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Extending geographical representation to include fields of spatial objects / J. Cova in International journal of geographical information science IJGIS, vol 16 n° 6 (september 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 6 (september 2002) . - pp 509 - 532 Titre : Extending geographical representation to include fields of spatial objects Type de document : Article/Communication Auteurs : J. Cova, Auteur ; Michael F. Goodchild, Auteur Année de publication : 2002 Article en page(s) : pp 509 - 532 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes IGN] base de données localisées [Termes IGN] objet cartographique [Termes IGN] objet géographique [Termes IGN] système d'information géographique [Termes IGN] typologie Résumé : (Auteur) This paper describes a means for linking field and object representations of geographical space. The approach is based on a series of mappings, where locations in a continuous field are mapped to discrete objects. An object in this context is a modeler's conceptualization, as in a viewshed, highway corridor or biological reserve. An object can be represented as a point, line, polygon, network, or other complex spatial type. The relationship between locations in a field and spatial objects may take the form of onetoone, onetomany, manytoone, or manytomany. We present a typology of object fields and discuss issues in their construction, storage, and analysis. Example applications are presented and directions for further research are offered. Numéro de notice : A2002-193 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810210137040 En ligne : https://doi.org/10.1080/13658810210137040 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22108 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-02061	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Spatial data mining for enhanced soil map modelling / C.J. Moran in International journal of geographical information science IJGIS, vol 16 n° 6 (september 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 6 (september 2002) . - pp 533 - 549 Titre : Spatial data mining for enhanced soil map modelling Type de document : Article/Communication Auteurs : C.J. Moran, Auteur ; E. Bui, Auteur Année de publication : 2002 Article en page(s) : pp 533 - 549 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes IGN] base de données localisées [Termes IGN] cartographie thématique [Termes IGN] classification [Termes IGN] exploration de données [Termes IGN] modèle conceptuel de données [Termes IGN] occupation du sol Résumé : (Auteur) The principle of using induction rules based on spatial environmental data to model a soil map has previously been demonstrated. Whilst the general pattern of classes of large spatial extent and those with close association with geology were delineated, small classes and the detailed spatial pattern of the map were less well rendered. Here we examine several strategies to improve the quality of the soil map models generated by rule induction. Terrain attributes that are bettersuited to landscape description at a resolution of 250m are introduced as predictors of soil type. A map sampling strategy is developed. Classification error is reduced by using boosting rather than crossvalidation to improve the model. Further, the benefit of incorporating the local spatial context for each environmental variable into the rule induction is examined. The best model was achieved by sampling in proportion to the spatial extent of the mapped classes, boosting the decision trees, and using spatial contextual information extracted from the environmental variables. Numéro de notice : A2002-194 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810210138715 En ligne : https://doi.org/10.1080/13658810210138715 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22109 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-02061	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A data model for multi-dimensional transportation applications / N. Koncz in International journal of geographical information science IJGIS, vol 16 n° 6 (september 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 6 (september 2002) . - pp 551 - 569 Titre : A data model for multi-dimensional transportation applications Type de document : Article/Communication Auteurs : N. Koncz, Auteur ; T.M. Adams, Auteur Année de publication : 2002 Article en page(s) : pp 551 - 569 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données multidimensionnelles [Termes IGN] coordonnées GPS [Termes IGN] données multidimensionnelles [Termes IGN] gestion prévisionnelle [Termes IGN] modèle conceptuel de données localisées [Termes IGN] modèle conceptuel de données spatio-temporelles [Termes IGN] navigation automobile [Termes IGN] positionnement par GPS [Termes IGN] système d'information géographique [Termes IGN] transport Résumé : (Auteur) The distinctive data management needs of transportation agencies in developing transportation-based applications dictate the presence of essential elements that are beyond existing transportation location referencing system data models. These elements include multidimensional location referencing, multiscale representation, navigation, and temporal GIS. This paper looks at the foundation for these elements, describes the characteristics of these elements and offers solutions through a transportation-based multi dimensional data model. By managing data expressed in one to four dimensions, the Multi Dimensional Location Referencing System (MDLRS) data model allows organizations to implement improved solutions for transportation systems using advanced spatial technologies (e.g. GPS). Numéro de notice : A2002-195 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810210138724 En ligne : https://doi.org/10.1080/13658810210138724 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22110 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-02061	RAB	Revue	Centre de documentation	En réserve L003	Disponible