Inference in Multiscale Geographically Weighted Regression-Reference-Cited by-同舟云学术

Inference in Multiscale Geographically Weighted Regression

Published:2019-01-22 Issue:1 Volume:52 Page:87-106
ISSN:0016-7363
Container-title:Geographical Analysis
language:en
Short-container-title:Geogr Anal

Author:

Yu Hanchen¹,Fotheringham A. Stewart²,Li Ziqi²,Oshan Taylor³,Kang Wei⁴,Wolf Levi John⁵

Affiliation:

1. School of Government Peking University Beijing PRC

2. Spatial Analysis Research Center, School of Geographical Sciences and Urban Planning Arizona State University Tempe AZ USA

3. Center for Geospatial Information Science, Department of Geographical Sciences University of Maryland College Park MD USA

4. Center for Geospatial Sciences, School of Public policy University of California Riverside CA USA

5. School of Geographical Sciences University of Bristol Bristol UK

Funder

National Science Foundation

Publisher

Wiley

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gean.12189

Reference21 articles.

1. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing;Benjamini Y.;Journal of the Royal Statistical Society B,1995

2. The control of the false discovery rate in multiple testing under dependency

3. Linear Smoothers and Additive Models

4. Generating Models by the Expansion Method: Applications to Geographical Research*

5. Robust Locally Weighted Regression and Smoothing Scatterplots

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