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Higher order vagueness in geographical information: empirical geographical population of type N fuzzy sets / P. Fischer in Geoinformatica, vol 11 n° 3 (September - November 2007)  

Public [article]  inGeoinformatica > vol 11 n° 3 (September - November 2007) . - pp 311 - 330 Titre : Higher order vagueness in geographical information: empirical geographical population of type N fuzzy sets Type de document : Article/Communication Auteurs : P. Fischer, Auteur ; T. Cheng, Auteur ; J. Wood, Auteur Année de publication : 2007 Article en page(s) : pp 311 - 330 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse discriminante [Termes IGN] classification floue [Termes IGN] détection de contours [Termes IGN] Ecosse [Termes IGN] géomorphologie locale [Termes IGN] imprécision géométrique [Termes IGN] sous ensemble flou Résumé : (Auteur) Fuzzy set theory has been suggested as a means for representing vague spatial phenomena, and is widely known for directly addressing some of the issues of vagueness such as the sorites paradox. Higher order vagueness is widely considered a necessary component of any theory of vagueness, but it is not so well known that it too is competently modelled by Type n Fuzzy sets. In this paper we explore the fuzzy representation of higher order vagueness with respect to spatial phenomena. Initially we relate the arguments on philosophical vagueness to Type n Fuzzy sets. As an example, we move on to an empirical generation of spatial Type 2 Fuzzy sets examining the spatial extent of mountain peaks in Scotland. We show that the Type 2 Fuzzy sets can be populated by using alternative parameterisations of a peak detection algorithm. Further ambiguities could also be explored using other parameters of this and other algorithms. We show some novel answers to interrogations of the mountain peaks of Scotland. The conclusion of this work is that higher order vagueness can be populated for Type 2 and higher fuzzy sets. It does not follow that it is always necessary to examine these higher order uncertainties, but a possible advantage in terms of the results of spatial inquiry is demonstrated. Copyright Springer Numéro de notice : A2007-379 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-006-0009-5 En ligne : https://doi.org/10.1007/s10707-006-0009-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28742 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
057-07031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Assessment of a semantic statistical approach to detecting land covers change using inconsistent data sets / A. Comber in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 8 (August 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 8 (August 2004) . - pp 931 - 938 Titre : Assessment of a semantic statistical approach to detecting land covers change using inconsistent data sets Type de document : Article/Communication Auteurs : A. Comber, Auteur ; P. Fischer, Auteur ; R. Wadsworth, Auteur Année de publication : 2004 Article en page(s) : pp 931 - 938 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse diachronique [Termes IGN] base de données d'occupation du sol [Termes IGN] classification dirigée [Termes IGN] détection de changement [Termes IGN] données de terrain [Termes IGN] interopérabilité sémantique [Termes IGN] jeu de données localisées [Termes IGN] métadonnées géographiques [Termes IGN] occupation du sol [Termes IGN] ontologie [Termes IGN] Royaume-Uni [Termes IGN] statistique descriptive Résumé : (Auteur) A semantic, statistical approach to reconciling data with different ontologies is introduced. It was applied to UK land cover datasets from 1990 and 2000 in order to identify land cover change. The approach combined expression of expert opinion about how the semantics of the two datasets relate with spectral homogeneity metadata. A sample of the changes identified was assessed by field validation. Change was identified in 41 percent of the visited parcels, and all of the false positives were found to be due to classification error in either dataset. Thus, the approach reliably identifies inconsistency between two datasets, and the results indicate the suitability of uncertainty formalisms. The inclusion of extensive object-level metadata by the data producers greatly facilitates practical solutions to problems of data interoperability. Numéro de notice : A2004-308 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.8.931 En ligne : https://doi.org/10.14358/PERS.70.8.931 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26835 [article]

Mapping urban air pollution using GIS: a regression-based approach / D.J. Briggs in International journal of geographical information science IJGIS, vol 11 n° 7 (October 1997)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 11 n° 7 (October 1997) . - pp 699 - 718 Titre : Mapping urban air pollution using GIS: a regression-based approach Type de document : Article/Communication Auteurs : D.J. Briggs, Auteur ; S. Collins, Auteur ; P. Elliott, Auteur ; P. Fischer, Auteur ; et al., Auteur Année de publication : 1997 Article en page(s) : pp 699 - 718 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] Amsterdam (Pays-Bas) [Termes IGN] cartographie thématique [Termes IGN] pollution atmosphérique [Termes IGN] Prague (République tchèque) [Termes IGN] système d'information géographique [Termes IGN] trafic routier Résumé : (Auteur) As part of the EU-funded SAVIAH project, a regression-based methodology for mapping traffic-related air pollution was developped within a GIS environment. Mapping was carried out for NO in Amsterdam, Huddersfield and Prague. A GIS was established with data on monitored air pollution levels, road network, traffic volume, land cover, altitude and other locallly determined features. Numéro de notice : A1997-107 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/136588197242158 En ligne : https://doi.org/10.1080/136588197242158 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=25962 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-97071	RAB	Revue	Centre de documentation	En réserve L003	Disponible