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Auteur Seth Spielman |
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Establishing a framework for Open Geographic Information science / Alex David Singleton in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)
[article]
Titre : Establishing a framework for Open Geographic Information science Type de document : Article/Communication Auteurs : Alex David Singleton, Auteur ; Seth Spielman, Auteur ; Chris Brunsdon, Auteur Année de publication : 2016 Article en page(s) : pp 1507 - 1521 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] accès aux données
[Termes IGN] données ouvertes
[Termes IGN] droit d'exploitation
[Termes IGN] droit de reproduction
[Termes IGN] gestion des droits numériques
[Termes IGN] information géographique
[Termes IGN] Infrastructure de données
[Termes IGN] logiciel libreRésumé : (Auteur) When conducting research within a framework of Geographic Information Science (GISc), the scientific validity of this work can be argued as highly dependent upon the extent to which the methods employed are reproducible, and that, in the strictest sense, can only be fully achieved by implementing transparent workflows that utilize both open source software and openly available data. After considering the scientific implications of non-reproducible methods, we provide a review of both open source Geographic Information Systems (GIS) and openly available data, before describing an integrated model for Open GISc. We conclude with a critical review of this embryonic paradigm, with directions for future development in supporting spatial data infrastructure. Numéro de notice : A2016-317 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1137579 En ligne : http://www.tandfonline.com/doi/pdf/10.1080/13658816.2015.1137579 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80937
in International journal of geographical information science IJGIS > vol 30 n° 7- 8 (July - August 2016) . - pp 1507 - 1521[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2016042 RAB Revue Centre de documentation En réserve L003 Disponible 079-2016041 RAB Revue Centre de documentation En réserve L003 Disponible Spatial collective intelligence? Credibility, accuracy, and volunteered geographic information / Seth Spielman in Cartography and Geographic Information Science, vol 41 n° 2 (March 2014)
[article]
Titre : Spatial collective intelligence? Credibility, accuracy, and volunteered geographic information Type de document : Article/Communication Auteurs : Seth Spielman, Auteur Année de publication : 2014 Article en page(s) : pp 115 - 124 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] données localisées des bénévoles
[Termes IGN] intelligence collective
[Termes IGN] interactivité
[Termes IGN] participation du public
[Termes IGN] production participative
[Termes IGN] qualité de service
[Termes IGN] qualité des donnéesRésumé : (Auteur) Collective intelligence is the idea that under the right circumstances collections of individuals are smarter than even the smartest individuals in the group, that is a group has an “intelligence” that is independent of the intelligence of its members. The ideology of collective intelligence undergirds much of the enthusiasm about the use of “volunteered” or crowd-sourced geographic information. Literature from a variety of fields makes clear that not all groups possess collective intelligence, this article identifies four pre-conditions for the emergence of collective intelligence and then examines the extent to which collectively generated mapping systems satisfy these conditions. However, the “intelligence” collectively generated maps is hard to assess because there are two difficult to reconcile perspectives on map quality – the credibility perspective and the accuracy perspective. Much of the current literature on user-generated maps focuses on assessing the quality of individual contributions. However, because user-generated maps are complex social systems and because the quality of a contribution is difficult to assess this strategy may not yield an “intelligent” end product. The existing literature on collective intelligence suggests that the structure of groups is more important than the intelligence of group members. Applying this idea to user-generated maps suggests that systems should be designed to foster conditions known to produce collective intelligence rather than privileging particular contributions/contributors. The article concludes with some design recommendations and by considering the implications of collectively generated maps for both expert knowledge and traditional state sponsored mapping programs. Numéro de notice : A2014-206 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.1080/15230406.2014.890546 En ligne : https://doi.org/10.1080/15230406.2013.874200 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33109
in Cartography and Geographic Information Science > vol 41 n° 2 (March 2014) . - pp 115 - 124[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2014021 RAB Revue Centre de documentation En réserve L003 Disponible The co-evolution of residential segregation and the built environment at the turn of the 20th century: A Schelling model / Seth Spielman in Transactions in GIS, vol 18 n° 1 (February 2014)
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Titre : The co-evolution of residential segregation and the built environment at the turn of the 20th century: A Schelling model Type de document : Article/Communication Auteurs : Seth Spielman, Auteur ; Patrick Harrison, Auteur Année de publication : 2014 Article en page(s) : pp 25 - 45 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] changement d'occupation du sol
[Termes IGN] environnement
[Termes IGN] Etats-Unis
[Termes IGN] habitat urbain
[Termes IGN] histoire
[Termes IGN] modélisation
[Termes IGN] New Jersey (Etats-Unis)
[Termes IGN] population urbaine
[Termes IGN] répartition géographique
[Termes IGN] système d'information géographique
[Termes IGN] villeRésumé : (Auteur) To what degree does the built environment of cities shape the social environment? In this article we use a Schelling-like agent-based model to consider how changes to the built environment of cities relate to changes in residential segregation by income and ethnicity. To develop this model we exploit insights from a high resolution historical GIS which maps 100% of the population of Newark, NJ in 1880. Newark in 1880 had a complex social landscape characterized by areas of significant social and economic segregation and areas of relative integration. We develop a Schelling model capable of reproducing these residential patterns. We use this model to explore the decentralization of housing, a specific phenomenon associated with the demise of the walking city in the late 19th century. Holding agent preferences constant, but allowing the landscape of the Schelling model to evolve in ways that reflect historical changes to the built environment, produces changes to the social landscape that are also consistent with history. Our work suggests that changes in residential segregation do not necessarily imply changes to individual attitudes and preferences. Changes in residential segregation can be generated by changes to the built environment, specifically the geographic distribution of housing. Numéro de notice : A2014-064 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12014 Date de publication en ligne : 05/02/2013 En ligne : https://doi.org/10.1111/tgis.12014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32969
in Transactions in GIS > vol 18 n° 1 (February 2014) . - pp 25 - 45[article]