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PEMILIHAN VARIABEL PADA MODEL GEOGRAPHICALLY WEIGHTED REGRESSION [PDF]

Media Statistika, 2011
Regression analysis is a statistical analysis that aims to model the relationship between response variable with some predictor variables. Geographically Weighted Regression (GWR) is statistical method used for analyzed the spatial data in local form of ...
Hasbi Yasin
doaj   +2 more sources

Evaluating Geographically Weighted Regression Models for Environmental Chemical Risk Analysis [PDF]

Cancer Informatics, 2015
In the evaluation of cancer risk related to environmental chemical exposures, the effect of many correlated chemicals on disease is often of interest. The relationship between correlated environmental chemicals and health effects is not always constant ...
Jenna Czarnota, David C. Wheeler, Chris Gennings   +2 more
doaj   +5 more sources

A modification to geographically weighted regression [PDF]

International Journal of Health Geographics, 2017
Background Geographically weighted regression (GWR) is a modelling technique designed to deal with spatial non-stationarity, e.g., the mean values vary by locations. It has been widely used as a visualization tool to explore the patterns of spatial data.
Yin-Yee Leong, Jack C. Yue
doaj   +4 more sources

Pemodelan angka kematian bayi di Indonesia menggunakan Geographically Weighted Regression (GWR) dan Mixed Geographically Weighted Regression (MGWR)

Majalah Ilmiah Matematika dan Statistika, 2022
The Infant Mortality Rate (IMR) is fundamental indicator that reflects the health status in the surrounding community. The Infant Mortality Rate is still categorized as high in Indonesia.
Muhammad Marizal, Kartika Anjani Monalisa   +1 more
doaj   +2 more sources

Non-Iterative Multiscale Estimation for Spatial Autoregressive Geographically Weighted Regression Models [PDF]

Entropy, 2023
Multiscale estimation for geographically weighted regression (GWR) and the related models has attracted much attention due to their superiority. This kind of estimation method will not only improve the accuracy of the coefficient estimators but also ...
Shi-Jie Gao, Chang-Lin Mei, Qiu-Xia Xu, Zhi Zhang   +3 more
doaj   +2 more sources

Bayesian cluster geographically weighted regression for spatial heterogeneous data [PDF]

Royal Society Open Science
Spatial statistical models are commonly used in geographical scenarios to ensure spatial variation is captured effectively. However, spatial models and cluster algorithms can be complicated and expensive.
Wala Draidi Areed, Aiden Price, Helen Thompson, Conor Hassan, Reid Malseed, Kerrie Mengersen   +5 more
doaj   +2 more sources

Geographical and temporal weighted regression (GTWR) [PDF]

Geographical Analysis, 2015
Both space and time are fundamental in human activities as well as in various physical processes. Spatiotemporal analysis and modeling has long been a major concern of geographical information science (GIScience), environmental science, hydrology ...
Andrienko, Artelaris, Atkinson, Bitter, Brunsdon, Brunsdon, Brunsdon, Buyantuyev, Chen, Comber, Crespo, Cressie, Cressie, Demšar, Elhorst, Fotheringham, Fotheringham, Fotheringham, Gelfand, Giacinto, Goodchild, Harris, Huang, Hägerstrand, Kwan, Kwan, Malczewskia, Mennis, Nakaya, Nakaya, Pace, Pace, Rey, Takahashi, Tobler, Wheeler, Wrenn, Wu, Wu, Yu   +39 more
core   +4 more sources

Adaptively robust geographically weighted regression [PDF]

Spatial Statistics, 2022
22 ...
Shonosuke Sugasawa, Daisuke Murakami
openaire   +2 more sources

Simulating the Spatial Heterogeneity of Housing Prices in Wuhan, China, by Regionally Geographically Weighted Regression

ISPRS International Journal of Geo-Information, 2022
Geographically weighted regression (GWR) is an effective method for detecting spatial non-stationary features based on the hypothesis of proximity correlation.
Zengzheng Wang, Yangyang Zhao, Fuhao Zhang   +2 more
doaj   +1 more source

GeoWeightedModel : An R-Shiny package for Geographically Weighted Models

SoftwareX, 2022
This paper describes GeoWeightedModel, a R package, which provides a graphical user friendly web application to perform techniques from a subarea of spatial Statistics known as Geographically Weighted (GW) models, such as Geographically Weighted ...
Javier De La Hoz-M, Susana Mendes, María José Fernandez-Gómez   +2 more
doaj   +1 more source