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Inference and analysis across spatial supports in the big data era : Uncertain point observations and geographic contexts / Colin Robertson in Transactions in GIS, vol 22 n° 2 (April 2018)  

Public [article]  inTransactions in GIS > vol 22 n° 2 (April 2018) . - pp 455 - 476 Titre : Inference and analysis across spatial supports in the big data era : Uncertain point observations and geographic contexts Type de document : Article/Communication Auteurs : Colin Robertson, Auteur ; Rob Feick, Auteur Année de publication : 2018 Article en page(s) : pp 455 - 476 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] contenu généré par les utilisateurs [Termes IGN] incertitude des données [Termes IGN] prise en compte du contexte Résumé : (Auteur) The ways in which geographic information are produced have expanded rapidly over recent decades. These advances have provided new opportunities for geographical information science and spatial analysis—allowing the tools and theories to be expanded to new domain areas and providing the impetus for theory and methodological development. In this light, old problems of inference and analysis are rediscovered and need to be reinterpreted, and new ones are made apparent. This article describes a new typology of geographical analysis problems that relates to uncertainties in the relationship between individual‐level data, represented as point features, and the geographic context(s) that they are associated with. We describe how uncertainty in context linkage (uncertain geographic context problem) is also related to, but distinct from, uncertainty in point‐event locations (uncertain point observation problem) and how these issues can impact spatial analysis. A case study analysis of a geosocial dataset demonstrates how alternative conclusions can result from failure to account for these sources of uncertainty. Sources of point observation uncertainties common in many forms of user‐generated and big spatial data are outlined and methods for dealing with them are reviewed and discussed. Numéro de notice : A2018-213 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12321 Date de publication en ligne : 23/03/2018 En ligne : https://doi.org/10.1111/tgis.12321 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90003 [article]

Evaluating selected visualization methods for exploring VGI / Rob Feick in Geomatica, vol 64 n° 4 (December 2010)  

Public [article]  inGeomatica > vol 64 n° 4 (December 2010) . - pp 427 - 437 Titre : Evaluating selected visualization methods for exploring VGI Type de document : Article/Communication Auteurs : Rob Feick, Auteur ; Vivian Deparday, Auteur Année de publication : 2010 Article en page(s) : pp 427 - 437 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] données localisées des bénévoles [Termes IGN] données localisées libres [Termes IGN] filtrage d'information [Termes IGN] logiciel de cartographie [Termes IGN] utilisateur civil [Termes IGN] visualisation cartographique Résumé : (Auteur) The increasing prevalence of user-generated, or volunteered, geographic information is changing established practices of spatial data production and use in ways that were largely unanticipated in nature or in scope. This paper investigates one dimension of VGI use that has received relatively little attention to date, namely the influence of different cartographic visualisation methods on citizens' ability to explore and understand VGI. Following a brief review of key challenges related to VGI use, the paper describes a web-based software prototype that was designed to allow users to compare several simple geovisualisation and data filtering techniques for VGI exploration. Next, attention is directed to a specific study context where citizens used the software tool to explore a rich data set of locally-produced VGI related to community assets. The paper concludes with a discussion of the results from this experiment. Numéro de notice : A2010-574 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.5623/geomat-2010-0045 En ligne : https://doi.org/10.5623/geomat-2010-0045 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30765 [article]

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