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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
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Modeling the Flood Disaster in South Kalimantan Using Geographically Weighted Regression and Mixed Geographically Weighted Regression [PDF]
ITM Web of ConferencesThe flood disaster in South Kalimantan is a crucial problem that needs to be addressed because the impact is relatively severe. So, this study aims to model flood disasters in South Kalimantan based on factors suspected to be the cause, including ...
Farida Yuniar +6 more
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Spatial Analysis of Housing Prices and Market Activity with the Geographically Weighted Regression
ISPRS International Journal of Geo-Information, 2020 The main part of the study will be to demonstrate that models taking into account spatial heterogeneity (Geographically Weighted Regression and Mixed Geographically Weighted Regression) which reproduce housing market determinants better reflect market ...
Radosław Cellmer +2 more
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Bayesian cluster geographically weighted regression for spatial heterogeneous data [PDF]
Royal Society Open ScienceSpatial 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 +5 more
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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 +1 more
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Adaptively robust geographically weighted regression [PDF]
Spatial Statistics, 2022 22 ...
Shonosuke Sugasawa, Daisuke Murakami
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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 +2 more
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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 +2 more
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High-performance solutions of geographically weighted regression in R
Geo-spatial Information Science, 2022 As an established spatial analytical tool, Geographically Weighted Regression (GWR) has been applied across a variety of disciplines. However, its usage can be challenging for large datasets, which are increasingly prevalent in today’s digital world.
Binbin Lu +6 more
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Indian Journal of Public Health, 2022 Indonesia ranks third with the most leprosy cases globally. East Java is the province that has the highest leprosy cases. The Provincial Government socialized the East Java Leprosy Eradication Program, which targets a maximum of one leprosy case per 10 ...
Husnul Chotimah, I G N. Mindra Jaya
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