Inference in Multiscale Geographically Weighted Regression

By Hanchen Yu, A. Stewart Fotheringham, Ziqi Li, Taylor M. Oshan, Wei Kang, Levi John Wolf. Geographical Analysis, 2019

371 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ebfc91754c57f4eb422d09ac59b2b0aef25f9719

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. A. Stewart Fotheringham
2. Levi John Wolf
3. Wei Kang
4. Taylor M. Oshan
5. Ziqi Li

In Statistics and Probability

1. Taylor M. Oshan
2. A. Stewart Fotheringham

Citations in the corpus

• mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale (2018, methodology): “This novel methodology is described in [7] and the necessary functionality is not currently available in other software implementations other than mgwr.”