Socioeconomic and environmental factors of poverty in China using geographically weighted random forest regression model 利用地理加权随机森林回归模型分析中国贫困的社会经济和环境因素 相关领域 社会经济地位 贫穷 随机森林 中国 地理加权回归模型 地理 回归分析
Thus, this research aims to propose a new model by combining the geographically weighted regression (GWR) technique with the certainty factor (CF) and random forest (RF) models to produce gully erosion zonation mapping. The proposed model was implemented in the Mahabia watershed of Iran, which ...
Geographically Weighted Regression Geographically weighted regression (GWR) is a local form of spatial analysis introduced in 1996 in the geographical literature drawing from statistical approaches for curve-fitting and smoothing applications. The method works based on the simple yet powerful idea of estima...
The Multiscale Geographically Weighted Regression tool provides two kernel options in the Local Weighting Scheme parameter: Gaussian and Bisquare. To learn more about geographic weighting with kernels, see How Geographically Weighted Regression works. In MGWR, the weighting bandwidth var...
Modeling Earth Systems and Environment (2023) 9:3923–3937 https://doi.org/10.1007/s40808-023-01729-y ORIGINAL ARTICLE Integration of Moran's I, geographically weighted regression (GWR), and ordinary least square (OLS) models in spatiotemporal modeling of COVID‑19 outbreak in ...
(AP), average wind speed (AW) and average rainfall (AR)), child population density (CPD) and Per capita GDP (GDP) in Inner Mongolia Autonomous Region, China, and to detect the variation of influence in different seasons and counties, geographically weighted regression (GWR) model was ...
Geographically Weighted Regression Formula: y = β0+ (β1× x1) + (β2× x2) + … + (βn× xn) + Ε Spatial Regression Analysis in ArcGIS Let’s put the ArcGIS regression tools in action by building a habitat suitability index (HSI) – also known as aResource Selection Function (...
(5) Thus, the value of the response variable at an unknown location can be predicted as a similarity-weighted mean value Zˆ (vβ ) = m α=1 S (uα , vβ )Z (uα m α=1 S (uα , vβ ) ) , (6) where Zˆ (vβ ) is equivalent to the BCS-based prediction at ...
Geographically and temporally weighted regression Random forest Land-use regression 1. Introduction Ambient air pollution contributes to around 7 million deaths mainly from non-communicable diseases (World Health Organization, 2021). To better understand the health effects of air pollution exposure, cohort...
Geographical and temporal weighted regression (GTWR) Driving factors 1. Introduction Vegetation is the most crucial element in the terrestrial ecosystem, playing a vital role in the global carbon cycle and energy conversion (Yang et al., 2021). It also serves as a sensitive indicator for monitorin...