l<sub>0</sub>-Norm Variable Adaptive Selection for Geographically Weighted Regression Model-Reference-Cited by-同舟云学术

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l₀-Norm Variable Adaptive Selection for Geographically Weighted Regression Model

Published:2023-03-02 Issue:5 Volume:113 Page:1190-1206
ISSN:2469-4452
Container-title:Annals of the American Association of Geographers
language:en
Short-container-title:Annals of the American Association of Geographers

Author:

Wu Bo¹^ORCID,Yan Jinbiao²^ORCID,Cao Kai³

Affiliation:

1. School of Geography and Environment, Jiangxi Normal University, China

2. School of Geography and Environment, Jiangxi Normal University, China, and College of Geography and Tourism, Hengyang Normal University, China

3. School of Geographic Sciences, East China Normal University, China

Funder

Natural Science Foundation of China

Outstanding Youth Project of Education Department of Hunan Province

Publisher

Informa UK Limited

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/24694452.2022.2161988

Reference33 articles.

1. GIS-based spatial modeling of COVID-19 incidence rate in the continental United States

2. A Big Data–Based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore

3. Geographically Weighted Regression Modeling for Multiple Outcomes

4. A Review on Variable Selection in Regression Analysis

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of Ridge Ensemble Standardized Drought Index (RESDI) for improving drought characterization and future assessment;Environmental Monitoring and Assessment;2024-06-13

2. Modeling Spatial Anisotropic Relationships Using Gradient-Based Geographically Weighted Regression;Annals of the American Association of Geographers;2024-03-04

3. Exploring Multiscale Spatial Interactions: Multiscale Geographically Weighted Negative Binomial Regression;Annals of the American Association of Geographers;2024-02-06

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