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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…
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Keywords:
carbon emissions;
weighted regression;
carbon;
china carbon ... See more keywords
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Published in 2019 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2019.06.052
Abstract: Abstract The adverse health effects of volatile organic compounds (VOCs) highlight the need of spatiotemporal models to assess exposure for epidemiological studies. Herein, a geographically and temporally weighted regression (GTWR) model was developed to estimate…
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Keywords:
volatile organic;
temporally weighted;
model;
district ... See more keywords
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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…
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Keywords:
regression;
mixed geographically;
geographically weighted;
river basin ... See more keywords
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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…
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Keywords:
weighted regression;
estimation;
scale adaptive;
mixed geographically ... See more keywords
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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…
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Keywords:
weighted regression;
manufacturing industry;
regression;
geographically weighted ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.03.108
Abstract: Abstract This paper reports the usage of the occurrence vector provided by the PAELLA algorithm in the context of robust regression. PAELLA was originally conceived as an outlier detection and data cleaning technique. A novel…
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Keywords:
weighted regression;
paella;
regression;
via paella ... See more keywords
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Published in 2017 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2017.06.001
Abstract: Abstract Most time-sequenced ambient air pollution data in China is published through daily Air Quality Index (AQI). However, few studies have used the AQI data to calibrate satellite-based estimates of fine particulate matter (PM 2.5…
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Keywords:
weighted regression;
regression;
gtwr model;
model ... See more keywords
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Published in 2018 at "Transportation Planning and Technology"
DOI: 10.1080/03081060.2018.1526988
Abstract: ABSTRACT In recent years, there has been considerable research interest in short-term traffic flow forecasting. However, forecasting models offering a high accuracy at a fine temporal resolution (e.g. 1 or 5 min) and lane level are…
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Keywords:
traffic;
weighted regression;
traffic flow;
locally weighted ... See more keywords
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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…
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Keywords:
soil;
weighted regression;
soil salinity;
geographically weighted ... See more keywords
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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…
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Keywords:
notion bandwidth;
geographically weighted;
weighted regression;
varying processes ... See more keywords
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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…
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Keywords:
weighted regression;
methodology;
analysis;
geographically weighted ... See more keywords