4.5 Article

MGWR: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Geography

Inference in Multiscale Geographically Weighted Regression

Hanchen Yu et al.

GEOGRAPHICAL ANALYSIS (2020)

Article Environmental Studies

Distance metric choice can both reduce and induce collinearity in geographically weighted regression

Alexis Comber et al.

ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE (2020)

Article Computer Science, Information Systems

Fast Geographically Weighted Regression (FastGWR): a scalable algorithm to investigate spatial process heterogeneity in millions of observations

Ziqi Li et al.

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2019)

Article Geography

The Importance of Scale in Spatially Varying Coefficient Modeling

Daisuke Murakami et al.

ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS (2019)

Article Computer Science, Interdisciplinary Applications

Improvements to the calibration of a geographically weighted regression with parameter-specific distance metrics and bandwidths

Binbin Lu et al.

COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2018)

Article Computer Science, Information Systems

Geographically weighted regression with parameter-specific distance metrics

Binbin Lu et al.

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2017)

Article Geography

Geographically weighted regression and multicollinearity: dispelling the myth

A. Stewart Fotheringham et al.

JOURNAL OF GEOGRAPHICAL SYSTEMS (2016)

Article Geography

The Multiple Testing Issue in Geographically Weighted Regression

Alan Ricardo da Silva et al.

GEOGRAPHICAL ANALYSIS (2016)

Article Environmental Studies

Spatial-filtering-based contributions to a critique of geographically weighted regression (GWR)

Daniel A. Griffith

ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE (2008)

Article Environmental Studies

Diagnostic tools and a remedial method for collinearity in geographically weighted regression

David C. Wheeler

ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE (2007)

Article Social Sciences, Interdisciplinary

A caution regarding rules of thumb for variance inflation factors

Robert M. O'Brien

QUALITY & QUANTITY (2007)