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Short‐Term Rental Platform in the Urban Tourism Context: A Geographically Weighted Regression (GWR) and a Multiscale GWR (MGWR) Approaches [PDF]

open access: yesGeographical Analysis, 2020
This article contributes to advancing the knowledge on the phenomenon of the most popular short-term rental platforms, Airbnb. By implementing a geographically weighted regression (GWR) and its multiscale form, MGWR, we examine the relationship between ...
Zahratu Shabrina   +2 more
semanticscholar   +4 more sources

A-GWR: Fast and Accurate Geospatial Inference via Augmented Geographically Weighted Regression [PDF]

open access: yesProceedings of the 29th International Conference on Advances in Geographic Information Systems, 2021
Geographically Weighted Regression (GWR) is a seminal technique with rich applications in geospatial data analysis. However, it has critical drawbacks in the age of big data in terms of expressiveness, i.e., predictive power, and scalability.
Mohammad Reza Zare Shahneh   +2 more
semanticscholar   +2 more sources

Spatial Analysis Of Foreign Migration In Poland In 2012 Using Geographically Weighted Regression [PDF]

open access: yesComparative Economic Research, 2014
Migration has a principal influence on countries’ population changes. Thus, the issues connected with the causes, effects and directions of people’s movements are a common topic of political and academic discussions.
Karolina Lewandowska-Gwarda
doaj   +4 more sources

Spatial Estimation of Regional PM2.5 Concentrations with GWR Models Using PCA and RBF Interpolation Optimization

open access: yesRemote Sensing, 2022
In recent years, geographically weighted regression (GWR) models have been widely used to address the spatial heterogeneity and spatial autocorrelation of PM2.5, but these studies have not fully considered the effects of all potential variables on PM2.5 ...
Youbing Tang   +6 more
doaj   +2 more sources

Spatial analysis of land subsidence and groundwater loss using the GWR model (Case study: Noorabad Mamasani aquifer,) [PDF]

open access: yesنشریه جغرافیا و برنامه‌ریزی, 2021
Introduction Today, the phenomenon of land subsidence is one of the most important geomorphological hazards on a global scale, which causes great damage to urban and rural structures, development facilities.
najmeh shafiei   +3 more
doaj   +1 more source

The Impact of Seasonal Vegetation Changes on Retention and Yield of Sediment Across the Tajan Watershed in Sari, Northern Iran [PDF]

open access: yesSustainable Earth Trends, 2023
Sediment retention (SR) and sediment yield (SY) are regulatory ecosystem services that would change due to seasonal vegetation conditions in a region. This study aimed to investigate the SR and SY in the Tajan watershed in Mazandaran Province, northern ...
Mohammad Rahmani   +2 more
doaj   +1 more source

Integration of Moran’s I, geographically weighted regression (GWR), and ordinary least square (OLS) models in spatiotemporal modeling of COVID-19 outbreak in Qom and Mazandaran Provinces, Iran

open access: yesModeling Earth Systems and Environment, 2023
Globally, the COVID-19 pandemic is a top-level public health concern. This paper attempts to identify the COVID-19 pandemic in Qom and Mazandaran provinces, Iran using spatial analysis approaches. This study was based on secondary data of confirmed cases
Vahid Isazade   +4 more
semanticscholar   +1 more source

EARLY MARRIAGE MODELING IN WEST JAVA USING GEOGRAPHICALLY WEIGHTED REGRESSION

open access: yesJurnal Biometrika dan Kependudukan, 2023
Woman early marriage defined as a marriage that happens to a woman under 16 years. Early marriage can affect the mother's and baby's health. Free sex, education, and poverty remain the three significant factors of early marriage.
Marnita Simatupang
doaj   +1 more source

CLASSIFICATION OF STUNTING USING GEOGRAPHICALLY WEIGHTED REGRESSION-KRIGING CASE STUDY: STUNTING IN EAST JAVA

open access: yesBarekeng, 2023
Geographically Weighted Regression Kriging (GWRK) is a special case of Geographically Weighted Regression (GWR) model, which is modeling with the effect of spatial autocorrelation on the GWR model error.
Atiek Iriany   +3 more
doaj   +1 more source

Analyzing Driving Factors of Drought in Growing Season in the Inner Mongolia Based on Geodetector and GWR Models

open access: yesRemote Sensing, 2022
As an important ecological security barrier in northern China, the Inner Mongolia Autonomous Region (hereinafter referred to as Inner Mongolia) is seriously affected by drought.
Bowen Ji   +6 more
semanticscholar   +1 more source

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