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A comparison of fuzzy AHP and ideal point methods for evaluating land suitability / M. Elaalem in Transactions in GIS, vol 15 n° 3 (July 2011)  

Public [article]  inTransactions in GIS > vol 15 n° 3 (July 2011) . - pp 329 - 346 Titre : A comparison of fuzzy AHP and ideal point methods for evaluating land suitability Type de document : Article/Communication Auteurs : M. Elaalem, Auteur ; Peter F. Fisher, Auteur ; A. Comber, Auteur Année de publication : 2011 Article en page(s) : pp 329 - 346 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse comparative [Termes IGN] classification automatique [Termes IGN] cultures irriguées [Termes IGN] outil d'aide à la décision [Termes IGN] pertinence [Termes IGN] processus de hiérarchisation analytique Résumé : (Auteur) This article compares two fuzzy approaches to land suitability evaluations, Analytical Hierarchy Process (AHP) and Ideal Point. The methods were evaluated using a case study which models the opportunities for wheat production under irrigation conditions in the north-western region of Jeffara Plain, Libya. A number of relevant soil and landscape criteria were identified through a review of the literature and their weights specified as a result of discussions with local experts. The results of the Fuzzy AHP showed that the majority of the study area has membership values to the set of suitability between 0.40 and 0.50, while the results of the Ideal Point approach revealed most of the study area to have membership values between 0.30 and 0.40. While the Fuzzy AHP and Ideal Point approaches accommodate the continuous nature of many soil properties and produce more intuitive distributions of land suitabilities values, the Fuzzy AHP approach was found to be better than Fuzzy Ideal Point. This was due to the latter's tendency to be biased towards positive and negative ideal values. Numéro de notice : A2011-226 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2011.01260.x Date de publication en ligne : 06/06/2011 En ligne : https://doi.org/10.1111/j.1467-9671.2011.01260.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31004 [article]

Integrating land-cover data with different ontologies: identifying change from inconsistency / A. Comber in International journal of geographical information science IJGIS, vol 18 n° 7 (november 2004)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 18 n° 7 (november 2004) . - pp 691 - 708 Titre : Integrating land-cover data with different ontologies: identifying change from inconsistency Type de document : Article/Communication Auteurs : A. Comber, Auteur ; R. Wadsworth, Auteur ; Peter F. Fisher, Auteur Année de publication : 2004 Article en page(s) : pp 691 - 708 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] analyse comparative [Termes IGN] carte d'occupation du sol [Termes IGN] cohérence des données [Termes IGN] détection de changement [Termes IGN] intégration de données [Termes IGN] jeu de données localisées [Termes IGN] occupation du sol [Termes IGN] ontologie [Termes IGN] Royaume-Uni [Termes IGN] série temporelle Résumé : (Auteur) Spatially coincident land-cover information frequently varies due to technological and political variations. This is especially problematic for timeseries analyses. We present an approach using expert expressions of how the semantics of different datasets relate to integrating temporal time series landcover information where the classification classes have fundamentally changed. We use land-cover mapping in the UK (LCMGB and LCM2000) as example data sets because of the extensive object-based meta-data in the LCM2000. Inconsistencies between the two datasets can arise from random, gross and systematic error and from an actual change in land cover. Locales of possible land-cover change are inferred by comparing characterizations derived from the semantic relations and meta-data. Field visits showed errors of omission to be 21% and errors of commission to be 28%, despite the accuracy limitations of the land-cover information when compared with the field survey component of the Countryside Survey 2000. Numéro de notice : A2004-397 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001705316 En ligne : https://doi.org/10.1080/13658810410001705316 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26924 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-04071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-04072	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]