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Mapping collaboration in open source geospatial ecosystem / Jie Shao in Transactions in GIS, vol 16 n° 4 (August 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 4 (August 2012) . - pp 581 - 597 Titre : Mapping collaboration in open source geospatial ecosystem Type de document : Article/Communication Auteurs : Jie Shao, Auteur ; M. Jackson, Auteur ; Jeremy Morley, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 581 - 597 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] analyse diachronique [Termes IGN] logiciel libre [Termes IGN] programmation informatique [Termes IGN] réseau social Résumé : (Auteur) Over the last decade, there has been a tremendous growth and exploitation of open source geospatial software and technologies. A combination of factors is driving this momentum, including the contributions made by hundreds of developers and the leading role played by the Open Source Geospatial Foundation (OSGeo), aiming primarily to support and promote the collaborative development of open source geospatial technologies and data. This article seeks to map out the social history of collaborative activities within the OSGeo ecosystem. We used the archival logs of developers' contributions, specifically looking for boundary spanning activities where contributions crossed multiple projects. The analysis and visualization of these activities allow us to have a better understanding of the role of boundary spanning in the resourcing of each project, the incubation mechanism advocated by OSGeo, and the significance of the social interrelatedness among projects. The data consisted of the subversion (SVN) commit history made by individual developers in the programming code repository. We applied several network analytical and visualization techniques to explore the data. Our findings indicate that more than one in seven developers spanned multiple projects which potentially had the effects of shaping the projects' directions, and increased knowledge flow and innovation. In addition, the OSGeo's incubation mechanism provided an important encouragement for boundary spanning and increased knowledge sharing. By studying the social history of contributions, further tools can be developed in future to assist tracking of the social history, and make developers mindful of the significance of the interdependence among projects and hence continuously contribute to the health of the OSGeo ecosystem. Numéro de notice : A2012-368 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01305.x Date de publication en ligne : 02/08/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01305.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31814 [article]

Spatial database challenges / M. Jackson in GIM international, vol 23 n° 2 (February 2009)

Public [article]  inGIM international > vol 23 n° 2 (February 2009) . - pp 21 - 23 Titre : Spatial database challenges Type de document : Article/Communication Auteurs : M. Jackson, Auteur Année de publication : 2009 Article en page(s) : pp 21 - 23 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] contrôle qualité [Termes IGN] données localisées [Termes IGN] gestion des connaissances (organisation) [Termes IGN] normalisation [Termes IGN] norme de données localisées [Termes IGN] positionnement par GPS [Termes IGN] service fondé sur la position Résumé : (Auteur) When providing local information, a location-based service (LBS) exploits the geographical position of the mobile device used to access it. The management of very large spatial data databases requires a focus on production and quality control of data, both framework and for LBSs. Progress has lately been made at two levels: system architecture and knowledge management. Standards are key. Copyright Reed Business Information Numéro de notice : A2009-011 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29641 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
061-09021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Modelling house unit density from land cover metrics: a Midwestern US example / P. Hardin in Geocarto international, vol 23 n° 5 (October - November 2008)  

Public [article]  inGeocarto international > vol 23 n° 5 (October - November 2008) . - pp 393 - 411 Titre : Modelling house unit density from land cover metrics: a Midwestern US example Type de document : Article/Communication Auteurs : P. Hardin, Auteur ; M. Jackson, Auteur ; R. Jensen, Auteur Année de publication : 2008 Article en page(s) : pp 393 - 411 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse discriminante [Termes IGN] densité de population [Termes IGN] densité du bâti [Termes IGN] données socio-économiques [Termes IGN] estimation statistique [Termes IGN] image Landsat-ETM+ [Termes IGN] Indiana (Etats-Unis) [Termes IGN] régression multiple [Termes IGN] spatial metrics Résumé : (Auteur) Geographic applications frequently require the gathering and analysis of socioeconomic data. For many nations, these data are normally collected through a census. However, during the intercensal period (5-10 years), these data lose their currency and must be updated. The objective of this project was to estimate housing unit density from Landsat ETM+ imagery in the Terre Haute, IN, USA, region. Modelling was done for 1945 census blocks in the study area containing 30 972 housing units. Landtype, as represented by six cluster classes, was used as the primary surrogate for housing unit density. The percentage of each landtype within the census blocks was calculated. Other landscape metrics representing landtype patch dominance and diversity were also calculated on a per-block basis. Housing unit density within the census block was then modelled as a function of those percentages and metrics using discriminant analysis and multiple regression. The simple correlation between the observed and modelled housing unit density was 0.79. The mean residual error produced by the model was 0.37 housing units per hectare. Copyright Taylor & Francis Numéro de notice : A2008-465 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040801950344 Date de publication en ligne : 05/09/2008 En ligne : https://doi.org/10.1080/10106040801950344 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29534 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-08051	RAB	Revue	Centre de documentation	En réserve L003	Disponible