Results 91 to 100 of about 10,807 (223)
Deep Spatially Varying Coefficient Model for Interpolation of Non‐Stationary Meteorological Data
Environmetrics, Volume 37, Issue 6, September 2026.ABSTRACT In spatial statistics, the spatially varying coefficient model (SVCM) is widely applied in the analysis and interpolation of non‐stationary spatial data. By incorporating spatially varying coefficients, the model can capture spatial heterogeneity and provide an attractive interpretation of response‐covariate associations.
Tong Wu, Nan Chen, Zhi‐Sheng Ye
wiley +1 more source
GIScience & Remote Sensing, 2018 The dynamic relationships between land use change and its driving forces vary spatially and can be identified by geographically weighted regression (GWR). We present a novel cellular automata (GWR-CA) model that incorporates GWR-derived spatially varying
Yongjiu Feng, Xiaohua Tong
doaj +1 more source
Land Degradation &Development, Volume 37, Issue 15, Page 11171-11185, September 2026.ABSTRACT Territorial spatial optimization is a key strategy to promote long‐term regional sustainable development. Although ant colony optimization (ACO) is widely used in territorial spatial optimization, it is prone to local optima and offers limited integration of spatial suitability and regional heterogeneity. To address these problems, an adaptive
Mingxin Li +3 more
wiley +1 more source
Regresi Terboboti Geografis untuk Analisis Pendapatan Asli Daerah Kabupaten/kota di Provinsi Aceh
, 2013 Original Local Government Revenue (PAD) is one of the important sources of income that has to be used optimally in order to decrease the dependency aid towards the central government and the provincial government.
Nufusia, Hanifatun
core
Spatial autocorrelation of standardized residual from GWR.
, 2023 Spatial autocorrelation of standardized residual from GWR.
Kow Ansah-Mensah (17020576) +3 more
core +1 more source
Land Degradation &Development, Volume 37, Issue 15, Page 11186-11206, September 2026.ABSTRACT Land spatial structure conflicts (LSSC) weaken the actual benefits of ecosystem services by inducing trade‐offs among them, directly threatening regional ecosystem health (EH) and sustainable development. However, most studies have failed to incorporate ecosystem service benefits (ESB) into EH assessments and have overlooked their response to ...
Weijie Li, Jinwen Kang
wiley +1 more source
Water Resources ResearchQuantification of groundwater recharge is highly important for understanding freshwater systems and sustainable management of both groundwater and surface water bodies, but it is very uncertain.
Wenhua Wan +2 more
doaj +1 more source
Jurnal LebesgueThis research aims to analyze the effect of population density, number of food stalls, and population on the number of homesteads using the Geographically Weighted Regression (GWR) model.
Deviani Deviani +4 more
doaj +1 more source
mgwrhw: Displays GWR (Geographically Weighted Regression) and Mixed GWR Output and Map
Display processing results using the GWR (Geographically Weighted Regression) method, display maps, and show the results of the Mixed GWR (Mixed Geographically Weighted Regression) model which automatically selects global variables based on variability between regions. This function refers to Yasin, & Purhadi. (2012).
openaire +1 more source
Evaluating Geographically Weighted Regression Models for Environmental Chemical Risk Analysis
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 +2 more
doaj +1 more source