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ASSURE : a model for the simulation of urban expansion and intra-urban social segregation / Karolien Vermeiren in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)
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Titre : ASSURE : a model for the simulation of urban expansion and intra-urban social segregation Type de document : Article/Communication Auteurs : Karolien Vermeiren, Auteur ; Matthias Vanmaercke, Auteur ; Joris Beckers, Auteur ; Anton Van Rompaey, Auteur Année de publication : 2016 Article en page(s) : pp 2377 - 2400 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] accessibilité
[Termes IGN] aide à la décision
[Termes IGN] croissance urbaine
[Termes IGN] géographie sociale
[Termes IGN] modèle de simulation
[Termes IGN] modèle dynamique
[Termes IGN] planification urbaine
[Termes IGN] simulation spatiale
[Termes IGN] urbanisationRésumé : (Auteur) Numerous cities in developing regions worldwide are expanding at a tremendous rate. This requires adequate strategies to address the needs of these growing cities with diverse populations. Nonetheless, the development of urban policies is often hampered by the lack of reliable data or insight in the socio-spatial dynamics of this urban expansion. This paper therefore presents ASSURE, a spatially and temporally explicit model that can simulate urban growth and intra-urban social segregation, taking into account alternative policy strategies and expected social dynamics. The model has a flexible structure that allows incorporating specific city conditions that influence residential decision-making and adapting the simulation to the data available. This, in combination with the transparent model structure, makes ASSURE a potentially valuable decision support tool for urban planning. The potential is demonstrated with an example where the urban growth of and social segregation in Kampala (Uganda) is simulated based on (semi-)quantitative and qualitative data for ca. 800 households collected through interviews. The results of the simulations show that depending on the scenario, the spatial segregation and accessibility problems will evolve highly differently. Numéro de notice : A2016-756 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1177641 En ligne : http://dx.doi.org/10.1080/13658816.2016.1177641 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82421
in International journal of geographical information science IJGIS > vol 30 n° 11-12 (November - December 2016) . - pp 2377 - 2400[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2016061 RAB Revue Centre de documentation En réserve L003 Disponible Characterizing European urban settlements from population data : a cartographic approach / David Serano Giné in Cartography and Geographic Information Science, vol 43 n° 5 (November 2016)
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Titre : Characterizing European urban settlements from population data : a cartographic approach Type de document : Article/Communication Auteurs : David Serano Giné, Auteur ; A. Russo, Auteur Année de publication : 2016 Article en page(s) : pp 442 - 453 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] caractérisation
[Termes IGN] densité de population
[Termes IGN] données démographiques
[Termes IGN] données vectorielles
[Termes IGN] milieu urbain
[Termes IGN] Union Européenne
[Termes IGN] villeRésumé : (Auteur) The cartographic identification and characterization of urban settlements is problematic, particularly in varied areas or in large geographical extensions. This is due to the divergence between morphological area structures and data attribution, which is generally available at the level of administrative units. Most existing experiences focus on small regions or use indirect data, from which only indirect information can be derived. This paper proposes an identification of urban settlements in the European Union space, which combines urban population and shape through geographic information system (GIS) techniques. For that purpose, 1 km2 cells with associated population data are used. A procedure is developed establishing three different types of urban settlements, according to population and population density values: high-density urban clusters, small and medium-sized towns, and very small towns. A validation of this procedure is performed using direct survey from local experts in 10 selected study areas. The final results show that 78,307 urban settlements can be identified: 88.17% of them are classified as “very small towns,” 10.75% as “small and medium-sized towns,” and 1.08% as high-density urban clusters. This exercise generates new information for the European Union and surrounding countries, and yields the basis for further research. All GIS operations are performed using vector layers, which is not usual in large-area regional studies. Numéro de notice : A2016-694 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1076737 En ligne : https://doi.org/10.1080/15230406.2015.1076737 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82032
in Cartography and Geographic Information Science > vol 43 n° 5 (November 2016) . - pp 442 - 453[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2016051 RAB Revue Centre de documentation En réserve L003 Disponible Crowdsourcing functions of the living city from Twitter and Foursquare data / Xiaolu Zhou in Cartography and Geographic Information Science, vol 43 n° 5 (November 2016)
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Titre : Crowdsourcing functions of the living city from Twitter and Foursquare data Type de document : Article/Communication Auteurs : Xiaolu Zhou, Auteur ; Liang Zhang, Auteur Année de publication : 2016 Article en page(s) : pp 393 - 404 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] Boston (Massachusetts)
[Termes IGN] Chicago (Illinois)
[Termes IGN] dimension temporelle
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] données localisées des bénévoles
[Termes IGN] géobalise
[Termes IGN] planification urbaine
[Termes IGN] réseau social
[Termes IGN] système d'information géographique
[Termes IGN] villeRésumé : (Auteur) Urban functions are closely related to people’s spatiotemporal activity patterns, transportation needs, and a city’s business distribution and development trends. Studies investigating urban functions have used different data sources, such as remotely sensed imageries, observation, photography, and cognitive maps. However, these data sources usually suffer from low spatial, temporal, and thematic resolution. This article attempts to investigate human activities to understand urban functions through crowdsourcing social media data. In this study, we mined Twitter and Foursquare data to extract and analyze six types of human activities. The spatiotemporal analysis revealed hotspots for different activity intensities at different temporal resolution. We also applied the classified model in a real-time system to extract information of various urban functions. This study demonstrates the significance and usefulness of social sensing in analyzing urban functions. By combining different platforms of social media data and analyzing people’s geo-tagged city experience, this article contributes to leverage voluntary local knowledge to better depict human dynamics, discover spatiotemporal city characteristics, and convey information about cities. Numéro de notice : A2016-690 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article DOI : 10.1080/15230406.2015.1128852 En ligne : https://doi.org/10.1080/15230406.2015.1128852 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82018
in Cartography and Geographic Information Science > vol 43 n° 5 (November 2016) . - pp 393 - 404[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2016051 RAB Revue Centre de documentation En réserve L003 Disponible Fourier-based multi-scale representation and progressive transmission of cartographic curves on the internet / Pengcheng Liu in Cartography and Geographic Information Science, vol 43 n° 5 (November 2016)
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Titre : Fourier-based multi-scale representation and progressive transmission of cartographic curves on the internet Type de document : Article/Communication Auteurs : Pengcheng Liu, Auteur ; Xingong Li, Auteur ; Weibo Liu, Auteur ; Tinghua Ai, Auteur Année de publication : 2016 Article en page(s) : pp 454 - 468 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte topographique
[Termes IGN] contour
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] géomatique web
[Termes IGN] ligne (géométrie)
[Termes IGN] représentation multiple
[Termes IGN] série de Fourier
[Termes IGN] transmission de données
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Automatic generation of multi-scale representations from the same spatial data source has been the research focus in map generalization for a long time. Based on the Fourier technique, this paper proposes a continuous, multi-scale representation model for progressive transformation of cartographic curves on the Internet. In our method, all the curves, whether closed or open, are depicted as periodical functions which are further expressed as Fourier series. The convergence degrees of the Fourier series are explored for different kinds of curves, and truncating frequencies are derived based on the similarity between the original and reconstructed curves. Using information theory and the Radical Law in cartography, the relationship between map scales and Fourier frequencies is established. Based on the proposed multi-scale model, we also introduce the principles and implementation of a progressive transmission method. Our method is evaluated using the contours from a topographic map. The results show that our model is a valid approach to multi-scale representation of cartographic curves. Numéro de notice : A2016-695 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1088799 En ligne : https://doi.org/10.1080/15230406.2015.1088799 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82034
in Cartography and Geographic Information Science > vol 43 n° 5 (November 2016) . - pp 454 - 468[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2016051 RAB Revue Centre de documentation En réserve L003 Disponible How many samples are needed? An investigation of binary logistic regression for selective omission in a road network / Qi Zhou in Cartography and Geographic Information Science, vol 43 n° 5 (November 2016)
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Titre : How many samples are needed? An investigation of binary logistic regression for selective omission in a road network Type de document : Article/Communication Auteurs : Qi Zhou, Auteur ; Zhilin Li, Auteur Année de publication : 2016 Article en page(s) : pp 405 - 416 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] apprentissage dirigé
[Termes IGN] échantillonnage
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] régression logistique
[Termes IGN] réseau routier
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Selective omission in a road network (or road selection) means to retain more important roads, and it is a necessary operator to transform a road network at a large scale to that at a smaller scale. This study discusses the use of the supervised learning approach to road selection, and investigates how many samples are needed for a good performance of road selection. More precisely, the binary logistic regression is employed and three road network data with different sizes and different target scales are involved for testing. The different percentages and numbers of strokes are randomly chosen for training a logistic regression model, which is further applied into the untrained strokes for validation. The performances of using the different sample sizes are mainly evaluated by an error rate estimate. Significance tests are also employed to investigate whether the use of different sample sizes shows statistically significant differences. The experimental results show that in most cases, the error rate estimate is around 0.1–0.2; more importantly, only a small number (e.g., 50–100) of training samples is needed, which indicates the usability of binary logistic regression for road selection. Numéro de notice : A2016-691 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1104265 En ligne : https://doi.org/10.1080/15230406.2015.1104265 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82019
in Cartography and Geographic Information Science > vol 43 n° 5 (November 2016) . - pp 405 - 416[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2016051 RAB Revue Centre de documentation En réserve L003 Disponible Precision GNSS for everyone: Precise positioning using raw GPS measurements from android smartphones / Simon Banville in GPS world, Vol 27 n° 11 (November 2016)
PermalinkSinoGrids: a practice for open urban data in China / Xinyue Ye in Cartography and Geographic Information Science, vol 43 n° 5 (November 2016)
PermalinkSmart thinking for smart cities / John Stokoe in GEO: Geoconnexion international, vol 15 n° 10 (November - December 2016)
PermalinkTravel time estimation at intersections based on low-frequency spatial-temporal GPS trajectory big data / Luliang Tang in Cartography and Geographic Information Science, vol 43 n° 5 (November 2016)
Permalink3D geovisualization & stylization to manage comprehensive and participative local urban plans / Mickaël Brasebin in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol IV-2 W1 (October 2016)
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PermalinkAn advanced GNSS code multipath detection and estimation algorithm / Negin Sokhandan in GPS solutions, vol 20 n° 4 (October 2016)
PermalinkAutomatic registration of MLS point clouds and SfM meshes of urban area / Reiji Yoshimura in Geo-spatial Information Science, vol 19 n° 3 (October 2016)
PermalinkPermalinkInterurban visibility diagnosis from point clouds / Oscar Iglesias in European journal of remote sensing, vol 49 n° 1 (2016)
PermalinkKnowledge transfer for large-scale urban growth modeling based on formal concept analysis / Jinyao Lin in Transactions in GIS, vol 20 n° 5 (October 2016)
PermalinkThe need to integrate BIM and geoinformation / Sisi Zlatanova in GIM international, vol 30 n° 10 (October 2016)
PermalinkUrban soundscape maps modelled with geo-referenced data / Catherine Lavandier in Noise mapping, vol 3 n° 1 (October 2016)
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PermalinkA vision for smart cities / Ruedi Wagner in GEO: Geoconnexion international, vol 15 n° 9 (October 2016)
PermalinkActivity patterns, socioeconomic status and urban spatial structure: what can social media data tell us? / Qunying Huang in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)
PermalinkPermalinkPermalinkFinding spatial outliers in collective mobility patterns coupled with social ties / Monica Wachowicz in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)
Permalinkvol 30 n° 9-10 - September - October 2016 - Human dynamics in the mobile and big data era (Bulletin de International journal of geographical information science IJGIS) / Shih-Lung Shaw
PermalinkMeasures of transport mode segmentation of trajectories / Adrain C. Prelipcean in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)
PermalinkQualité de la donnée : objectif permanent, contexte évoluant / Mathieu Le Moal in Géomatique expert, n° 112 (septembre - octobre 2016)
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