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Visual exploration of spatial data relies heavily on spatial aggregation queries that slice and summarize the data over different regions. These queries comprise computationally-intensive point-in-polygon tests that associate data points to polygonal regio ...
VLDB Endowment Inc.2017
The report deals with a first application of Support Vector Machines to the environmental spatial data classification. The simplest problem of classification is considered: using original data develop a model for the classification of the regions to be bel ...
Scientists in all disciplines increasingly rely on simulations to develop a better understanding of the subject they are studying. For example the neuroscientists we collaborate with in the Blue Brain project have started to simulate the brain on a superco ...
Emotionally charged experiences alter memory storage via the activation of hormonal systems. Previously, we have shown that compared with rats trained for a massed spatial learning task in the water maze in warm water (25 degrees C), animals that were trai ...
Geographic Information Technologies are now widespread. Geomatics tools are no longer restricted to a small number of technicians but impact on all of the actors within the land management sector (planners, geologists, foresters…). Many partnerships have e ...
Landscape ecologists and resource conservation managers increasingly need geo-referenced data but are not trained to efficiently use Geographical Information Systems together with appropriate geo-environmental information and spatial analysis approaches. I ...
International Society for Photogrammetry and Remote Sensing2010
Spatial data sharing mechanisms are an important asset to territorial communities. They help them understand and control their long term development. In this perspective, this paper suggests a novel approach of geodata appropriation processes based on dive ...
