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Support vector machines for urban growth modeling / B. Huang in Geoinformatica, vol 14 n° 1 (January 2010)  

Public [article]  inGeoinformatica > vol 14 n° 1 (January 2010) . - pp 83 - 99 Titre : Support vector machines for urban growth modeling Type de document : Article/Communication Auteurs : B. Huang, Auteur ; C. Xie, Auteur ; R. Tay, Auteur Année de publication : 2010 Article en page(s) : pp 83 - 99 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] apprentissage automatique [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] croissance urbaine [Termes IGN] Delaware (Etats-Unis) [Termes IGN] modèle de simulation [Termes IGN] régression logistique [Termes IGN] utilisation du sol Résumé : (Auteur) This paper presents a novel method to model urban land use conversion using support vector machines (SVMs), a new generation of machine learning algorithms used in the classification and regression domains. This method derives the relationship between rural-urban land use change and various factors, such as population, distance to road and facilities, and surrounding land use. Our study showed that SVMs are an effective approach to estimating the land use conversion model, owing to their ability to model non-linear relationships, good generalization performance, and achievement of a global and unique optimum. The rural-urban land use conversions of New Castle County, Delaware between 1984-1992, 1992-1997, and 1997-2002 were used as a case study to demonstrate the applicability of SVMs to urban expansion modeling. The performance of SVMs was also compared with a commonly used binomial logistic regression (BLR) model, and the results, in terms of the overall modeling accuracy and McNamara's test, consistently corroborated the better performance of SVMs. Copyright Springer Numéro de notice : A2010-012 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-009-0077-4 Date de publication en ligne : 25/02/2009 En ligne : https://doi.org/10.1007/s10707-009-0077-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30208 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
057-2010011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Spatiotemporal analysis of rural-urban land conversion / B. Huang in International journal of geographical information science IJGIS, vol 23 n°3-4 (march - april 2009)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 23 n°3-4 (march - april 2009) . - pp 379 - 398 Titre : Spatiotemporal analysis of rural-urban land conversion Type de document : Article/Communication Auteurs : B. Huang, Auteur ; L. Zhang, Auteur ; B. Wu, Auteur Année de publication : 2009 Article en page(s) : pp 379 - 398 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatio-temporelle [Termes IGN] conversion [Termes IGN] géostatistique [Termes IGN] milieu rural [Termes IGN] milieu urbain [Termes IGN] régression logistique [Termes IGN] utilisation du sol Résumé : (Auteur) Understanding the complexity of urban expansion requires an analysis of the factors influencing the spatial and temporal processes of rural-urban land conversion. This study aims at building a statistical land conversion model to assist in understanding land use change patterns. Specifically, GIS coupled with a logistic regression model and exponential smoothing techniques is used for exploring the effects of various factors on land use change. These factors include population density, slope, proximity to roads, and surrounding land use, and their influence on land use change is studied for generating a predictive model. Methods to reduce spatial autocorrelation in a logistic regression framework are also discussed. Primarily, an optimal sampling scheme that can eliminate spatial autocorrelation while maintaining adequate samples to allow the model to achieve the comparable accuracy as the spatial autoregressive model is developed. Since many of the previous studies on modeling the spatial complexity of urban growth ignored temporal complexity, a modified exponential smoothing technique is employed to produce a smoothed model from a series of bi-temporal models obtained from different time periods. The proposed model is validated using the multi-temporal land use data in New Castle County, DE, USA. It is demonstrated that our approach provides an effective option for multi-temporal land use change modeling and the modeling results help interpret the land use change patterns. Numéro de notice : A2009-155 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802119685 En ligne : https://doi.org/10.1080/13658810802119685 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78209 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-09021	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-09022	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Seeking the Pareto front for multiobjective spatial optimization problems / B. Huang in International journal of geographical information science IJGIS, vol 22 n° 4-5 (april 2008)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 22 n° 4-5 (april 2008) . - pp 507 - 526 Titre : Seeking the Pareto front for multiobjective spatial optimization problems Type de document : Article/Communication Auteurs : B. Huang, Auteur ; P. Fery, Auteur ; L. Xue, Auteur ; Y. Wang, Auteur Année de publication : 2008 Article en page(s) : pp 507 - 526 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] approximation [Termes IGN] erreur systématique [Termes IGN] optimisation (mathématiques) [Termes IGN] réseau routier [Termes IGN] Singapour [Termes IGN] système d'information géographique Résumé : (Auteur) Spatial optimization problems, such as route selection, usually involve multiple, conflicting objectives relevant to locations. An ideal approach to solving such multiobjective optimization problems (MOPs) is to find an evenly distributed set of Pareto-optimal alternatives, which is capable of representing the possible trade-off among different objectives. However, these MOPs are commonly solved by combining the multiple objectives into a parametric scalar objective, in the form of a weighted sum function. It has been found that this method fails to produce a set of well spread solutions by disregarding the concave part of the Pareto front. In order to overcome this ill-behaved nature, a novel adaptive approach has been proposed in this paper. This approach seeks to provide an unbiased approximation of the Pareto front by tuning the search direction in the objective space according to the largest unexplored region until a set of well-distributed solutions is reached. To validate the proposed methodology, a case study on multiobjective routing has been performed using the Singapore road network with the support of GIS. The experimental results confirm the effectiveness of the approach. Copyright Taylor & Francis Numéro de notice : A2008-152 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701492365 En ligne : https://doi.org/10.1080/13658810701492365 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29147 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-08031	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-08032	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A shortest path algorithm with novel heuristics for dynamic transportation networks / B. Huang in International journal of geographical information science IJGIS, vol 21 n° 6-7 (july 2007)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 21 n° 6-7 (july 2007) . - pp 625 - 644 Titre : A shortest path algorithm with novel heuristics for dynamic transportation networks Type de document : Article/Communication Auteurs : B. Huang, Auteur ; Q. Wu, Auteur ; F.B. Zhan, Auteur Année de publication : 2007 Article en page(s) : pp 625 - 644 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] chemin le plus court, algorithme du [Termes IGN] méthode heuristique [Termes IGN] réseau routier [Termes IGN] trafic routier Résumé : (Auteur) Finding an optimal route in dynamic real-time transportation networks is a critical problem for vehicle navigation. Existing approaches are either too complex or incapable of managing complex circumstances where both the location of a mobile object and traffic conditions change over time. In this paper, we propose an incremental search approach with novel heuristics based on a variation of the A* algorithm-Lifelong Planning A*. In addition, we suggest using an ellipse to prune the unnecessary nodes to be scanned in order to speed up the dynamic search process. The proposed algorithm determines the shortest-cost path between a moving object and its destination by continually adapting to the dynamic traffic conditions, while making use of the previous search results. Experimental results evince that the proposed algorithm performs significantly better than the well-known A* algorithm. Copyright Taylor & Francis Numéro de notice : A2007-263 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810601079759 En ligne : https://doi.org/10.1080/13658810601079759 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28626 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-07041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-07042	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Pattern matching for heterogeneous geodata sources using attributed relational graph and probabilistic relaxation / S. Yi in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 6 (June 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 6 (June 2007) . - pp 663 - 670 Titre : Pattern matching for heterogeneous geodata sources using attributed relational graph and probabilistic relaxation Type de document : Article/Communication Auteurs : S. Yi, Auteur ; B. Huang, Auteur ; C. Wang, Auteur Année de publication : 2007 Article en page(s) : pp 663 - 670 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] appariement de formes [Termes IGN] données hétérogènes [Termes IGN] données multisources [Termes IGN] graphe relationnel [Termes IGN] information sémantique [Termes IGN] modèle sémantique de données Résumé : (Auteur) Information retrieval and intelligent search among heterogeneous data sources still continue to be challenging tasks. In this study, an attributed relational graph was employed to model the semantic information of heterogeneous geodata sources. Based on the attributed relational graphs, probabilistic relaxation was employed for pattern matching between different data sources. The initial probability and compatibility coefficients were calculated based on the combined evidence from semi-structured geodata sources and the characteristics of discrete and categorical variables. Experiments on automatic pattern matching were carried out and the results demonstrated the effectiveness of the proposed approach in element mapping between heterogeneous data sources. Copyright ASPRS Numéro de notice : A2007-297 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.6.663 En ligne : http://dx.doi.org/10.14358/PERS.73.6.663 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28660 [article]

GIS and genetic algorithms for hazmat route planning with security considerations / B. Huang in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)  

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An object model parametric polymorphism for dynamic segmentation / B. Huang in International journal of geographical information science IJGIS, vol 17 n° 4 (june 2003)  

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An integration of GIS, virtual reality and the Internet for visualization, analysis and exploration of spatial data / B. Huang in International journal of geographical information science IJGIS, vol 15 n° 5 (july 2001)  

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