A response to "A comment on geographically weighted regression with parameter-specific distance metrics'

被引：20

作者：

Lu, Binbin ^{[1
]}

Brunsdon, Chris ^{[2
]}

Charlton, Martin ^{[2
]}

Harris, Paul ^{[3
]}

机构：

[1] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan, Hubei, Peoples R China

[2] Maynooth Univ, Natl Ctr Geocomputat, Maynooth, Co Kildare, Ireland

[3] Rothamsted Res, Sustainable Soils & Grassland Syst, Okehampton EX20 2SB, Devon, England

来源：

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE | 2019年 / 33卷 / 07期

基金：

中国国家自然科学基金; 英国生物技术与生命科学研究理事会;

关键词：

Multiscale; GWmodel; local regression; spatial heterogeneity; GWR; MODELS; COEFFICIENTS;

D O I：

10.1080/13658816.2019.1585541

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article, we respond to A comment on geographically weighted regression with parameter-specific distance metrics' by Oshan et al. (2019), published in this journal, where several concerns on the parameter-specific distance metric geographically weighted regression (PSDM GWR) technique are raised. In doing so, we review the developmental timeline of the multiscale geographically weighed regression modelling framework with related and equivalent models, including flexible bandwidth GWR, conditional GWR and PSDM GWR. In our response, we have tried to answer all the concerns raised in terms of applicability, veracity, interpretability and computational efficiency of the PSDM GWR model.

引用

页码：1300 / 1312

页数：13

共 46 条

[31] Anticipation of Land Use Change Through Use of Geographically Weighted Regression Models for Discrete Response
Wang, Yiyi
Kockelman, Kara M.
Wang, Xiaokun
TRANSPORTATION RESEARCH RECORD, 2011, (2245) : 111 - 123
[32] A Comment on "A Route Map for Successful Applications of Geographically-Weighted Regression": The Alternative Expressway to Defensible Regression-Based Local Modeling
Fotheringham, A. Stewart
GEOGRAPHICAL ANALYSIS, 2023, 55 (01) : 191 - 197
[33] Use of Geographically Weighted Poisson Regression to examine the effect of distance on Tuberculosis incidence: A case study in Nam Dinh, Vietnam
Long Viet Bui
Mor, Zohar
Chemtob, Daniel
Son Thai Ha
Levine, Hagai
PLOS ONE, 2018, 13 (11):
[34] Geographically weighted regression with a non- Euclidean distance metric: a case study using hedonic house price data
Lu, Binbin
Charlton, Martin
Harris, Paul
Fotheringham, A. Stewart
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2014, 28 (04) : 660 - 681
[35] Geographically weighted regression model-calibration for finite population parameter estimation under two stage sampling design
Saha, Bappa
Biswas, Ankur
Ahmad, Tauqueer
Misra Sahoo, Prachi
Aditya, Kaustav
Paul, Nobin Chandra
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2024,
[36] Vegetation EVI changes and response to natural factors and human activities based on geographically and temporally weighted regression
Wang, Guangjie
Peng, Wenfu
Zhang, Lindan
Zhang, Ji
Xiang, Jiayao
GLOBAL ECOLOGY AND CONSERVATION, 2023, 45
[37] Geographically weighted regression models for ordinal categorical response variables: An application to geo-referenced life satisfaction data
Dong, Guanpeng
Nakaya, Tomoki
Brunsdon, Chris
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2018, 70 : 35 - 42
[38] A network-distance-based geographically weighted regression model to examine spatiotemporal effects of station-level built environments on metro ridership
Gao, Fan
Yang, Linchuan
Han, Chunyang
Tang, Jinjun
Li, Zhitao
JOURNAL OF TRANSPORT GEOGRAPHY, 2022, 105
[39] Parameter Estimation Through Weighted Least-Squares Rank Regression with Specific Reference to the Weibull and Gumbel Distributions
van Zyl, J. Martin
Schall, Robert
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2012, 41 (09) : 1654 - 1666
[40] Spatial Distribution of Type 2 Diabetes Mellitus in Berlin: Application of a Geographically Weighted Regression Analysis to Identify Location-Specific Risk Groups
Kauhl, Boris
Pieper, Jonas
Schweikart, Juergen
Keste, Andrea
Moskwyn, Marita
GESUNDHEITSWESEN, 2018, 80 : S64 - S70

← 1 2 3 4 5 →