Meaningful spatial prediction and aggregation
نویسندگان
چکیده
منابع مشابه
Meaningful spatial prediction and aggregation
The appropriateness of spatial prediction methods such as Kriging, or aggregation methods such as summing observation values over an area, is currently judged by domain experts using their knowledge and expertise. In order to provide support from information systems for automatically discouraging or proposing prediction or aggregation methods for a dataset, expert knowledge needs to be formaliz...
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The increasing availability of ontologies raises the need to establish relationships and make inferences across heterogeneous knowledge models. The approach proposed and supported by knowledge representation standards consists in establishing formal symbolic descriptions of a conceptualisation, which, it has been argued, lack grounding and are not expressive enough to allow to identify relation...
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The massive adoption of smart phones and other mobile devices has generated humongous amount of spatial and spatio-temporal data. The importance of spatial analytics and aggregation is everincreasing. An important challenge is to support interactive exploration over such data. However, spatial analytics and aggregation using all data points that satisfy a query condition is expensive, especiall...
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ژورنال
عنوان ژورنال: Environmental Modelling & Software
سال: 2014
ISSN: 1364-8152
DOI: 10.1016/j.envsoft.2013.09.006