How do varying socio-economic driving forces affect China’s carbon emissions? New evidence from a multiscale geographically weighted regression model
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-021-13444-1
Abstract: The increase in carbon emissions has had great negative impacts on the healthy developments of the human environment and economic society. However, it is unclear how specific socio-economic factors are driving carbon emissions. Based on… read more here.
Keywords: carbon emissions; weighted regression; carbon; china carbon ... See more keywords
Mapping topsoil electrical conductivity by a mixed geographically weighted regression kriging: A case study in the Heihe River Basin, northwest China
Sign Up to like & getrecommendations! Published in 2019 at "Ecological Indicators"
DOI: 10.1016/j.ecolind.2019.02.038
Abstract: Abstract Spatial prediction is an important approach to obtain location-specific values of soil electrical conductivity (EC), which is a proxy of soil salinity and important for agricultural management in arid and semi-arid areas. Linear regression… read more here.
Keywords: regression; mixed geographically; geographically weighted; river basin ... See more keywords
Scale-adaptive estimation of mixed geographically weighted regression models
Sign Up to like & getrecommendations! Published in 2021 at "Economic Modelling"
DOI: 10.1016/j.econmod.2020.02.015
Abstract: Abstract 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 geo-referenced data analysis. Generally, different explanatory… read more here.
Keywords: weighted regression; estimation; scale adaptive; mixed geographically ... See more keywords
Geographical analysis of CO2 emissions in China's manufacturing industry: A geographically weighted regression model
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2017.08.052
Abstract: Abstract At present, China's carbon dioxide (CO 2 ) emissions ranked first in the world. Moreover, the CO 2 emissions in the manufacturing industry accounted for 55.0% of total CO 2 emissions. Thus, investigating the… read more here.
Keywords: weighted regression; manufacturing industry; regression; geographically weighted ... See more keywords
Prediction of soil salinity in the Yellow River Delta using geographically weighted regression
Sign Up to like & getrecommendations! Published in 2017 at "Archives of Agronomy and Soil Science"
DOI: 10.1080/03650340.2016.1249475
Abstract: ABSTRACT It is essential to determine the content and spatial distribution of soil salinity in a timely manner because soil salinization can cause land degradation on a regional scale. Geographically weighted regression (GWR) is a… read more here.
Keywords: soil; weighted regression; soil salinity; geographically weighted ... See more keywords
On the notion of ‘bandwidth’ in geographically weighted regression models of spatially varying processes
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2034829
Abstract: Abstract Models designed to capture spatially varying processes are now employed extensively in the social and environmental sciences. The main strength of such models is their ability to represent relationships that vary across locations through… read more here.
Keywords: notion bandwidth; geographically weighted; weighted regression; varying processes ... See more keywords
A linearization for stable and fast geographically weighted Poisson regression
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2023.2209811
Abstract: Although geographically weighted Poisson regression (GWPR) is a popular regression for spatially indexed count data, its development is relatively limited compared to that found for linear geographically weighted regression (GWR), where many extensions (e.g., multiscale… read more here.
Keywords: regression; weighted poisson; geographically weighted; gwpr ... See more keywords
Downscaling Land Surface Temperature Using Multiscale Geographically Weighted Regression Over Heterogeneous Landscapes in Wuhan, China
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2955551
Abstract: The deficiency of fine-resolution satellite-derived land surface temperature (LST) has impeded the meticulous exploration of the urban thermal environment at micro spatial scales. Although the LST downscaling methods are well-documented, the scale dependence between LST… read more here.
Keywords: regression; land surface; surface temperature; geographically weighted ... See more keywords
Spatial-Temporal Analysis of Injury Severity with Geographically Weighted Panel Logistic Regression Model
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Advanced Transportation"
DOI: 10.1155/2019/8521649
Abstract: This study is intended to investigate the influencing factors of injury severity by considering the heterogeneity issue of unobserved factors at different arterials and the spatial attributes in geographically weighted regression models. To achieve the… read more here.
Keywords: logistic regression; regression; injury severity; regression model ... See more keywords
Pedestrian Crash Exposure Analysis Using Alternative Geographically Weighted Regression Models
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Advanced Transportation"
DOI: 10.1155/2021/6667688
Abstract: In order to develop a sustainable, safe, and dynamic transportation system, proper attention must be paid to the safety of pedestrians. The purpose of this study is to analyze the surrogate measures related to pedestrian… read more here.
Keywords: pedestrian crash; regression; analysis; exposure ... See more keywords
Geographically Weighted Regression Analysis for Spatial Economics Data: A Bayesian Recourse
Sign Up to like & getrecommendations! Published in 2020 at "International Regional Science Review"
DOI: 10.1177/0160017620959823
Abstract: The geographically weighted regression (GWR) is a well-known statistical approach to explore spatial non-stationarity of the regression relationship in spatial data analysis. In this paper, we discuss a Bayesian recourse of GWR. Bayesian variable selection… read more here.
Keywords: weighted regression; methodology; analysis; geographically weighted ... See more keywords