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Similarity weighted instance-based learning for the generation of transition potentials in land use change modeling / F. Sangermano in Transactions in GIS, vol 14 n° 5 (October 2010)  

Public [article]  inTransactions in GIS > vol 14 n° 5 (October 2010) . - pp 569 - 580 Titre : Similarity weighted instance-based learning for the generation of transition potentials in land use change modeling Type de document : Article/Communication Auteurs : F. Sangermano, Auteur ; J. Ronald Eastman, Auteur ; H. Zhu, Auteur Année de publication : 2010 Article en page(s) : pp 569 - 580 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] algorithme d'apprentissage [Termes IGN] analyse comparative [Termes IGN] apprentissage automatique [Termes IGN] classification barycentrique [Termes IGN] déboisement [Termes IGN] modélisation spatio-temporelle [Termes IGN] Perceptron multicouche [Termes IGN] similitude [Termes IGN] traitement de données localisées [Termes IGN] utilisation du sol Résumé : (Auteur) Land use change models are increasingly being used to evaluate the effect of land change on climate and biodiversity and to generate scenarios of deforestation. Although many methods are available to model land transition potentials, they are usually not user-friendly and require the specification of many parameters, making the task difficult for decision makers not familiar with the tools, as well as making the process difficult to interpret. In this article we propose a simple method for modeling transition potentials. SimWeight is an instance-based learning algorithm based on the logic of the K-Nearest Neighbor algorithm. The method identifies the relevance of each driver variable and predicts the transition potential of locations given known instances of change. A case study was used to demonstrate and validate the method. Comparison of results with the Multi-Layer Perceptron neural network (MLP) suggests that SimWeight performs similarly in its capacity to predict transition potentials, without the need for complex parameters. Another advantage of SimWeight is that it is amenable to parallelization for deployment on a cloud computing platform. Numéro de notice : A2010-496 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2010.01226.x Date de publication en ligne : 23/11/2010 En ligne : https://doi.org/10.1111/j.1467-9671.2010.01226.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30689 [article]

Reconciliation of temporal heterogeneity in evolving information systems / H. Zhu in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 14 n° 6 (novembre - décembre 2009)

Public [article]  inIngénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI > vol 14 n° 6 (novembre - décembre 2009) . - pp 59 - 74 Titre : Reconciliation of temporal heterogeneity in evolving information systems Type de document : Article/Communication Auteurs : H. Zhu, Auteur ; S. Madnick, Auteur Année de publication : 2009 Article en page(s) : pp 59 - 74 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information [Termes IGN] hétérogénéité sémantique [Termes IGN] ontologie [Termes IGN] prise en compte du contexte [Termes IGN] programmation en logique [Termes IGN] SIG temporel Résumé : (Auteur) The change in meaning of data over time poses significant challenges for the use of that data. These challenges exist in the use of an individual data source and are further compounded with the integration of multiple sources. In this paper, we identify three types of temporal semantic heterogeneity. We propose a solution based on extensions to the Context Interchange framework, which has mechanisms for capturing semantics using ontology and temporal context. It also provides a mediation service that automatically reconciles semantic conflicts. We show the feasibility of this approach with a prototype that implements a subset of the proposed extensions. Numéro de notice : A2009-466 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74871 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
093-09061	SL	Revue	Centre de documentation	Revues en salle	Disponible

RUSLE [revised universal soil loss equation] applied in a GIS framework: calculating the LS factor and deriving homogenous patches for estimating soil loss / L.A. Lewis in International journal of geographical information science IJGIS, vol 19 n° 7 (august 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 7 (august 2005) . - pp 809 - 829 Titre : RUSLE [revised universal soil loss equation] applied in a GIS framework: calculating the LS factor and deriving homogenous patches for estimating soil loss Type de document : Article/Communication Auteurs : L.A. Lewis, Auteur ; G. Verstraeten, Auteur ; H. Zhu, Auteur Année de publication : 2005 Article en page(s) : pp 809 - 829 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse comparative [Termes IGN] érosion [Termes IGN] Flandre (Belgique) [Termes IGN] IDRISI [Termes IGN] Massachusetts (Etats-Unis) [Termes IGN] modèle numérique de terrain [Termes IGN] modèle RUSLE [Termes IGN] surveillance géologique [Termes IGN] système d'information géographique Résumé : (Auteur) The RUSLE (Revised Universal Soil Loss Equation) is integrated within a GIS framework to calculate soil loss spatially. For this module, algorithms and procedures were developed to derive the slope length factor (L) and steepness factor (S) from a DEM, then integrated with the R, K, C, and P factors to develop homogeneous patches (sub-units) within each field or river basin. Soil loss is determined for each patch within a study unit, and then combined to determine the fields' or river basin's average annual and total soil loss. Two case studies are presented. The first case study, in central Massachusetts, compares estimated soil loss values obtained for individual fields using the Idrisi RUSLE module to USDA-NRCS RUSLE field data. While soil loss results were similar, the RUSLE module allows fields to be partitioned into more similar units than practical in the field. This permits detailed spatial analysis of soil-loss patterns. The second case study compares soil-loss estimates for a catchment in southwestern Flanders, Belgium. This model-model comparison contrasts the results from the RUSLE module to the WATEM model-a grid cell based model based on the USLE/RUSLE but conceptualized in a multi-flow context. Results between the predicted soil losses utilizing the two different approaches are significantly correlated. However, estimated soil losses are consistently higher for the WATEM model. This likely reflects the differences between how the two models compute L as well as the contribution of ephemeral gullies and flow convergence which are incorporated in WATEM but not in RUSLE. Numéro de notice : A2005-356 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810500105705 En ligne : https://doi.org/10.1080/13658810500105705 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27492 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-05071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05072	RAB	Revue	Centre de documentation	En réserve L003	Disponible