Détail de l'auteur
Auteur Donna J. Peuquet |
Documents disponibles écrits par cet auteur (15)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesPerSE : visual analytics for calendar related spatiotemporal periodicity detection and analysis / Brian Swedberg in Geoinformatica, vol 21 n° 3 (July - September 2017)
Titre : PerSE : visual analytics for calendar related spatiotemporal periodicity detection and analysis Type de document : Article/Communication Auteurs : Brian Swedberg, Auteur ; Donna J. Peuquet, Auteur Année de publication : 2017 Article en page(s) : pp 577 - 597 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse visuelle
[Termes IGN] application web
[Termes IGN] calendrier
[Termes IGN] démonstration de faisabilité
[Termes IGN] dimension temporelle
[Termes IGN] exploration de données géographiques
[Termes IGN] filtrage d'information
[Termes IGN] fréquence
[Termes IGN] interactivité
[Termes IGN] sciences humaines et sociales
[Termes IGN] utilisateur
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Periodicity is embedded in all societies. As most of us organize our lives based on temporal structures, it is hard to imagine what life would be like without it. We experience periodicity through naturally occurring rhythms that exist in nature, such as sunrise/sunset, seasonal changes in the weather, and the tides. We also experience it through abstract means via cultural, political, religious ties, such as the weekend, Independence Day, and Ramadan. Forms of periodicity, like the examples above, are foundational to making sense of human activity because they provide contextual rationale and frame normaility. However, disparate calendars (e.g. Islamic vs. Gregorian), localized idiosyncrasies, and other variables greatly complicate the analytical ability to uncover and understand human activity at a given time within a specified region. We have developed PerSE (Periodicity in Spatiotemporal Events): a web application designed to aid users in the detection and analysis of calendar related periodicity in spatiotemporal event data sets via exploratory user interaction. PerSE is composed of several crossfiltering views: the Map, Attribute View, Time-Wheel, Timeline, and Table. Users interactively set and release filters on one or more of the views to detect and analyze calendar related periodicity. This paper illustrates the utility of PerSE through an in-depth description of the tool and proof of concept usage example. Numéro de notice : A2017-382 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-016-0280-z En ligne : https://doi.org/10.1007/s10707-016-0280-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85813
in Geoinformatica > vol 21 n° 3 (July - September 2017) . - pp 577 - 597[article]
Titre : Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data Type de document : Article/Communication Auteurs : Anthony C. Robinson, Auteur ; Donna J. Peuquet, Auteur ; Scott Pezanowski, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 216 - 228 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatiale
[Termes IGN] dimension temporelle
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] évaluation
[Termes IGN] exploration de données
[Termes IGN] géolocalisation
[Termes IGN] géovisualisation
[Termes IGN] Syrie
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) It remains difficult to develop a clear understanding of geo-located events and their relationships to one another, particularly when it comes to identifying patterns of events in less-structured textual sources, such as news feeds and social media streams. Here we present a geovisualization tool that can leverage computational methods, such as T-pattern analysis, for extracting patterns of interest from event data streams. Our system, STempo, includes coordinated-view geovisualization components designed to support visual exploration and analysis of event data, and patterns extracted from those data, in terms of time, geography, and content. Through a user evaluation, we explore the usability and utility of STempo for understanding patterns of recent political, social, economic, and military events in Syria. Numéro de notice : A2017-208 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2016.1139467 En ligne : http://dx.doi.org/10.1080/15230406.2016.1139467 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85043
in Cartography and Geographic Information Science > Vol 44 n° 3 (May 2017) . - pp 216 - 228[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2017031 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : An evaluation of a visual analytics prototype for calendar-related spatiotemporal periodicity detection and analysis Type de document : Article/Communication Auteurs : Brian Swedberg, Auteur ; Donna J. Peuquet, Auteur Année de publication : 2017 Article en page(s) : pp 63 - 79 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle
[Termes IGN] analyse spatio-temporelle
[Termes IGN] application web
[Termes IGN] calendrier
[Termes IGN] convivialité
[Termes IGN] échelle de temps
[Termes IGN] échelle géographique
[Termes IGN] prototype
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Whether it is sunrise, the weekend, or Christmas, some form of temporal structure or periodic pattern governs our daily activities. Understanding them is essential to making sense of human activity, because they frame normality and allow us to identify abnormalities. However, cultural heterogeneity and scale greatly complicate our ability to uncover and understand human activity at a given time within a region. Current research in the field of visual analytics and geography provide methods of addressing spatiotemporal periodicity, but they fall short in providing access to multiple spatial and temporal scales via a relevant calendar. In response to these shortcomings, we developed PerSE (periodicity in spatiotemporal events), a coordinated-view Web application designed to aid users in the detection and analysis of calendar-related periodicity in spatiotemporal event data sets. Given the complexity of such a visualization tool, this paper focuses on the usability and learnability of PerSE. We evaluated the tool through a 20-participant study that consisted of training, a multiple-choice test, and the System Usability Scale. Our analysis of the results shows that the complex combination of visual tools and multi-scale, multi-calendar capability used within PerSE is effective, but still in need of usability improvements. Numéro de notice : A2017-138 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart.52.1.3820 En ligne : http://dx.doi.org/10.3138/cart.52.1.3820 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84608
in Cartographica > vol 52 n° 1 (Spring 2017) . - pp 63 - 79[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 031-2017011 SL Revue Centre de documentation Revues en salle Disponible
Titre : A method for discovery and analysis of temporal patterns in complex event data Type de document : Article/Communication Auteurs : Donna J. Peuquet, Auteur ; Anthony C. Robinson, Auteur ; Samuel Stehle, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 1588 - 1611 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] découverte de connaissances
[Termes IGN] données spatiotemporelles
[Termes IGN] événement
[Termes IGN] extension temporelleMots-clés libres : T-pattern analysis STempo Résumé : (Auteur) Pattern analysis techniques currently common within geography tend to focus either on characterizing patterns of spatial and/or temporal recurrence of a single event type (e.g., incidence of flu cases) or on comparing sequences of a limited number of event types where relationships between events are already represented in the data (e.g., movement patterns). The availability of large amounts of multivariate spatiotemporal data, however, requires new methods for pattern analysis. Here, we present a technique for finding associations among many different event types where the associations among these varying event types are not explicitly represented in the data or known in advance. This pattern discovery method, known as T-pattern analysis, was first developed within the field of psychology for the purpose of finding patterns in personal interactions. We have adapted and extended the T-pattern method to take the unique characteristics of geographic data into account and implemented it within a geovisualization toolkit for an integrated computational-geovisual environment we call STempo. To demonstrate how T-pattern analysis can be employed in geographic research for discovering patterns in complex spatiotemporal data, we describe a case study featuring events from news reports about Yemen during the Arab Spring of 2011–2012. Using supplementary data from the Global Database of Events, Language, and Tone, we briefly summarize and reference a separate validation study, then evaluate the scalability of the T-pattern approach. We conclude with ideas for further extensions of the T-pattern technique to increase its utility for spatiotemporal analysis. Numéro de notice : A2015-608 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1042380 En ligne : https://doi.org/10.1080/13658816.2015.1042380 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78037
in International journal of geographical information science IJGIS > vol 29 n° 9 (September 2015) . - pp 1588 - 1611[article]
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]Exemplaires(2)
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 PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalink
