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GIS-based analytical tools for transport planning: spatial regression models for transportation demand forecast
(2014)
Considering the importance of spatial issues in transport planning, the main objective of this study was to analyze the results obtained from different approaches of spatial regression models. In the case of spatial ...
Spatial Pattern Recognition of Urban Sprawl Using a Geographically Weighted Regression for Spatial Electric Load Forecasting
(Ieee, 2015-01-01)
Distribution utilities must perform forecasts in spatial manner to determine the locations that could increase their electric demand. In general, these forecasts are made in the urban area, without regard to the preferences ...
Spatial pattern recognition of urban sprawl using a geographically weighted regression for spatial electric load forecasting
(2015-11-10)
Distribution utilities must perform forecasts in spatial manner to determine the locations that could increase their electric demand. In general, these forecasts are made in the urban area, without regard to the preferences ...
Influence diagnostics in Gaussian spatial linear models
(TAYLOR & FRANCIS LTD, 2012)
Spatial linear models have been applied in numerous fields such as agriculture, geoscience and environmen-tal sciences, among many others. Spatial dependence structure modelling, using a geostatistical approach,is an ...
Estimation of Electric Demand from Electric Vehicles Using Spatial Regressions
(2019-09-01)
The acquisition of electric vehicles depends on socioeconomic factors and does not occur homogeneously in the different zones of urban areas for the early years of the electric vehicles penetrations. The concentration of ...
Where Are the Poor Located? A Spatial Heterogeneity Analysis of Monetary Poverty in Peru
(Pontificia Universidad Católica del Perú, 2021)