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Spatial visualization of quantitative landscape changes in an industrial region between 1827 and 1883. Case study Katowice, southern Poland / Paweł Cybulski in Journal of maps, vol 16 n° 1 ([02/01/2020])  

Public [article]  inJournal of maps > vol 16 n° 1 [02/01/2020] . - pp 77 - 85 Titre : Spatial visualization of quantitative landscape changes in an industrial region between 1827 and 1883. Case study Katowice, southern Poland Type de document : Article/Communication Auteurs : Paweł Cybulski, Auteur ; Lukasz Wielebski, Auteur ; Beata Medyńska-Gulij, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 77 - 85 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] 1:100.000 [Termes IGN] analyse spatio-temporelle [Termes IGN] carte thématique [Termes IGN] dégradation de l'environnement [Termes IGN] détection de changement [Termes IGN] dix-neuvième siècle [Termes IGN] géoréférencement [Termes IGN] paysage industriel [Termes IGN] Pologne [Termes IGN] prospection minérale [Termes IGN] système d'information géographique [Termes IGN] visualisation cartographique Résumé : (auteur) The aim of the study is to present landscape changes in the nineteenth century in the central part of the Upper Silesian Industrial District, which is the municipality of Katowice (southern Poland). The comparison of changes, particularly components of the geographical environment, is based on two time periods – the year 1827 and 1883. Nineteenth-century maps were georeferenced, digitized and a series of thematic spatial visualizations presenting quantitative changes were generated by means of the Geographic Information System (GIS). The scale of the visualization created is 1:100,000 and the area is 16,400 ha. The spatial visualization of quantitative landscape change shows the development of the anthropogenic pressure in the form of settlement areas, raw materials extraction places, roads, and the decrease of natural environments, such as forests, rivers, and water bodies. These changes were caused mainly by the exploration of underground deposits and the rapidly growing population of Upper Silesia. Numéro de notice : A2020-643 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/17445647.2020.1746416 Date de publication en ligne : 04/04/2020 En ligne : https://doi.org/10.1080/17445647.2020.1746416 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96069 [article]

Interactive display of surnames distributions in historic and contemporary Great Britain / Justin Van Dijk in Journal of maps, vol 16 n° 1 ([02/01/2020])  

Public [article]  inJournal of maps > vol 16 n° 1 [02/01/2020] . - pp 68 - 76 Titre : Interactive display of surnames distributions in historic and contemporary Great Britain Type de document : Article/Communication Auteurs : Justin Van Dijk, Auteur ; Paul A. Longley, Auteur Année de publication : 2020 Article en page(s) : pp 68 - 76 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] anthroponymie [Termes IGN] base de données historiques [Termes IGN] base de données spatiotemporelles [Termes IGN] carte interactive [Termes IGN] données démographiques [Termes IGN] estimation par noyau [Termes IGN] géovisualisation [Termes IGN] Grande-Bretagne [Termes IGN] onomastique [Termes IGN] PostgreSQL Résumé : (auteur) We introduce a method to calculate and store approximately 1.2 million surname distributions calculated for surnames found in Great Britain for six years of historic population data and 20 years of contemporary population registers compiled from various consumer sources. We subsequently show how this database can be incorporated into an interactive web-environment specifically designed for the public dissemination of detailed surname statistics. Additionally, we argue that the database can be used in the quantitative analysis of surnames in Great Britain and potentially offer valuable insights into processes of contagious and hierarchical diffusion of populations as well as the regional distinctiveness of demographic change and stasis. Numéro de notice : A2020-644 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/17445647.2020.1746418 Date de publication en ligne : 04/04/2020 En ligne : https://doi.org/10.1080/17445647.2020.1746418 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96070 [article]

Spatio-temporal mobility and Twitter: 3D visualisation of mobility flows / Joaquín Osorio Arjona in Journal of maps, vol 16 n° 1 ([02/01/2020])  

Public [article]  inJournal of maps > vol 16 n° 1 [02/01/2020] . - pp 153 - 160 Titre : Spatio-temporal mobility and Twitter: 3D visualisation of mobility flows Type de document : Article/Communication Auteurs : Joaquín Osorio Arjona, Auteur ; Juan Carlos García Palomares, Auteur Année de publication : 2020 Article en page(s) : pp 153 - 160 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatio-temporelle [Termes IGN] base de données localisées [Termes IGN] données localisées des bénévoles [Termes IGN] espace-temps [Termes IGN] interface de programmation [Termes IGN] Madrid (Espagne) [Termes IGN] migration pendulaire [Termes IGN] mobilité urbaine [Termes IGN] réseau social [Termes IGN] système d'information géographique [Termes IGN] Time-geography [Termes IGN] Twitter [Termes IGN] visualisation 3D [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Recent progress in computation and the spatio-temporal richness of data obtained from new sources have invigorated Time Geography. It is now possible to visualise and represent movements of people in a dual spatial–temporal dimension. In this work, we use geo-located data from the social media platform Twitter to show the value of new data sources for Time Geography. The methodology consists of visualising space–time paths in 2D and 3D in four study zones, with different land-use profiles, based on tweets compiled over the course of two years. The results provide a view of behaviours occurring in the areas of study throughout the day, with complementary data to show the population's main activity at different times. Numéro de notice : A2020-645 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/17445647.2020.1778549 Date de publication en ligne : 18/06/2020 En ligne : https://doi.org/10.1080/17445647.2020.1778549 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96071 [article]