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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 ...
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 ...
Query rewriting for semantic query optimization in spatial databases
(2019)
Query processing is an important challenge for spatial databases due to the use of complex data types that represent spatial attributes. In particular, due to the cost of spatial joins, several optimization algorithms based ...
The Spatial Dependence in Central Sulawesi Province
(Universidad del Zulia, 2019)
VDBSCAN plus : Performance Optimization Based on GPU Parallelism
(Ieee, 2013-01-01)
Spatial data mining techniques enable the knowledge extraction from spatial databases. However, the high computational cost and the complexity of algorithms are some of the main problems in this area. This work proposes a ...
Spatial Variability of Soil Organic Matter and Cation Exchange Capacity in an Oxisol under Different Land Uses
(2016-12-30)
Soil properties may exhibit large spatial variability. Frequently this variability is auto-correlated at a certain scale. In addition to soil-forming factors, soil management, land cover, and agricultural system may affect ...
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 ...
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 ...