Centre de documentation
scientifique

Dépouillements

Modelling the spatial allocation of second-generation feedstock (lignocellulosic crops) in Europe / Carolina Perpina Castillo in International journal of geographical information science IJGIS, vol 29 n° 10 (October 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 10 (October 2015) . - pp 1807 - 1825 Titre : Modelling the spatial allocation of second-generation feedstock (lignocellulosic crops) in Europe Type de document : Article/Communication Auteurs : Carolina Perpina Castillo, Auteur ; Carlo Lavalle, Auteur ; Claudia Baranzelli, Auteur ; Sarah Mubareka, Auteur Année de publication : 2015 Article en page(s) : pp 1807 - 1825 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] allocation [Termes IGN] analyse de sensibilité [Termes IGN] analyse multicritère [Termes IGN] bioénergie [Termes IGN] changement d'utilisation du sol [Termes IGN] lignocellulose [Termes IGN] Union Européenne Résumé : (auteur) This paper presents a modelling approach for the spatial allocation of second-generation feedstock (lignocellulosic crops) under a reference policy scenario in European Union of 28 Member State (EU-28). The land-use modelling platform (LUMP) was used in order to simulate the land-use changes from 2010 to 2050. Within the LUMP, the land demand for these lignocellulosic energy crops was derived from the Common Agricultural Policy Regionalised Impact analysis model. Suitability maps were generated for two main energy crop groups: herbaceous and woody lignocellulosic crops, using multicriteria analysis techniques. Biophysical factors (climate, soil properties and topographical aspects), natural and artificial constraints and location-specific land categories were defined as relevant components within the platform. A sensitivity analysis determined the most influential factors to be temperature, precipitation, length of growing period and number of frost-free days. The results of the modelling exercise in the LUMP reflect the significant renewable energy contribution from energy crops in EU-28, which was estimated to be between 2.3 EJ/year (in 2020) and 6.3 EJ/year (in 2050), accounting for 2.3% and 9.6% of total energy consumption in the EU-28. The results of the allocation were aggregated at regional level to analyse trends. Regions with considerably high demand were identified in Germany, the United Kingdom and Poland. Numéro de notice : A2015-533 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1051486 En ligne : https://doi.org/10.1080/13658816.2015.1051486 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77781 [article]

Generation of navigation graphs for indoor space / L. Yang in International journal of geographical information science IJGIS, vol 29 n° 10 (October 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 10 (October 2015) . - pp 1737 - 1756 Titre : Generation of navigation graphs for indoor space Type de document : Article/Communication Auteurs : L. Yang, Auteur ; Michael F. Worboys, Auteur Année de publication : 2015 Article en page(s) : pp 1737 - 1756 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] graphe [Termes IGN] graphe topologique [Termes IGN] modèle géométrique du bâti [Termes IGN] positionnement en intérieur Résumé : (auteur) This article proposes a comprehensive approach to computing a navigation graph for an indoor space. It focuses on a single floor, but the work is easily extensible to multi-level spaces. The approach proceeds by using a formal model, based on the combinatorial map but enhanced with geometric and semantic information. The process is almost fully automatic, taking as input the building plans providing the geometric structure of the floors and semantics of the building, such as functions of interior spaces, portals, etc. One of the novel aspects in this work was the use of combinatorial maps and their duals to provide a compact formal description of the topology and connectivity of the indoor structure represented by a connected, embedded graph. While making use of existing libraries for the more routine computational geometry involved, the research develops several new algorithms, including one for computing the local kernel of a region. The process is evaluated by means of a case study using part of a university building. Numéro de notice : A2015-610 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1041141 En ligne : https://doi.org/10.1080/13658816.2015.1041141 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78039 [article]

SELF: Semantically Enriched Line simpliFication / Emmanuel Stefanakis in International journal of geographical information science IJGIS, vol 29 n° 10 (October 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 10 (October 2015) . - pp 1826 - 1844 Titre : SELF: Semantically Enriched Line simpliFication Type de document : Article/Communication Auteurs : Emmanuel Stefanakis, Auteur Année de publication : 2015 Article en page(s) : pp 1826 - 1844 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] attribut sémantique [Termes IGN] extension temporelle [Termes IGN] généralisation cartographique automatisée [Termes IGN] polyligne [Termes IGN] représentation cartographique [Termes IGN] simplification de contour [Termes IGN] système d'extension spatial Résumé : (Auteur) Linear features are represented on paper or digital maps with polyline geometries. Sampling, discretization, and generalization processes result in polylines of a length smaller than that of the actual features. In addition, semantics associated to the original line features may be lost. This becomes more significant for coarse sampling and/or high degree of generalization. This paper introduces a data structure that can alleviate this problem, by preserving the attributes and semantic characteristics associated to the original features in cartographic representation. The structure can handle both linear features and polygon outlines. Various compression methods have been examined. The structure has been implemented and tested with both synthetic and real datasets. Extensions to spatiotemporal features, like trajectories, have also been considered. Numéro de notice : A2015-611 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1053092 En ligne : https://doi.org/10.1080/13658816.2015.1053092 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78041 [article]

A concentration-based approach to data classification for choropleth mapping / Robert G. Cromley in International journal of geographical information science IJGIS, vol 29 n° 10 (October 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 10 (October 2015) . - pp 1845 - 1863 Titre : A concentration-based approach to data classification for choropleth mapping Type de document : Article/Communication Auteurs : Robert G. Cromley, Auteur ; Shuowei Zhang, Auteur ; Natalia Vorotyntseva, Auteur Année de publication : 2015 Article en page(s) : pp 1845 - 1863 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique [Termes IGN] carte choroplèthe [Termes IGN] classification [Termes IGN] courbe de Lorenz [Termes IGN] données statistiques [Termes IGN] précision des données Résumé : (Auteur) The choropleth map is a device used for the display of socioeconomic data associated with an areal partition of geographic space. Cartographers emphasize the need to standardize any raw count data by an area-based total before displaying the data in a choropleth map. The standardization process converts the raw data from an absolute measure into a relative measure. However, there is recognition that the standardizing process does not enable the map reader to distinguish between low–low and high–high numerator/denominator differences. This research uses concentration-based classification schemes using Lorenz curves to address some of these issues. A test data set of nonwhite birth rate by county in North Carolina is used to demonstrate how this approach differs from traditional mean–variance-based systems such as the Jenks’ optimal classification scheme. Numéro de notice : A2015-612 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1058388 En ligne : https://doi.org/10.1080/13658816.2015.1058388 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78042 [article]