Centre de documentation
scientifique

Placial analysis of events: a case study on criminological places / Sunghwan Cho in Cartography and Geographic Information Science, Vol 46 n° 6 (November 2019)  

Public [article]  inCartography and Geographic Information Science > Vol 46 n° 6 (November 2019) . - pp 547-566 Titre : Placial analysis of events: a case study on criminological places Type de document : Article/Communication Auteurs : Sunghwan Cho, Auteur ; May Yuan, Auteur Année de publication : 2019 Article en page(s) : pp 547-566 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] cartographie statistique [Termes IGN] criminalité [Termes IGN] Dallas (Texas) [Termes IGN] détection d'événement [Termes IGN] données spatiotemporelles [Termes IGN] géolocalisation [Termes IGN] interaction humain-espace [Termes IGN] système d'information géographique [Termes IGN] zone à risque Résumé : (auteur) The contrast of space and place has long been an active topic of scholarly discussions in many disciplines. While spatial analysis enjoys a multitude of quantitative methods, the study of place remains mostly conceptual and descriptive. This paper expands upon the rich concepts of place in the literature to propose a quantitative framework for placial analysis based on events. Central to the proposed framework are three assumptions: (1) human experiences transform space to place; (2) events build human experiences in space; and (3) places emerge organically and may change characters, spatial extent and location over time through the shifts in occurrences and types of events in space and time. The proposed framework consists of three elements: clustering events, decomposing event distributions, and identifying the similarity of event clusters. We applied the framework to identify criminological places in the City of Dallas in the United States and the changes of these places from 1 June 2014 to 30 May 2018. Numéro de notice : A2019-417 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2019.1578265 Date de publication en ligne : 01/03/2019 En ligne : https://doi.org/10.1080/15230406.2019.1578265 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93544 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2019061	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A spatiotemporal GIS framework applied to the analysis of changes in temperature patterns / James Bothwell in Transactions in GIS, vol 16 n° 6 (December 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 6 (December 2012) . - pp 901 - 919 Titre : A spatiotemporal GIS framework applied to the analysis of changes in temperature patterns Type de document : Article/Communication Auteurs : James Bothwell, Auteur ; May Yuan, Auteur Année de publication : 2012 Article en page(s) : pp 901 - 919 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse spatio-temporelle [Termes IGN] Antarctique [Termes IGN] changement climatique [Termes IGN] isoligne [Termes IGN] système d'information géographique [Termes IGN] température de surface Résumé : (Auteur) This research develops a new temporal Geographic Information System (GIS) framework and applies it to compare General Circulation Model (GCM) products and reanalysis datasets in order to discern differences in patterns and locations of change as a proof of concept. The proposed framework incorporates the concept of kinematics to represent the movement of isolines as advection displacement vectors. Comparison of displacement vectors from the four datasets shows differences in isotherm shifts for both median values and interquartile ranges along with several prominent, well defined difference regions across the globe. Among the four datasets used in the study, the two reanalysis datasets have the smallest median difference in displacement vectors indicating the least spatiotemporal difference. As both reanalysis datasets are based on actual observations, this result validates the displacement vector representation. The CNRM CM3 20C3M dataset contains an Antarctic Cooling that led to most of the differences in displacement vectors against the other datasets. The research shows the effectiveness of GIS enabled displacement vectors analysis to elicit spatial differences in climate patterns among GCM data and reanalysis data. While temperature data were used in the case study, the proposed method is based on concepts applicable to other isolines of geographic variables (such as isobars or isohyets). Numéro de notice : A2012-620 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01327.x En ligne : https://doi.org/10.1111/j.1467-9671.2012.01327.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32066 [article]