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A constraint-based approach for identifying the urban–rural fringe of polycentric cities using multi-sourced data / Jing Yang in International journal of geographical information science IJGIS, vol 36 n° 1 (January 2022)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 36 n° 1 (January 2022) . - pp 114 - 136 Titre : A constraint-based approach for identifying the urban–rural fringe of polycentric cities using multi-sourced data Type de document : Article/Communication Auteurs : Jing Yang, Auteur ; Jingwen Dong, Auteur ; Yizhong Sun, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 114 - 136 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] délimitation de frontière [Termes IGN] données multisources [Termes IGN] entropie de Shannon [Termes IGN] espace rural [Termes IGN] estimation par noyau [Termes IGN] Kiangsou (Chine) [Termes IGN] programmation par contraintes [Termes IGN] transformation en ondelettes [Termes IGN] urbanisation [Termes IGN] zonage (urbanisme) [Termes IGN] zone rurale [Termes IGN] zone urbaine Résumé : (auteur) Studies on urban–rural fringes, which represent regions facing various urbanization problems caused by rapid expansion, have steadily increased in recent years. However, problems persist in the quantitative delimitation of such regions. Based on the characteristics of abrupt urbanization-level changes in urban–rural fringe areas, we propose a constraint-based method in this study to detect the urban–rural fringes of cities with a spatial polycentric structure of ‘Main center–Subcenter’ based on data from multiple sources. We used the proposed approach to delimitate the fringe areas of Jiangyin and Zhangjiagang and identify their urban main center and subcenter pre-defined by their city master plans, towns, and rural hinterlands. Comparison of the identified results of different single urbanization indices, a single detection center, kernel density estimation, and a single constraint revealed that the patch density and Shannon’s diversity index of the proposed method were higher in urban–rural fringes and smaller in city centers and rural hinterlands. This suggests that the landscape of urban–rural fringes delimitated by the proposed method is more fragmented, diverse, and complicated, thereby performing better. This study is significant for future urban spatial analysis, planning, and management. Numéro de notice : A2022-045 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article DOI : 10.1080/13658816.2021.1876236 Date de publication en ligne : 05/02/2021 En ligne : https://doi.org/10.1080/13658816.2021.1876236 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99404 [article]

Urban geospatial information acquisition mobile mapping system based on close-range photogrammetry and IGS site calibration / Ming Guo in Geo-spatial Information Science, vol 24 n° 4 (December 2021)  

Public [article]  inGeo-spatial Information Science > vol 24 n° 4 (December 2021) . - pp 558 - 579 Titre : Urban geospatial information acquisition mobile mapping system based on close-range photogrammetry and IGS site calibration Type de document : Article/Communication Auteurs : Ming Guo, Auteur ; Yuquan Zhou, Auteur ; Jianghong Zhao, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 558 - 579 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre [Termes IGN] coordonnées GNSS [Termes IGN] couplage GNSS-INS [Termes IGN] données lidar [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] orientation du capteur [Termes IGN] précision des mesures [Termes IGN] Ransac (algorithme) [Termes IGN] semis de points [Termes IGN] station GNSS [Termes IGN] système de numérisation mobile [Termes IGN] zone urbaine Résumé : (auteur) The measurement accuracy of the Mobile Mapping System (MMS) is the main problem, which restricts its development and application, so how to calibrate the MMS to improve its measurement accuracy has always been a research hotspot in the industry. This paper proposes a position and attitude calibration method with error correction based on the combination of the feature point and feature surface. First, the initial value of the spatial position relationship between each sensor of MMS is obtained by close-range photogrammetry. Second, the optimal solution for error correction is calculated by feature points in global coordinates jointly measured with International GNSS Service (IGS) stations. Then, the final transformation parameters are solved by combining the initial values obtained originally, thereby realizing the rapid calibration of the MMS. Finally, it analyzed the RMSE of MMS point cloud after calibration, and the results demonstrate the feasibility of the calibration approach proposed by this method. Under the condition of a single measurement sensor accuracy is low, the plane and elevation absolute accuracy of the point cloud after calibration can reach 0.043 m and 0.072 m, respectively, and the relative accuracy is smaller than 0.02 m. It meets the precision requirements of data acquisition for MMS. It is of great significance for promoting the development of MMS technology and the application of some novel techniques in the future, such as autonomous driving, digital twin city, urban brain et al. Numéro de notice : A2021-128 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/10095020.2021.1924084 Date de publication en ligne : 20/08/2021 En ligne : https://doi.org/10.1080/10095020.2021.1924084 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99354 [article]

An approach for multi-scale urban building data integration and enrichment through geometric matching and semantic web / Abdulkadir Memduhoglu in Cartography and Geographic Information Science, vol 49 n° 1 (January 2022)  

Public [article]  inCartography and Geographic Information Science > vol 49 n° 1 (January 2022) . - pp 1 - 17 Titre : An approach for multi-scale urban building data integration and enrichment through geometric matching and semantic web Type de document : Article/Communication Auteurs : Abdulkadir Memduhoglu, Auteur ; Melih Basaraner, Auteur Année de publication : 2022 Article en page(s) : pp 1 - 17 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] appariement géométrique [Termes IGN] approche participative [Termes IGN] bâtiment [Termes IGN] données localisées des bénévoles [Termes IGN] données multiéchelles [Termes IGN] Istanbul (Turquie) [Termes IGN] ontologie [Termes IGN] OpenStreetMap [Termes IGN] SWRL [Termes IGN] Web des données [Termes IGN] web sémantique [Termes IGN] zone urbaine Résumé : (auteur) The advent of Web 2.0 has emerged abundant but often unstructured user-generated georeferenced data, such as those from Volunteered Geographic Information (VGI) initiatives. In many cases, these data can be considered as complementary to the authoritative geospatial data. With the increasing availability of multi-source geospatial data, the efforts for geospatial data integration have gained momentum, aiming at gathering maximum information to answer sophisticated questions that cannot be answered using a single data source. Although there are various approaches employed for this purpose with different degrees of success, semantic web methods and tools have not been tested sufficiently in this scope, particularly for multi-scale urban building data integration and enrichment. Attempting to fill this gap, in this study, multi-source and multi-scale urban building data were integrated with a geometric matching method based on the overlapping area, then a geospatial ontology was developed to define multi-scale representations and detailed cardinality relations of the building features. Finally, some features from the geospatial ontology were then linked to popular knowledge bases such as DBpedia and YAGO. For the exploitation on the web, query and visualization processes were demonstrated using sample questions. The semantic web enabled to model complex cardinality of relations between the features from three different building data sets using inferencing and Semantic Web Rule Language (SWRL). The study showed that integrating different geospatial data sets as a knowledge base can facilitate answering sophisticated questions from different users. Numéro de notice : A2022-016 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2021.1952108 Date de publication en ligne : 24/08/2021 En ligne : https://doi.org/10.1080/15230406.2021.1952108 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99147 [article]

Digitizing and visualizing sketch map data: A semi-structured approach to qualitative GIS / Christopher Prener in Cartographica, vol 56 n° 4 (winter 2021)  

Public [article]  inCartographica > vol 56 n° 4 (winter 2021) . - pp 267 - 283 Titre : Digitizing and visualizing sketch map data: A semi-structured approach to qualitative GIS Type de document : Article/Communication Auteurs : Christopher Prener, Auteur Année de publication : 2021 Article en page(s) : pp 267 - 283 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie [Termes IGN] collecte de données [Termes IGN] croquis topographique [Termes IGN] numérisation [Termes IGN] perception [Termes IGN] R (langage) [Termes IGN] SIG qualitatif [Termes IGN] visualisation [Termes IGN] zone urbaine Résumé : (auteur) Sketch mapping provides an intuitive means for collecting respondents’ impressions about space and place alongside qualitative data collection approaches. However, the data collected are often challenging to work with, particularly by digitization and visualization. After reviewing these challenges, this article introduces a “semi-structured” approach to sketch map data collection, digitization, and analysis and an open-source software package, “qualmap,” that implements tools for digitizing these data in the programming language R. This approach retains the cartographically accurate base maps used in other sketch map research. However, it superimposes an areal unit of the researchers’ choice to aid in digitization and analysis. The use of a standard areal unit creates additional cartographic and analytic possibilities. The applicability of this approach is illustrated with a sample project that analyzes perceptions of space collected from a convenience sample of college students. The resulting maps’ clustering identifies a “bubble” around their campus that captures much of the travel activity students engage in every week. These data are paired with crime data, which illustrates possible mixed methods extensions of this “semi-structured” approach to sketch mapping. Numéro de notice : A2021-682 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart-2020-0030 Date de publication en ligne : 02/12/2021 En ligne : https://doi.org/10.3138/cart-2020-0030 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99225 [article]

The geography of social media data in urban areas: Representativeness and complementarity / Alvaro Bernabeu-Bautista in ISPRS International journal of geo-information, vol 10 n° 11 (November 2021)  

Public [article]  inISPRS International journal of geo-information > vol 10 n° 11 (November 2021) . - n° 747 Titre : The geography of social media data in urban areas: Representativeness and complementarity Type de document : Article/Communication Auteurs : Alvaro Bernabeu-Bautista, Auteur ; Leticia Serrano-Estrada, Auteur ; V. Raul Perez-Sanchez, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 747 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] analyse socio-économique [Termes IGN] analyse spatiale [Termes IGN] données démographiques [Termes IGN] données issues des réseaux sociaux [Termes IGN] données massives [Termes IGN] données socio-économiques [Termes IGN] géolocalisation [Termes IGN] réseau social géodépendant [Termes IGN] Valence (Espagne) [Termes IGN] zone urbaine Résumé : (auteur) This research sheds light on the relationship between the presence of location-based social network (LBSN) data and other economic and demographic variables in the city of Valencia (Spain). For that purpose, a comparison is made between location patterns of geolocated data from various social networks (i.e., Google Places, Foursquare, Twitter, Airbnb and Idealista) and statistical information such as land value, average gross income, and population distribution by age range. The main findings show that there is no direct relationship between land value or age of registered population and the amount of social network data generated in a given area. However, a noteworthy coincidence was observed between Google Places data-clustering patterns, which represent the offer of economic activities, and the spatial concentration of the other LBSNs analyzed, suggesting that data from these sources are mostly generated in areas with a high density of economic activities. Numéro de notice : A2021-828 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi10110747 Date de publication en ligne : 03/11/2021 En ligne : https://doi.org/10.3390/ijgi10110747 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98965 [article]

Identifying surface urban heat island drivers and their spatial heterogeneity in China’s 281 cities: An empirical study based on multiscale geographically weighted regression / Lu Niu in Remote sensing, vol 13 n° 21 (November-1 2021)  

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Simulation of dispersion effects by considering interactions of pedestrians and bicyclists using an agent space model / Mingwei Liu in Computers, Environment and Urban Systems, vol 91 (January 2022)  

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Spatial structure system of land use along urban rail transit based on GIS spatial clustering / Yu Gao in European journal of remote sensing, vol 54 sup 2 (2021)  

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A comparison of a gradient boosting decision tree, random forests, and artificial neural networks to model urban land use changes: the case of the Seoul metropolitan area / Myung-Jin Jun in International journal of geographical information science IJGIS, vol 35 n° 11 (November 2021)  

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Urban land-use analysis using proximate sensing imagery: a survey / Zhinan Qiao in International journal of geographical information science IJGIS, vol 35 n° 11 (November 2021)  

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Spatio-temporal-spectral observation model for urban remote sensing / Zhenfeng Shao in Geo-spatial Information Science, vol 24 n° 3 (October 2021)  

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GIS-based logic scoring of preference method for urban densification suitability analysis / Shuoge Shen in Computers, Environment and Urban Systems, vol 89 (September 2021)  

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Improving urban land cover classification with combined use of Sentinel-2 and Sentinel-1 imagery / Bin Hu in ISPRS International journal of geo-information, vol 10 n° 8 (August 2021)  

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Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America / Bin Chen in ISPRS Journal of photogrammetry and remote sensing, vol 178 (August 2021)  

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Flood depth mapping in street photos with image processing and deep neural networks / Bahareh Alizadeh Kharazi in Computers, Environment and Urban Systems, vol 88 (July 2021)  

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