2) mixed geographically weighted regression model 混和地理加权回归模型3) Geographically weighted regression 地理加权回归 1. The spatial change features of relations between the precipitation on the one hand and longitude,latitude and the altitude above sea level on the other hand are analysed by ...
In order to resolve this problem, we propose an improved method to establish the spatio-temporal deformation model using mixed geographically and temporally weighted regression (MGTWR). In this method, both the global regression coefficient and the variable regression coefficient are selected for ...
1) mixed geographically weighted regression 混合地理加权回归模型 2) mixing 混合 1. Analysis on themixingof pollutants in water current combining with waves; 波流环境中污染物混合的分析 2. Recent research progress inmixingof high viscous fluid; ...
Mixed geographically weighted regression (GWR) models, a combination of linear and spatially varying coefficient models, have found their applications in a variety of disciplines including economic modelling for georeferenced data analysis. Generally, different explanatory variables may operate at different ...
'Mixed Geographically Weighted Regression' (MGWR) has brought a new insight into urban studies in the field of house price modelling with a proper ... Y Shen,K Karimi 被引量: 8发表: 2015年 Measuring the real estate bubble: a house price index for Bilbao geographically weighted regressionThe...
Station level modeling is one of the ways to forecast metro ridership. Previous studies assume that the relationship between ridership and independent variables are either global or local, as indicated by global models or geographically weighted regression (GWR) model. This study explores the ...
Modeling of Spatial Distributions of Farmland Density and Its Temporal Change Using Geographically Weighted Regression Model . Chinese Geographical Science, 2014, 0(2): 191-204. doi: 10.1007/s11769-013-0631-8. Google Scholar [32] WANG Ni, XIE Jiancang, HAN Jichang. A Sand Control and ...
Temporal trend evaluation in monitoring programs with high spatial resolution and low temporal resolution using geographically weighted regression models 2023, Environmental Monitoring and Assessment A comparison of two bat detectors: which is most likely to detect New Zealand’s Chalinolobus tuberculatus?
(MLR) and geographically weighted regression (GWR).Sample data contains geo-referenced forest inventory data, CAIv (m3/ha/year) and V (m3/ha), extracted values from digital terrain model (altitude, slope and aspect) and derived principal components values from Landsat 8 satellite image for ...
High-Resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression 2016, IEEE Geoscience and Remote Sensing Letters A geographically and temporally weighted regression model for ground-level PM<inf>2.5</inf> estimation from satellite-derived 500 m resolution AOD ...