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Auteur Kevin Sparks |
Documents disponibles écrits par cet auteur (2)



A global analysis of cities’ geosocial temporal signatures for points of interest hours of operation / Kevin Sparks in International journal of geographical information science IJGIS, vol 34 n° 4 (April 2020)
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Titre : A global analysis of cities’ geosocial temporal signatures for points of interest hours of operation Type de document : Article/Communication Auteurs : Kevin Sparks, Auteur ; Gautam Thakur, Auteur ; Amol Pasarkar, Auteur ; Marie Urban, Auteur Année de publication : 2020 Article en page(s) : pp 759 - 776 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse comparative
[Termes IGN] analyse spatio-temporelle
[Termes IGN] climat urbain
[Termes IGN] contenu généré par les utilisateurs
[Termes IGN] coutume
[Termes IGN] déformation temporelle dynamique (algorithme)
[Termes IGN] démographie
[Termes IGN] données géophysiques
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] estimation quantitative
[Termes IGN] ethnologie
[Termes IGN] géographie sociale
[Termes IGN] gestion urbaine
[Termes IGN] milieu urbain
[Termes IGN] modèle dynamique
[Termes IGN] modélisation spatio-temporelle
[Termes IGN] point d'intérêt
[Termes IGN] réseau social
[Termes IGN] trace numériqueRésumé : (auteur) The temporal nature of humans interaction with Points of Interest (POIs) in cities can differ depending on place type and regional location. Times when many people are likely to visit restaurants (place type) in Italy, may differ from times when many people are likely to visit restaurants in Lebanon (i.e. regional differences). Geosocial data are a powerful resource to model these temporal differences in cities, as traditional methods used to study cross-cultural differences do not scale to a global level. As cities continue to grow in population and economic development, research identifying the social and geophysical (e.g., climate) factors that influence city function remains important and incomplete. In this work, we take a quantitative approach, applying dynamic time warping and hierarchical clustering on temporal signatures to model geosocial temporal patterns for Retail and Restaurant Facebook POIs hours of operation for more than 100 cities in 90 countries around the world. Results show cities’ temporal patterns cluster to reflect the cultural region they represent. Furthermore, temporal patterns are influenced by a mix of social and geophysical factors. Trends in the data suggest social factors influence unique drops in temporal signatures, and geophysical factors influence when daily temporal patterns start and finish. Numéro de notice : A2020-294 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1615069 Date de publication en ligne : 04/06/2019 En ligne : https://doi.org/10.1080/13658816.2019.1615069 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95126
in International journal of geographical information science IJGIS > vol 34 n° 4 (April 2020) . - pp 759 - 776[article]An impressionistic cartographic solution for base map land cover with coarse pixel data / Paulo Raposo in Cartographic perspectives, n° 83 (2016)
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Titre : An impressionistic cartographic solution for base map land cover with coarse pixel data Type de document : Article/Communication Auteurs : Paulo Raposo, Auteur ; Cynthia A. Brewer, Auteur ; Kevin Sparks, Auteur Année de publication : 2016 Article en page(s) : pp 5 - 21 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] ArcGIS
[Termes IGN] carte d'occupation du sol
[Termes IGN] carte topographique
[Termes IGN] données maillées
[Termes IGN] échantillonnage de données
[Termes IGN] généralisation cartographique
[Termes IGN] généralisation de base de données
[Termes IGN] incertitude géométrique
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Several everyday cartography applications do not require sharply precise base maps, and in fact benefit from their generalization or deliberate obscuration, such as tourist or transit maps. Additionally, raster data fine enough for a given map scale are not always available. We present a method of creating an impressionistic land cover base map for topographic mapping in which the above two conditions are true, using the National Land Cover Database (NLCD) of the US Geological Survey (USGS). The method is based on reclassification, upsampling, constrained randomization at class boundary edges, and deliberate use of colors with very similar lightness values. The method spans both scientific geospatial data treatment and artistic cartographic design, and both generalizes and enhances the data. The processing, automated in ArcGIS™, is detailed, and examples of the product are provided. Numéro de notice : A2016--124 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.14714/CP83.1351 En ligne : http://dx.doi.org/10.14714/CP83.1351 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84968
in Cartographic perspectives > n° 83 (2016) . - pp 5 - 21[article]