Buscar
Mostrando ítems 1-10 de 10502
Estimation of a preference map of new consumers for spatial load forecasting simulation methods using a spatial analysis of points
(Elsevier B.V., 2015-05-01)
The paper presents a spatial analysis of points especially suited to estimate a preference map for new consumers, which is then used as an analytical tool in spatial electric load forecasting. This approach is an exploratory ...
Modeling vague spatial data warehouses using the VSCube conceptual model
(SpringerDordrecht, 2014-04)
Although many real world phenomena are vague and characterized by having uncertain location or vague shape, existing spatial data warehouse models do not support spatial vagueness and then cannot properly represent these ...
Latent Segmentation of Urban Space through Residential Location Choice
(2021)
Understanding the preferences of households in their location decisions is key for residential demand forecast and urban policy making. Accounting for preference heterogeneity across agents is useful for the modelling ...
Embedding vague spatial objects into spatial databases using the VagueGeometry abstract data type
(Instituto Nacional de Pesquisas Espaciais - INPEUniversidade Federal de Santa Catarina - UFSCCampos do Jordão, 2015-11)
Spatial vagueness has been required by geoscientists to handle vague spatial objects, i.e., spatial objects that do not have exact locations, strict boundaries, or sharp interiors. However, there is a gap in the literature ...
Location-allocation models applied to urban public services. Spatial analysis of Primary Health Care Centers in the city of Luján, Argentina
(Hungarian Academy of Sciences. Research Centre for Astronomy and Earth Sciences. Geographical Institute, 2013-12)
The actual digital technologies and particularly the association between the Geographical Information Systems (GIS) and the assistance to the Spatial Decision Support System (BOSS) have generated important possibilities ...
Where Are the Poor Located? A Spatial Heterogeneity Analysis of Monetary Poverty in Peru
(Pontificia Universidad Católica del Perú, 2021)
Spatial Function of Influence on Center Optimal Location Based on L-p-Norms
(SPRINGER INTERNATIONAL PUBLISHING AG, 2017)
Implementação de uma arquitetura para minerar regras de associação espaciais a partir de dados espaciais fuzzy
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEngenharia de Computação - EC, 2022-09-15)
The use and importance of spatial data have been growing more and more. With the assimilation of the real world, many spatial phenomena are modeled and represented by fuzzy spatial objects, which have blurred interiors, ...
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 ...