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Auteur Dante G. Vergara |
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Assessing the performance of linear feature models : An approach to computational inference / Eufenio Y. Arima in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 9 (September 2013)
[article]
Titre : Assessing the performance of linear feature models : An approach to computational inference Type de document : Article/Communication Auteurs : Eufenio Y. Arima, Auteur ; Robert T. Walker, Auteur ; Dante G. Vergara, Auteur Année de publication : 2013 Article en page(s) : pp 847 - 855 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] inférence statistique
[Termes IGN] modèle de simulation
[Termes IGN] objet géographique linéaire
[Termes IGN] réseau routier
[Termes IGN] test de performanceRésumé : (Auteur) A methodology for judging the performance of simulation models that involve linear features is presented taking as its test case a model that produces logging road networks. The approach combines existing methods of accuracy assessment, based on the so-called epsilon band, with the principle of statistical inference. This requires adapting neutral models from landscape ecology to generate a bootstrapped probability distribution reflecting the probabilistic characteristics of sto-chastic networks. The distribution is then used for inferential hypothesis testing, taking as its "null" hypothesis that a net-work has been produced randomly. The assessment method-ology is used to evaluate the road network simulation model under six different parameterizations. Results are compared to findings obtained by the use of fuzzy similarity metrics. The paper argues that the epsilon band method provides confi-dence that model performance departs significantly from a randomized process, and that conclusions are free of at least one class of spurious results. Numéro de notice : A2013-507 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.14358/PERS.79.9.847 En ligne : https://doi.org/10.14358/PERS.79.9.847 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32645
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 9 (September 2013) . - pp 847 - 855[article]