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Fine-scale dasymetric population mapping with mobile phone and building use data based on grid Voronoi method / Zhenzhong Peng in ISPRS International journal of geo-information, vol 9 n° 6 (June 2020)
Titre : Fine-scale dasymetric population mapping with mobile phone and building use data based on grid Voronoi method Type de document : Article/Communication Auteurs : Zhenzhong Peng, Auteur ; Ru Wang, Auteur ; Lingbo Liu, Auteur ; Hao Wu, Auteur Année de publication : 2020 Article en page(s) : 16 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes descripteurs IGN] bati
[Termes descripteurs IGN] densité de population
[Termes descripteurs IGN] diagramme de Voronoï
[Termes descripteurs IGN] distribution spatiale
[Termes descripteurs IGN] données démographiques
[Termes descripteurs IGN] espace urbain
[Termes descripteurs IGN] modèle de régression
[Termes descripteurs IGN] modèle dynamique
[Termes descripteurs IGN] petite échelle
[Termes descripteurs IGN] régression géographiquement pondérée
[Termes descripteurs IGN] téléphone intelligentRésumé : (auteur) Fine-scale population mapping is of great significance for capturing the spatial and temporal distribution of the urban population. Compared with traditional census data, population data obtained from mobile phone data has high availability and high real-time performance. However, the spatial distribution of base stations is uneven, and the service boundaries remain uncertain, which brings significant challenges to the accuracy of dasymetric population mapping. This paper proposes a Grid Voronoi method to provide reliable spatial boundaries for base stations and to build a subsequent regression based on mobile phone and building use data. The results show that the Grid Voronoi method gives high fitness in building use regression, and further comparison between the traditional ordinary least squares (OLS) regression model and geographically weighted regression (GWR) model indicates that the building use data can well reflect the heterogeneity of urban geographic space. This method provides a relatively convenient and reliable idea for capturing high-precision population distribution, based on mobile phone and building use data. Numéro de notice : A2020-315 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9060344 date de publication en ligne : 26/05/2020 En ligne : https://doi.org/10.3390/ijgi9060344 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95170
in ISPRS International journal of geo-information > vol 9 n° 6 (June 2020) . - 16 p.[article]
Titre : A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data Type de document : Article/Communication Auteurs : Sheng Hu, Auteur ; Zhanjun He, Auteur ; Liang Wu, Auteur ; et al., Auteur Année de publication : 2020 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes descripteurs IGN] analyse de groupement
[Termes descripteurs IGN] données massives
[Termes descripteurs IGN] espace urbain
[Termes descripteurs IGN] extraction de données
[Termes descripteurs IGN] gestion urbaine
[Termes descripteurs IGN] image à haute résolution
[Termes descripteurs IGN] point d'intérêt
[Termes descripteurs IGN] regroupement de données
[Termes descripteurs IGN] télédétection spatiale
[Termes descripteurs IGN] traitement du langage naturel
[Termes descripteurs IGN] Wuhan (Chine)
[Termes descripteurs IGN] zone urbaineRésumé : (auteur) Many studies are in an effort to explore urban spatial structure, and urban functional regions have become the subject of increasing attention among planners, engineers and public officials. Attempts have been made to identify urban functional regions using high spatial resolution (HSR) remote sensing images and extensive geo-data. However, the research scale and throughput have also been limited by the accessibility of HSR remote sensing data. Recently, big geo-data are becoming increasingly popular for urban studies since research is still accessible and objective with regard to the use of these data. This study aims to build a novel framework to provide an alternative solution for sensing urban spatial structure and discovering urban functional regions based on emerging geo-data – points of interest (POIs) data and an embedding learning method in the natural language processing (NLP) field. We started by constructing the intraurban functional corpus using a center-context pairs-based approach. A word embeddings representation model for training that corpus was used to extract multiprototype vectors in the second step, and the last step aggregated the functional parcels based on an introduced spatial clustering method, hierarchical density-based spatial clustering of applications with noise (HDBSCAN). The clustering results suggested that our proposed framework used in this study is capable of discovering the utilization of urban space with a reasonable level of accuracy. The limitation and potential improvement of the proposed framework are also discussed. Numéro de notice : A2020-191 Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.compenvurbsys.2019.101442 date de publication en ligne : 15/11/2019 En ligne : https://doi.org/10.1016/j.compenvurbsys.2019.101442 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94853
in Computers, Environment and Urban Systems > vol 80 (March 2020)[article]
Titre : Cartographic delimitation of the city centre using mental sketches Type de document : Article/Communication Auteurs : Kamil Nieścioruk, Auteur Année de publication : 2019 Article en page(s) : pp 355 - 367 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes descripteurs IGN] carte cognitive
[Termes descripteurs IGN] centre-ville
[Termes descripteurs IGN] espace urbain
[Termes descripteurs IGN] lecture de carte
[Termes descripteurs IGN] Pologne
[Termes descripteurs IGN] représentation mentale
[Termes descripteurs IGN] représentation mentale spatiale
[Termes descripteurs IGN] système d'information géographiqueRésumé : (Auteur) The paper deals with the problem of the city centre delimitation. The direct, survey research of almost one hundred respondents has been conducted. The test groups were teenagers, students of two Lublin schools. The research method was a freehand, basic mental sketch map, giving surveyed people a freedom of both content and form of a sketch. The mental (or cognitive) mapping is a well-established approach in the fields of psychology, geography, social science, planning and more with a wide scope of topics being tested with this methodology. The gathered data were processed in the GIS software using vectorization of the centre extents and map algebra approach. The results are presented in a form of data-aggregating maps for a whole group of students as well as for subgroups (different schools, different place of residence). Numéro de notice : A2019-583 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00087041.2018.1547472 date de publication en ligne : 19/06/2019 En ligne : https://doi.org/10.1080/00087041.2018.1547472 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94498
in Cartographic journal (the) > Vol 56 n° 4 (November 2019) . - pp 355 - 367[article]Réservation
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Titre : A graph-based approach for the structural analysis of road and building layouts Type de document : Article/Communication Auteurs : Mathieu Domingo, Auteur ; Rémy Thibaud, Auteur ; Christophe Claramunt, Auteur Année de publication : 2019 Article en page(s) : pp 59 - 72 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes descripteurs IGN] bati
[Termes descripteurs IGN] distance
[Termes descripteurs IGN] espace urbain
[Termes descripteurs IGN] graphe
[Termes descripteurs IGN] réseau routierRésumé : (Auteur) A better understanding of the relationship between the structure and functions of urban and suburban spaces is one of the avenues of research still open for geographical information science. The research presented in this paper develops several graph-based metrics whose objective is to characterize some local and global structural properties that reflect the way the overall building layout can be cross-related to the one of the road layout. Such structural properties are modeled as an aggregation of parcels, buildings, and road networks. We introduce several computational measures (Ratio Minimum Distance, Minimum Ratio Minimum Distance, and Metric Compactness) that respectively evaluate the capability for a given road to be connected with the whole road network. These measures reveal emerging sub-network structures and point out differences between less-connective and more-connective parts of the network. Based on these local and global properties derived from the topological and graph-based representation, and on building density metrics, this paper proposes an analysis of road and building layouts at different levels of granularity. The metrics developed are applied to a case study in which the derived properties reveal coherent as well as incoherent neighborhoods that illustrate the potential of the approach and the way buildings and roads can be relatively connected in a given urban environment. Overall, and by integrating the parcels and buildings layouts, this approach complements other previous and related works that mainly retain the configurational structure of the urban network as well as morphological studies whose focus is generally limited to the analysis of the building layout. Numéro de notice : A2019-242 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2019.1568736 date de publication en ligne : 15/02/2019 En ligne : https://doi.org/10.1080/10095020.2019.1568736 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92936
in Geo-spatial Information Science > vol 22 n° 1 (March 2019) . - pp 59 - 72[article]
Titre : Spatialities, social Media and sentiment analysis: Exploring the potential of the detection tool SentiStrength Type de document : Article/Communication Auteurs : Christina Reithmeier, Auteur ; Karoline Buschbaum, Auteur ; Detlef Kanwischer, Auteur Année de publication : 2018 Article en page(s) : pp 85 - 96 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Linguistique
[Termes descripteurs IGN] données issues des réseaux sociaux
[Termes descripteurs IGN] espace urbain
[Termes descripteurs IGN] sentiment
[Termes descripteurs IGN] TwitterRésumé : (auteur) Social media such as Twitter or Facebook not only create new spaces of interaction and communication, they also influence the way we perceive things and lead to changes in our self-perception and our own worldview. Online data occur in various forms and can contain opinions or expressions of feeling. In this article, we explore the potential of SentiStrength, a tool for sentiment analysis in geographic research. We analyse posts on Twitter containing hashtags for possible constructions of spaces in Ostend, a neighbourhood in Frankfurt, Germany. We collected tweets via the Twitter API and used the SentiStrength online application to conduct our sentiment analysis. In order to evaluate the results, we also classified our data manually for comparison. Through its lexicon-based classification, the tool was able to identify positive and negative associations of Ostend. However, we were also able to demonstrate the limitations of the tool compared to manual analysis. Although it provides a quick and comprehensive overview of sentiments, SentiStrength reaches its limits when other media such as images are involved. Overall, the tool offers a good low-threshold approach for scientists to work with digital data. Numéro de notice : A2018-608 Thématique : GEOMATIQUE Nature : Article DOI : 10.1553/giscience2018_02_s85 En ligne : http://dx.doi.org/10.1553/giscience2018_02_s85 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92834
in GI Forum > vol 2018 n° 2 [01/09/2018] . - pp 85 - 96[article]Permalink
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