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Auteur S. Anderson |
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An ensemble approach to space-time interpolation / E. Wentz in International journal of geographical information science IJGIS, vol 24 n° 9 (september 2010)
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Titre : An ensemble approach to space-time interpolation Type de document : Article/Communication Auteurs : E. Wentz, Auteur ; Donna J. Peuquet, Auteur ; S. Anderson, Auteur Année de publication : 2010 Article en page(s) : pp 1309 - 1325 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] estimation statistique
[Termes IGN] implémentation (informatique)
[Termes IGN] interpolation
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] paramètre de temps
[Termes IGN] Phoenix
[Termes IGN] urbanisationRésumé : (Auteur) The availability of spatial data on an unprecedented scale as well as advancements in analytical and visualization techniques gives researchers the opportunity to study complex problems over large urban and regional areas. Nevertheless, few individual data sets exist that provide both the requisite spatial and/or temporal observational frequency to truly facilitate detailed investigations. Some data are collected frequently over time but only at a few geographic locations (e.g., weather stations). Similarly, other data are collected with a high level of spatial resolution but not at regular or frequent time intervals (e.g., satellite data). The purpose of this article is to present an interpolation approach that leverages the relative temporal richness of one data set with the relative spatial richness of another to fill in the gaps. Because different interpolation techniques are more appropriate than others for specific types of data, we propose a space-time interpolation approach whereby two interpolation methods - one for the temporal and one for the spatial dimension - are used in tandem to increase the accuracy results. We call our ensemble approach the space-time interpolation environment (STIE). The primary steps within this environment include a spatial interpolation processor, a temporal interpolation processor, and a calibration processor, which enforces phenomenon-related behavioral constraints. The specific interpolation techniques used within the STIE can be chosen on the basis of suitability for the data and application at hand. In this article, we first describe STIE conceptually including the data input requirements, output structure, details of the primary steps, and the mechanism for coordinating the data within those steps. We then describe a case study focusing on urban land cover in Phoenix, Arizona, using our working implementation. Our empirical results show that our approach increased the accuracy for estimating urban land cover better than a single interpolation technique. Numéro de notice : A2010-404 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article DOI : 10.1080/13658816.2010.488238 En ligne : https://doi.org/10.1080/13658816.2010.488238 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30597
in International journal of geographical information science IJGIS > vol 24 n° 9 (september 2010) . - pp 1309 - 1325[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2010051 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010052 RAB Revue Centre de documentation En réserve L003 Disponible Efficient MaxCount and threshold operators of moving objects / S. Anderson in Geoinformatica, vol 13 n° 4 (December 2009)
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Titre : Efficient MaxCount and threshold operators of moving objects Type de document : Article/Communication Auteurs : S. Anderson, Auteur ; P. Revesz, Auteur Année de publication : 2009 Article en page(s) : pp 355 - 396 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] agrégat
[Termes IGN] données spatiotemporelles
[Termes IGN] objet mobileRésumé : (Auteur) Calculating operators of continuously moving objects presents some unique challenges, especially when the operators involve aggregation or the concept of congestion, which happens when the number of moving objects in a changing or dynamic query space exceeds some threshold value. This paper presents the following six d-dimensional moving object operators: (1) MaxCount (or MinCount), which finds the Maximum (or Minimum) number of moving objects simultaneously present in the dynamic query space at any time during the query time interval. (2) CountRange, which finds a count of point objects whose trajectories intersect the dynamic query space during the query time interval. (3) ThresholdRange, which finds the set of time intervals during which the dynamic query space is congested. (4) ThresholdSum, which finds the total length of all the time intervals during which the dynamic query space is congested. (5) ThresholdCount, which finds the number of disjoint time intervals during which the dynamic query space is congested. And (6) ThresholdAverage, which finds the average length of time of all the time intervals when the dynamic query space is congested. For these operators separate algorithms are given to find only estimate or only precise values. Experimental results from more than 7,500 queries indicate that the estimation algorithms produce fast, efficient results with error under 5%. Copyright Springer Numéro de notice : A2009-332 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-008-0050-7 En ligne : https://doi.org/10.1007/s10707-008-0050-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29962
in Geoinformatica > vol 13 n° 4 (December 2009) . - pp 355 - 396[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-09041 RAB Revue Centre de documentation En réserve L003 Disponible