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