gwverse: A Template for a New Generic Geographically Weighted R Package-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

gwverse: A Template for a New Generic Geographically Weighted R Package

Published:2022-06-28 Issue:3 Volume:54 Page:685-709
ISSN:0016-7363
Container-title:Geographical Analysis
language:en
Short-container-title:Geographical Analysis

Author:

Comber Alexis¹²^ORCID,Callaghan Martin³^ORCID,Harris Paul⁴^ORCID,Lu Binbin⁵^ORCID,Malleson Nick¹²^ORCID,Brunsdon Chris⁶^ORCID

Affiliation:

1. School of Geography University of Leeds Leeds UK

2. Leeds Institute for Data Analytics University of Leeds Leeds UK

3. School of Computing University of Leeds Leeds UK

4. Sustainable Agriculture Sciences North Wyke, Rothamsted Research Okehampton UK

5. School of Remote Sensing and Information Engineering Wuhan University Wuhan China

6. National Centre for Geocomputation Maynooth University Maynooth Ireland

Funder

British Academy

Natural Environment Research Council

Publisher

Wiley

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gean.12337

Reference67 articles.

1. Local Indicators of Spatial Association-LISA

2. Progress in the R ecosystem for representing and handling spatial data

3. Bivand R. D.Yu T.Nakaya M.‐A.Garcia‐Lopez andM. R.Bivand. (2020).“Package `Spgwr'.” R Software Package.

4. Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity

5. Geographically weighted summary statistics — a framework for localised exploratory data 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. GWmodelS: a standalone software to train geographically weighted models;Geo-spatial Information Science;2024-05

2. Multiscale spatially varying coefficient modelling using a Geographical Gaussian Process GAM;International Journal of Geographical Information Science;2023-10-27

3. A Rejoinder to the Commentaries on “A Route Map for Successful Applications of Geographically Weighted Regression” by Comber et al. (2022);Geographical Analysis;2022-11-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3