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Auteur R. Feick |
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Community-based production of geographic information using open source software and Web 2.0 / G. Hall in International journal of geographical information science IJGIS, vol 24 n° 5-6 (may 2010)
[article]
Titre : Community-based production of geographic information using open source software and Web 2.0 Type de document : Article/Communication Auteurs : G. Hall, Auteur ; R. Chipeniuk, Auteur ; R. Feick, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 761 - 781 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] acquisition de données
[Termes IGN] grand public
[Termes IGN] logiciel libre
[Termes IGN] participation du public
[Termes IGN] SIG participatif
[Termes IGN] WebSIGRésumé : (Auteur) This article presents an innovative approach to citizen-led production of Web-based geographic information where new and/or existing digital map features are linked to annotations or commentary and citizens engage in synchronous and/or asynchronous discussion. The article discusses the relationship of the approach to public participation geographic information systems (PPGISs) and the emerging challenges associated with volunteered geographic information. A custom-developed, open source software tool named MapChat is used to facilitate the citizen inputs and discussions. The information generated from applying the approach through a series of community workshops is presented and discussed in light of current issues in PPGIS and volunteered geographic information research. Copyright Taylor & Francis Numéro de notice : A2010-170 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810903213288 En ligne : https://doi.org/10.1080/13658810903213288 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30365
in International journal of geographical information science IJGIS > vol 24 n° 5-6 (may 2010) . - pp 761 - 781[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010032 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010031 RAB Revue Centre de documentation En réserve L003 Disponible A method for examining the spatial dimension of multi-criteria weight sensitivity / R. Feick in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)
[article]
Titre : A method for examining the spatial dimension of multi-criteria weight sensitivity Type de document : Article/Communication Auteurs : R. Feick, Auteur ; G. Brent Hall, Auteur Année de publication : 2004 Article en page(s) : pp 815 - 840 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse multicritère
[Termes IGN] incertitude des données
[Termes IGN] méthode robuste
[Termes IGN] système d'information géographiqueRésumé : (Auteur) There is growing interest in extending GIS to support pluralistic decision-making processes where the perspectives and objectives of different stakeholders must be represented and, if possible, distilled into strategies that satisfy all decision participants. Augmenting GIS capabilities with multi-criteria decision-making (MCDM) methods allows the relative attractiveness of different alternatives (e.g. sites, land-use plans, etc.) to be evaluated in light of subjectively weighted decision criteria. This paper presents a generic methodology for investigating the spatial dimension of multi-criteria weight sensitivity. The methodology is particularly well suited to the spatial domain, as it provides insight into both the robustness of individual stakeholder's evaluations as well as the geographic dimension of weight sensitivity. The methodology is illustrated using a study in which a small group of individuals representing different interests evaluated sites for new tourism development on the island of Grand Cayman, BWI. The results demonstrate how the proposed approach can aid users' understanding of a decision issue and potentially increase confidence in evaluation outputs by providing users with mechanisms to define non-statistical confidence intervals for weights and to visualize weight sensitivity cartographically. The paper concludes by discussing the broader value of this approach in other GIS-MCDM contexts and outlines areas for further research. Numéro de notice : A2004-485 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810412331280185 En ligne : https://doi.org/10.1080/13658810412331280185 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27003
in International journal of geographical information science IJGIS > vol 18 n° 8 (december 2004) . - pp 815 - 840[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-04081 RAB Revue Centre de documentation En réserve L003 Disponible 079-04082 RAB Revue Centre de documentation En réserve L003 Disponible Predicting forest age classes from high spatial resolution remotely sensed imagery using Voronoi polygon aggregation / T. Nelson in Geoinformatica, vol 8 n° 2 (June - August 2004)
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Titre : Predicting forest age classes from high spatial resolution remotely sensed imagery using Voronoi polygon aggregation Type de document : Article/Communication Auteurs : T. Nelson, Auteur ; B. Boots, Auteur ; Michael A. Wulder, Auteur ; R. Feick, Auteur Année de publication : 2004 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agrégation de données
[Termes IGN] dendrochronologie
[Termes IGN] diagramme de Voronoï
[Termes IGN] forêt
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image panchromatique
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] peuplement végétal
[Termes IGN] polygone
[Termes IGN] sylvicultureRésumé : (Auteur) Efficient identification of forest age is useful for forest management and ecological applications. Here, we propose a user-assisted method for determining forest age using high spatial resolution remotely sensed imagery. This method requires individual trees to be extracted from imagery and represented as points. We use a local maximum filter to generate points that are converted to Voronoi polygons. Properties of the Voronoi polygons are correlated with forest age and used to aggregate points (trees) into areas (stands) based on three forest age classes. Accuracy of the aggregation ranges from approximately 68% to 78% and identification of the mature class is more consistent and accurate than the younger classes. Numéro de notice : A2004-168 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1023/B:GEIN.0000017745.92969.31 En ligne : https://doi.org/10.1023/B:GEIN.0000017745.92969.31 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26695
in Geoinformatica > vol 8 n° 2 (June - August 2004)[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-04021 RAB Revue Centre de documentation En réserve L003 Disponible