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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 ...
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 clustering applied to health area
(2011-12-01)
The significant volume of work accidents in the cities causes an expressive loss to society. The development of Spatial Data Mining technologies presents a new perspective for the extraction of knowledge from the correlation ...
Spatial clustering applied to health area
(2011-12-01)
The significant volume of work accidents in the cities causes an expressive loss to society. The development of Spatial Data Mining technologies presents a new perspective for the extraction of knowledge from the correlation ...
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 ...
Semantic Representation of Raster Spatial Data
(Revista Computación y Sistemas; Vol. 14 No. 3, 2011-03-08)
Abstract. When people think spatially, they do not usually
consider geographic coordinates nor projections. Facing
questions having a spatial sense, people do not answer
with maps or coordinates, but use some references ...
Persistent homology for time series and spatial data clustering
(Pergamon/ElsevierOxford, 2015-09)
Topology is the branch of mathematics that studies how objects relate to one another for their qualitative structural properties, such as connectivity and shape. In this paper, we present an approach for data clustering ...
CHSMST plus : An Algorithm for Spatial Clustering
(Ieee, 2016-01-01)
Spatial clustering has been widely studied due to its application in several areas. However, the algorithms of such technique still need to overcome several challenges to achieve satisfactory results on a timely basis. ...
FastMapping: Software to create field maps and identify management zones in precision agriculture
(Elsevier, 2020-08)
Diverse on-farm agronomic data, gathered via precision agriculture (PA), require depuration and joint analysis of multiple georeferenced field characteristics such as crop yields, and soil and topographic aspects. Multivariate ...