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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 ...
The Spatial Dependence in Central Sulawesi Province
(Universidad del Zulia, 2019)
Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis
(Pontificia Universidad Católica del Perú. Departamento de EconomíaPE, 2021)
Social classes and socio-spatial modeling of Temuco, Chile, at the end of the 20th century
(COLEGIO MEXICO. A C. DEPT PUBLICACIONES, 2021)
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 ...
Users Integrity Constraints in SOLAP Systems. Application in Agroforestry
SpatialData Warehouse and Spatial On-Line Analytical Processing are decision support technologies which offer the spatial and multidimensional analysis of data stored in multidimensional structure. They are aimed also at ...
Exploratory and confirmatory spatial data analysis tools in transport demand modeling
(2007-01-01)
The main goal of this paper is to discuss a method for the definition of spatial dependence indicators and their inclusion as variables into transportation demand models. The method is based on ESDA (Exploratory Spatial ...
Spatial epidemic dynamics of the COVID-19 outbreak in China
Background: On 31 December 2019 an outbreak of COVID-19 in Wuhan, China, was reported. The outbreak
spread rapidly to other Chinese cities and multiple countries. This study described the spatio-temporal
pattern and ...