 |
| CrossRef Text and Data Mining |
| Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
| 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 |
|
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 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 Anisotropic Variance Functions in Geographically Weighted Regression Models Geographical Analysis. 2004;36(4):299-314 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 Anisotropic Variance Functions in Geographically Weighted Regression Models Geographical Analysis. 2004;36(4):299-314 |
