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Auteur Harvey J. Miller |
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Detecting and analyzing mobility hotspots using surface networks / Y. Hu in Transactions in GIS, vol 18 n° 6 (December 2014)
[article]
Titre : Detecting and analyzing mobility hotspots using surface networks Type de document : Article/Communication Auteurs : Y. Hu, Auteur ; Harvey J. Miller, Auteur ; X. Li, Auteur Année de publication : 2014 Article en page(s) : pp 911 – 935 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] estimation par noyau
[Termes IGN] mobilité humaine
[Termes IGN] objet mobile
[Termes IGN] Shanghai (Chine)
[Termes IGN] théorie des graphes
[Termes IGN] topologieRésumé : (Auteur) Capabilities for collecting and storing data on mobile objects have increased dramatically over the past few decades. A persistent difficulty is summarizing large collections of mobile objects. This article develops methods for extracting and analyzing hotspots or locations with relatively high levels of mobility activity. We use kernel density estimation (KDE) to convert a large collection of mobile objects into a smooth, continuous surface. We then develop a topological algorithm to extract critical geometric features of the surface; these include critical points (peaks, pits and passes) and critical lines (ridgelines and course-lines). We connect the peaks and corresponding ridgelines to produce a surface network that summarizes the topological structure of the surface. We apply graph theoretic indices to analytically characterize the surface and its changes over time. To illustrate our approach, we apply the techniques to taxi cab data collected in Shanghai, China. We find increases in the complexity of the hotspot spatial distribution during normal activity hours in the late morning, afternoon and evening and a spike in the connectivity of the hotspot spatial distribution in the morning as taxis concentrate on servicing travel to work. These results match with scientific and anecdotal knowledge about human activity patterns in the study area. Numéro de notice : A2014-577 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12076 Date de publication en ligne : 17/02/2014 En ligne : https://doi.org/10.1111/tgis.12076 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74767
in Transactions in GIS > vol 18 n° 6 (December 2014) . - pp 911 – 935[article]Anchor uncertainty and space-time prisms on road networks / Bart Kuijpers in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)
[article]
Titre : Anchor uncertainty and space-time prisms on road networks Type de document : Article/Communication Auteurs : Bart Kuijpers, Auteur ; Harvey J. Miller, Auteur ; T. Neutens, Auteur ; Walied Othman, Auteur Année de publication : 2010 Article en page(s) : pp 1223 - 1248 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] incertitude géométrique
[Termes IGN] logiciel de calcul scientifique
[Termes IGN] objet mobile
[Termes IGN] réseau routierRésumé : (Auteur) Space-time prisms capture all possible locations of a moving person or object between two known locations and times given the maximum travel velocities in the environment. These known locations or 'anchor points' can represent observed locations or mandatory locations because of scheduling constraints. The classic space-time prism as well as more recent analytical and computational versions in planar space and networks assume that these anchor points are perfectly known or fixed. In reality, observations of anchor points can have error, or the scheduling constraints may have some degree of pliability. This article generalizes the concept of anchor points to anchor regions: these are bounded, possibly disconnected, subsets of space-time containing all possible locations for the anchor points, with each location labelled with an anchor probability. We develop two algorithms for calculating network-based space-time prisms based on these probabilistic anchor regions. The first algorithm calculates the envelope of all space-time prisms having an anchor point within a particular anchor region. The second algorithm calculates, for any space-time point, the probability that a space-time prism with given anchor regions contains that particular point. Both algorithms are implemented in Mathematica to visualize travel possibilities in case the anchor points of a space-time prism are uncertain. We also discuss the complexity of the procedures, their use in analysing uncertainty or flexibility in network-based prisms and future research directions. Numéro de notice : A2010-327 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810903321339 En ligne : https://doi.org/10.1080/13658810903321339 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30521
in International journal of geographical information science IJGIS > vol 24 n°7-8 (july 2010) . - pp 1223 - 1248[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2010041 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010042 RAB Revue Centre de documentation En réserve L003 Disponible Geographic information science, 4th international conference, GIScience 2006, Münster, Germany, September 2006 / Martin Raubal (2006)
Titre : Geographic information science, 4th international conference, GIScience 2006, Münster, Germany, September 2006 : Proceedings Type de document : Actes de congrès Auteurs : Martin Raubal, Éditeur scientifique ; Harvey J. Miller, Éditeur scientifique ; Andrew U. Frank, Éditeur scientifique ; Michael F. Goodchild, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2006 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 4197 Conférence : GIScience 2006, 4th international conference Geographic information science 20/09/2006 23/09/2006 Münster Allemagne Proceedings Springer Importance : 417 p. Format : 15 x 23 cm ISBN/ISSN/EAN : 978-3-540-44526-5 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse multicritère
[Termes IGN] calcul d'itinéraire
[Termes IGN] diagramme de Voronoï
[Termes IGN] graphe
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] OpenLS
[Termes IGN] réseau routierRésumé : (édition) The GIScience conference series was created as a forum for all researchers who are interested in advancing research in the fundamtal aspects of geographic information science. Starting with GIScience 2000 in Savannah, Georgia, USA, the conferences have been held biennially, bringing together a highly interdisciplinary group of scientists from academia, industry, and governmentto analyze progressand to explore new researchdirections. The conferences focus on emerging topics and basic research findings across all sectors of geographic information science. After three highly successful conferences in the United States, this year’s GIScience conference was held in Europe for the first time. The GIScience conferences have been a meeting point for researchers coming from various disciplines, including cognitive science, computer science, engineering, geography, information science, mathematics, philosophy, psychology, social science, and statistics.
In order to account for the different needs of the involved scientific disciplines with regard to publishing their research results, we again organized two separate stages of paper submission: 93 full papers were each thoroughly reviewed by three Program Committee members and 26 were selected for presentation at the conference and inclusion in this volume. Then, 159 extended abstracts, describing work in progress, were screened by two Program Committee members each. Subsequently, 42 of them were selected for oral presentation, and 46 for poster presentation at the conferenceNuméro de notice : 17082 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Actes DOI : 10.1007/11863939 En ligne : http://doi.org/10.1007/11863939 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79430 Voir aussiRéservation
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Code-barres Cote Support Localisation Section Disponibilité 17082-01 CG2006 Livre Centre de documentation Congrès Disponible 17082-02 CG2006 Livre Centre de documentation Congrès Disponible Geographic Information Science, Fourth International Conference, GIScience 2006, Münster, Germany, September 2006 / Martin Raubal (2006)
Titre : Geographic Information Science, Fourth International Conference, GIScience 2006, Münster, Germany, September 2006 : Extended abstracts Type de document : Actes de congrès Auteurs : Martin Raubal, Éditeur scientifique ; Harvey J. Miller, Éditeur scientifique ; Andrew U. Frank, Éditeur scientifique ; Michael F. Goodchild, Éditeur scientifique Editeur : Münster : Institut für Geoinformatik Universität Münster Année de publication : 2006 Collection : IFGI Prints num. 28 Conférence : GIScience 2006, 4th international conference Geographic information science 20/09/2006 23/09/2006 Münster Allemagne Proceedings Springer Importance : 431 p. Format : 15 x 21 cm ISBN/ISSN/EAN : 978-3-936616-25-5 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] généralisation automatique de données
[Termes IGN] géovisualisation
[Termes IGN] système d'information géographiqueIndex. décimale : CG2006 Actes de congrès en 2006 Note de contenu : - Abstracts for presentation
- Abstracts for posterNuméro de notice : 21309 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89932 Voir aussiContient
- A method for generalisation of river networks based on "strokes" and database enrichment [extended abstract] / Guillaume Touya (2006)
- Legend design based on map samples [extended abstract] / Catherine Dominguès (2006)
- Generalisation or data matching for integration? Insights from experiments on databases at different levels of details / Guillaume Touya (2006)
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Code-barres Cote Support Localisation Section Disponibilité 21309-01 CG2006 Livre Centre de documentation Congrès Disponible