Iraq . 2021;  Does the relationship between racial, ethnic, and income diversity and social capital vary across the United States? A county-level analysis using geographically weighted regression Applied Geography. 2021;130:102446 Is there a relationship between economic indicators and road fatalities in Texas? A multiscale geographically weighted regression analysis GeoJournal. 2020;86(6):2787-2807 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 Estimation of Error Variance-Covariance Parameters Using Multivariate Geographically Weighted Regression Model Abstract and Applied Analysis. 2020;2020:1-5 Geographically weighted regression based quantification of rainfall-topography relationship and rainfall gradient in Central Himalayas International Journal of Climatology. 2016;37(3):1299-1309 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 Exploring the Relations Between Riverbank Erosion and Geomorphological Controls Using Geographically Weighted Logistic Regression Geographical Analysis. 2003;35(1):58-82 Multi-scale analysis of spatially varying relationships between agricultural landscape patterns and urbanization using geographically weighted regression Applied Geography. 2012;32(2):360-375 |
