Centre dedocumentation
scientifique

An impressionistic cartographic solution for base map land cover with coarse pixel data / Paulo Raposo in Cartographic perspectives, n° 83 (2016)  

Public [article]  inCartographic perspectives > n° 83 (2016) . - pp 5 - 21 Titre : An impressionistic cartographic solution for base map land cover with coarse pixel data Type de document : Article/Communication Auteurs : Paulo Raposo, Auteur ; Cynthia A. Brewer, Auteur ; Kevin Sparks, Auteur Année de publication : 2016 Article en page(s) : pp 5 - 21 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] ArcGIS [Termes IGN] carte d'occupation du sol [Termes IGN] carte topographique [Termes IGN] données maillées [Termes IGN] échantillonnage de données [Termes IGN] généralisation cartographique [Termes IGN] généralisation de base de données [Termes IGN] incertitude géométrique [Vedettes matières IGN] Généralisation Résumé : (auteur) Several everyday cartography applications do not require sharply precise base maps, and in fact benefit from their generalization or deliberate obscuration, such as tourist or transit maps. Additionally, raster data fine enough for a given map scale are not always available. We present a method of creating an impressionistic land cover base map for topographic mapping in which the above two conditions are true, using the National Land Cover Database (NLCD) of the US Geological Survey (USGS). The method is based on reclassification, upsampling, constrained randomization at class boundary edges, and deliberate use of colors with very similar lightness values. The method spans both scientific geospatial data treatment and artistic cartographic design, and both generalizes and enhances the data. The processing, automated in ArcGIS™, is detailed, and examples of the product are provided. Numéro de notice : A2016--124 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.14714/CP83.1351 En ligne : http://dx.doi.org/10.14714/CP83.1351 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84968 [article]

Model generalization of two different drainage patterns by self-organizing maps / Alper Sen in Cartography and Geographic Information Science, vol 41 n° 2 (March 2014)  

Public [article]  inCartography and Geographic Information Science > vol 41 n° 2 (March 2014) . - pp 151 - 165 Titre : Model generalization of two different drainage patterns by self-organizing maps Type de document : Article/Communication Auteurs : Alper Sen, Auteur ; Turkay Gokgoz, Auteur ; Monika Sester, Auteur Année de publication : 2014 Article en page(s) : pp 151 - 165 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte de Kohonen [Termes IGN] Etats-Unis [Termes IGN] généralisation de base de données [Termes IGN] réseau hydrographique [Termes IGN] réseau neuronal artificiel [Vedettes matières IGN] Généralisation Résumé : (Auteur) In this study, we develop a new method using self-organizing maps (SOMs) for the selection of hydrographic model generalization. The most suitable attributes of the stream objects are used as input variables to the SOM. The attributes were weighted using Pearson’s chi-square independence test. We used the Radical Law to determine how many features should be selected, and an incremental approach was developed to determine which clusters should be selected from the SOM. Two drainage patterns (dendritic and modified basic) were obtained from the National Hydrography Datasets of United States Geological Survey at 1:24,000-scale (high resolution) and used in order to derive stream networks at 1:100,000-scale (medium resolution). The 1:100,000-scale stream networks, derived in accordance with the proposed approach, are similar to those in the original maps in both quantity and visual aspects. Stream density and pattern were maintained in each subunit, and continuous and semantically correct networks were obtained. Numéro de notice : A2014-208 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/15230406.2013.877231 En ligne : https://doi.org/10.1080/15230406.2013.877231 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33111 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2014021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Abstracting geographic information in a data rich world / Dirk Burghardt (2014)

Public Titre : Abstracting geographic information in a data rich world : Methodologies and applications of map generalisation Type de document : Monographie Auteurs : Dirk Burghardt, Éditeur scientifique ; Cécile Duchêne , Éditeur scientifique ; William A Mackaness, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Importance : 408 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-319-00202-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] généralisation cartographique automatisée [Termes IGN] généralisation de base de données [Termes IGN] intégration de données [Termes IGN] spécification de contenu [Termes IGN] structure de données localisées [Termes IGN] système d'information géographique [Vedettes matières IGN] Généralisation Résumé : (Editeur) Research in the field of automated generalisation has faced new challenges in recent years as a result of technological developments in web-based processing, new visualisation paradigms and access to very large volumes of multi-source data generated by sensors and humans. In these contexts, map generalisation needs to underpin ‘on-demand mapping’, a form of mapping that responds to individual user requirements in the thematic selection and visualisation of geographic information. It is this new impetus that drives the research of the ICA Commission on Generalisation and Multiple Representation (for example through its annual workshops, biannual tutorials and publications in international journals). This book has a coherent structure, each chapter focusing on core concepts and tasks in the map generalisation towards on-demand mapping. Each chapter presents a state-of-the-art review, together with case studies that illustrate the application of pertinent generalisation methodologies. The book addresses issues from data gathering to multi scaled outputs. Thus there are chapters devoted to defining user requirements in handling specifications, and in the application and evaluation of map generalisation algorithms. It explores the application of generalisation methodologies in the context of growing volumes of data and the increasing popularity of user generated content. Note de contenu : 1. Map Generalisation: Fundamental to the Modelling and Understanding of Geographic Space. 2. Map Specifications and User Requirements. 3. Modelling Geographic Relationships in Automated Environments 4. Data Structures for Continuous Generalisation: tGAP and SSC. 5. Integrating and Generalising Volunteered Geographic Information 6. Generalisation Operators 7. Process Modelling, Web Services and Geoprocessing. 8. Terrain Generalisation. 9. Evaluation in Generalisation 10. Generalisation in the Context of Schematised Maps 11. Generalisation in Practice Within National Mapping Agencies 12. Conclusion: Major Achievements and Research Challenges in Generalisation Numéro de notice : 22152 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif nature-HAL : DirectOuvrColl/Actes DOI : 10.1007/978-3-319-00203-3 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73835

Contient

• Abstracting geographic information in a data rich world, ch. 1. Map generalisation: fundamental to the modelling and understanding of geographic space / William A Mackaness (2014)  
• Abstracting geographic information in a data rich world, ch. 2. Map specifications and user requirements / Sandrine Balley (2014)  
• Abstracting geographic information in a data rich world, ch. 3. Modelling geographic relationships in automated environments / Guillaume Touya (2014)  
• Abstracting geographic information in a data rich world, ch. 7. Process modelling, web services and geoprocessing / Nicolas Regnauld (2014)  
• Abstracting geographic information in a data rich world, ch. 11. Generalisation in practice within national mapping agencies / Cécile Duchêne (2014)  
• Abstracting geographic information in a data rich world, ch. 12. Conclusion: major achievements and research challenges in generalisation / Dirk Burghardt (2014)  

Réservation

Réserver ce document

Exemplaires (2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
22152-01	37.10	Livre	Centre de documentation	Géomatique	Disponible
22152-02	37.10	Livre	Centre de documentation	Géomatique	Disponible

Using pattern-oriented modeling (POM) to cope with uncertainty in multi-scale agent-based models of land change / Nicholas R. Magliocca in Transactions in GIS, vol 17 n° 6 (December 2013)  

Public [article]  inTransactions in GIS > vol 17 n° 6 (December 2013) . - pp 883 - 900 Titre : Using pattern-oriented modeling (POM) to cope with uncertainty in multi-scale agent-based models of land change Type de document : Article/Communication Auteurs : Nicholas R. Magliocca, Auteur ; Erle C. Ellis, Auteur Année de publication : 2013 Article en page(s) : pp 883 - 900 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] aide à la décision [Termes IGN] changement d'occupation du sol [Termes IGN] généralisation de base de données [Termes IGN] incertitude des données [Termes IGN] occupation du sol [Termes IGN] représentation multiple [Termes IGN] système multi-agents [Termes IGN] utilisation du sol Résumé : (Auteur) Local land-use and -cover changes (LUCCs) are the result of both the decisions and actions of individual land-users, and the larger global and regional economic, political, cultural, and environmental contexts in which land-use systems are embedded. However, the dearth of detailed empirical data and knowledge of the influences of global/regional forces on local land-use decisions is a substantial challenge to formulating multi-scale agent-based models (ABMs) of land change. Pattern-oriented modeling (POM) is a means to cope with such process and parameter uncertainty, and to design process-based land change models despite a lack of detailed process knowledge or empirical data. POM was applied to a simplified agent-based model of LUCC to design and test model relationships linking global market influence to agents’ land-use decisions within an example test site. Results demonstrated that evaluating alternative model parameterizations based on their ability to simultaneously reproduce target patterns led to more realistic land-use outcomes. This framework is promising as an agent-based virtual laboratory to test hypotheses of how and under what conditions driving forces of land change differ from a generalized model representation depending on the particular land-use system and location. Numéro de notice : A2013-674 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12012 Date de publication en ligne : 08/01/2013 En ligne : https://doi.org/10.1111/tgis.12012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32810 [article]

A road network selection process based on data enrichment and structure detection / Guillaume Touya in Transactions in GIS, vol 14 n° 5 (October 2010)    

Public [article]  inTransactions in GIS > vol 14 n° 5 (October 2010) . - pp 595 - 614 Titre : A road network selection process based on data enrichment and structure detection Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur Année de publication : 2010 Article en page(s) : pp 595 - 614 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carrefour [Termes IGN] Clarity (plateforme de généralisation) [Termes IGN] échangeur routier [Termes IGN] généralisation de base de données [Termes IGN] prise en compte du contexte [Termes IGN] réseau routier [Termes IGN] théorie des graphes [Vedettes matières IGN] Généralisation Résumé : (Auteur) In the context of geographical database generalization, this article deals with a generic process for road network selection. It is based on the geographical context, which is made explicit, and on the preservation of characteristic structure. It relies on literature that is adapted and collected. The first step is to detect significant structures and patterns of the road network such as roundabouts or highway interchanges. It allows the initial dataset to be enriched with explicit geographic structures that were implicit in the initial data. It helps both to make the geographical context explicit and to preserve characteristic structures. Then this enrichment is used as knowledge input for the following step: that is, the selection of roads in rural areas using graph theory techniques. After that, urban roads are selected by means of a block aggregation complex algorithm. Continuity between urban and rural areas is guaranteed by modelling continuity using strokes. Finally, the previously detected characteristic structures are typified to maintain their properties in the selected network. This automated process has been fully implemented on Clarity™ and tested on large datasets. Numéro de notice : A2010-639 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2010.01215.x Date de publication en ligne : 23/11/2010 En ligne : https://doi.org/10.1111/j.1467-9671.2010.01215 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90688 [article]

Documents numériques

peut être téléchargé A Road Network Selection Process - preprint Adobe Acrobat PDF

Advances in GIScience, Proceedings of the 12th AGILE Conference [AGILE 2009] / Monika Sester (2009)  

Permalink

Generalization of 3D building data based on a scale-space approach / A. Forberg in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)  

Permalink

Thematic knowledge for the generalization of land use data / Wenxiu Gao in Cartographic journal (the), vol 41 n° 3 (December 2004)  

Permalink

A structural approach to the model generalization of an urban street network / Bin Jiang in Geoinformatica, vol 8 n° 2 (June - August 2004)  

Permalink

Vers une réconciliation des experts et des systèmes : expériences d’utilisation de méthodes d’apprentissage automatique pour la généralisation et l’intégration des bases de données géographiques / Sébastien Mustière (2004) 

Permalink

Why and how evaluating generalised data ? / Sylvain Bard (2004)  

Permalink

Automated aggregation of geographic objects / J.W.N. van Smaalen (2003)

Permalink

Restitution et modélisation des paysages pour la production cartographique à partir d'imagerie aéroportée / Hervé Le Men (2003) 

Permalink

Workshop on progress in automated map generalization, IGN, St Mandé (Paris), France, 28 - 30 April 2003 / Commission on map generalization ICA (2003)  

Permalink

Automatic generalisation of 3D building models / Martin Kada in GIS Geo-Informations-Systeme, vol 2002 n° 9 (September 2002)

Permalink