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Using machine learning to map Western Australian landscapes for mineral exploration / Thomas Albrecht in ISPRS International journal of geo-information, vol 10 n° 7 (July 2021)  

Public [article]  inISPRS International journal of geo-information > vol 10 n° 7 (July 2021) . - n° 459 Titre : Using machine learning to map Western Australian landscapes for mineral exploration Type de document : Article/Communication Auteurs : Thomas Albrecht, Auteur ; Ignacio Gonzalez-Alvarez, Auteur ; Jens Klump, Auteur Année de publication : 2021 Article en page(s) : n° 459 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] apprentissage automatique [Termes IGN] Australie occidentale (Australie) [Termes IGN] cartographie automatique [Termes IGN] classification dirigée [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] géomorphologie [Termes IGN] modèle numérique de surface [Termes IGN] prospection minérale [Termes IGN] Python (langage de programmation) Résumé : (auteur) Landscapes evolve due to climatic conditions, tectonic activity, geological features, biological activity, and sedimentary dynamics. Geological processes at depth ultimately control and are linked to the resulting surface features. Large regions in Australia, West Africa, India, and China are blanketed by cover (intensely weathered surface material and/or later sediment deposition, both up to hundreds of metres thick). Mineral exploration through cover poses a significant technological challenge worldwide. Classifying and understanding landscape types and their variability is of key importance for mineral exploration in covered regions. Landscape variability expresses how near-surface geochemistry is linked to underlying lithologies. Therefore, landscape variability mapping should inform surface geochemical sampling strategies for mineral exploration. Advances in satellite imaging and computing power have enabled the creation of large geospatial data sets, the sheer size of which necessitates automated processing. In this study, we describe a methodology to enable the automated mapping of landscape pattern domains using machine learning (ML) algorithms. From a freely available digital elevation model, derived data, and sample landclass boundaries provided by domain experts, our algorithm produces a dense map of the model region in Western Australia. Both random forest and support vector machine classification achieve approximately 98% classification accuracy with a reasonable runtime of 48 minutes on a single Intel® Core™ i7-8550U CPU core. We discuss computational resources and study the effect of grid resolution. Larger tiles result in a more contiguous map, whereas smaller tiles result in a more detailed and, at some point, noisy map. Diversity and distribution of landscapes mapped in this study support previous results. In addition, our results are consistent with the geological trends and main basement features in the region. Mapping landscape variability at a large scale can be used globally as a fundamental tool for guiding more efficient mineral exploration programs in regions under cover. Numéro de notice : A2021-546 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi10070459 Date de publication en ligne : 06/07/2021 En ligne : https://doi.org/10.3390/ijgi10070459 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98048 [article]

Eye tracking research in cartography: Looking into the future / Vassilios Krassanakis in ISPRS International journal of geo-information, vol 10 n° 6 (June 2021)  

Public [article]  inISPRS International journal of geo-information > vol 10 n° 6 (June 2021) . - n° 411 Titre : Eye tracking research in cartography: Looking into the future Type de document : Article/Communication Auteurs : Vassilios Krassanakis, Auteur ; Paweł Cybulski, Auteur Année de publication : 2021 Article en page(s) : n° 411 Langues : Anglais (eng) Descripteur : [Termes IGN] analyse visuelle [Termes IGN] interface graphique [Termes IGN] lecture de carte [Termes IGN] oculométrie [Termes IGN] visualisation cartographique [Vedettes matières IGN] Cartologie Numéro de notice : A2021-520 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi10060411 Date de publication en ligne : 14/06/2021 En ligne : https://doi.org/10.3390/ijgi10060411 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97947 [article]

Reconsidering movement and exposure: Towards a more dynamic health geography / Malcolm Campbell in Geography compass, vol 15 n° 6 (June 2021)  

Public [article]  inGeography compass > vol 15 n° 6 (June 2021) . - n° Titre : Reconsidering movement and exposure: Towards a more dynamic health geography Type de document : Article/Communication Auteurs : Malcolm Campbell, Auteur ; Lukas Marek, Auteur ; Matthew Hobbs, Auteur Année de publication : 2021 Article en page(s) : n° Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] carte statique [Termes IGN] cartographie dynamique [Termes IGN] données [Termes IGN] équipement sanitaire [Termes IGN] géographie sociale [Termes IGN] mobilité humaine [Termes IGN] protection de la vie privée [Termes IGN] Time-geography [Termes IGN] traitement de données Résumé : (auteur) Acknowledging a paucity of emerging research, and some variation by sub-field, the geographical measures of exposure used in health and medical geography have largely stagnated often focusing on residence-based (‘static’) conceptualisations to define an individuals mobility or exposure. Detailed spatiotemporal data, such as smartphone data, allow richer understandings of the influence of the environment, or more broadly of place, on individual health outcomes and behaviours. However, while researchers are increasingly aware of such ‘dynamic’ definitions of place these are seldom employed in empirical evidence. Moreover, there may be differences in mobility by population groups which has not to our knowledge been examined fully. The main aim of this article is to provide a critical review of progress in the conceptualisation of location in health-related geospatial research to understand the evolution of key concepts and to provoke the reader into considering the utility of a (more) dynamic health geography. We explore the origins of time geography, activity spaces, before moving to recent developments in the area of the exposome and the linked dynamic conceptualisations of exposure in health geography. To illuminate and operationalise findings from our review for readers, we provide a small case study to demonstrate how ‘static’ and ‘dynamic’ approaches differ. Moreover, we consider why understanding heterogeneity in mobility could be particularly salient in the field of health geography, and to the discipline of geography more broadly. To conclude, we help readers understand the practical considerations of data privacy, the process of data collection, data processing, and interpretation, and dissemination of findings to offer practical assistance for those who are grappling with ‘dynamic’ definitions of mobility and conceptualisations of exposure. Numéro de notice : A2021-725 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1111/gec3.12566 Date de publication en ligne : 07/05/2021 En ligne : https://doi.org/10.1111/gec3.12566 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98646 [article]

Emotional cartography as a window into children's well-being: Visualizing the felt geographies of place / Andrew Steger in Emotion, Space and Society, vol 39 (May 2021)  

Public [article]  inEmotion, Space and Society > vol 39 (May 2021) . - n° 100772 Titre : Emotional cartography as a window into children's well-being: Visualizing the felt geographies of place Type de document : Article/Communication Auteurs : Andrew Steger, Auteur ; Elly Evans, Auteur ; Bryan Wee, Auteur Année de publication : 2021 Article en page(s) : n° 100772 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] bien-être collectif [Termes IGN] cartographie sensible [Termes IGN] émotion [Termes IGN] enfant [Termes IGN] épidémie [Termes IGN] maladie virale [Termes IGN] sentiment [Termes IGN] système d'information géographique [Vedettes matières IGN] Géovisualisation Résumé : (auteur) More often than not, Geographic Information Systems (GIS) excludes emotion and qualitative analysis from studies of people-place relationships in favor of quantitative approaches. We employ emotional cartography as a form of qualitative GIS (qualGIS) to elevate emotions from the periphery to the center of dialogue about children's well-being. We highlight the ontological parallels between qualGIS, emotional cartography and children in society, and advance emotion maps as a way to visualize different spatial and emotional realities. In reflecting upon the felt geography of our own childhood places, we affirm the importance of children's emotional attachments to places as well as the centrality of ‘messy’ human experiences in GIS. To conclude, we discuss the implications of emotional cartography for researchers, planners and GIS, paying special attention to children's well-being amidst the current COVID-19 pandemic. In particular, this includes a call to ‘witness’ and to foster spatial empathy among those advocating for children. Numéro de notice : A2021-949 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.emospa.2021.100772 Date de publication en ligne : 08/02/2021 En ligne : https://doi.org/10.1016/j.emospa.2021.100772 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99769 [article]

Evaluating PPGIS usability in a multi-national field study combining qualitative surveys and eye-tracking / Mona Bartling in Cartographic journal (the), vol 58 n° 2 (May 2021)  

Public [article]  inCartographic journal (the) > vol 58 n° 2 (May 2021) . - pp 167 - 182 Titre : Evaluating PPGIS usability in a multi-national field study combining qualitative surveys and eye-tracking Type de document : Article/Communication Auteurs : Mona Bartling, Auteur ; Bernd Resch, Auteur ; Sandra Trösterer, Auteur ; Anton Eitzinger, Auteur Année de publication : 2021 Article en page(s) : pp 167 - 182 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] Autriche [Termes IGN] Colombie [Termes IGN] convivialité [Termes IGN] oculométrie [Termes IGN] Ouganda [Termes IGN] SIG participatif [Termes IGN] utilisateur Résumé : (auteur) For designing qualitative interfaces for Public Participatory Geographic Information Systems (PPGIS), the user and use case should be clearly defined. However, PPGIS users may differ significantly, e.g. regarding their cultural background, IT-literacy, or interests. Studies examining varying user types and their impact on PPGIS usability are, however, lacking. In this paper, we analyse the user spectrum through conducting a usability study with 73 participants located in Colombia, Uganda and Austria. We combined a qualitative survey (conducted in all three countries) with an eye-tracking based survey (conducted only in Austria). Most of the usability issues arose due to inexperience in using interactive maps or applications other than social media. Based on the findings, we explored which user context information had an impact on which usability problem. With this, we designed an adaptation gradient that can be used for future research on developing adaptive PPGIS interfaces. Numéro de notice : A2021-971 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/00087041.2020.1842143 Date de publication en ligne : 07/07/2021 En ligne : https://doi.org/10.1080/00087041.2020.1842143 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100376 [article]

Flood risk mapping using uncertainty propagation analysis on a peak discharge: case study of the Mille Iles River in Quebec / Jean-Marie Zokagoa in Natural Hazards, vol 107 n° 1 (May 2021)  

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Génération automatique de courbes de niveaux dans les zones de plateaux karstiques / Guillaume Touya in Cartes & Géomatique, n° 243-244 (mars - juin 2021)

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Learning from multimodal and multitemporal earth observation data for building damage mapping / Bruno Adriano in ISPRS Journal of photogrammetry and remote sensing, vol 175 (May 2021)  

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Mapping and quantification of the dwarf eelgrass Zostera noltii using a random forest algorithm on a SPOT 7 satellite image / Salma Benmokhtar in ISPRS International journal of geo-information, vol 10 n° 5 (May 2021)  

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What is the difference between augmented reality and 2D navigation electronic maps in pedestrian wayfinding? / Weihua Dong in Cartography and Geographic Information Science, vol 48 n° 3 (May 2021)  

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Decision-level and feature-level integration of remote sensing and geospatial big data for urban land use mapping / Jiadi Yin in Remote sensing, vol 13 n° 8 (April-2 2021)  

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An analysis of the spatial and temporal distribution of large‐scale data production events in OpenStreetMap / A. Yair Grinberger in Transactions in GIS, Vol 25 n° 2 (April 2021)  

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Evolution of the beaches in the regional Park of Salinas and Arenales of San Pedro del Pinatar (Southeast of Spain) (1899–2019) / Daniel Ibarra-Marinas in ISPRS International journal of geo-information, vol 10 n° 4 (April 2021)  

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Geovisualization of COVID-19: State of the art and opportunities / Yu Lan in Cartographica, vol 56 n° 1 (Spring 2021)  

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Urban expansion in the megacity since 1970s: a case study in Mumbai / Sisi Yu in Geocarto international, vol 36 n° 6 ([01/04/2021])  

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