Centre de documentation
scientifique

Research themes of geographical information science during 1991 - 2020: a retrospective bibliometric analysis / Xiaohuan Wu in International journal of geographical information science IJGIS, vol 37 n° 2 (February 2023)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 37 n° 2 (February 2023) . - pp 243 - 275 Titre : Research themes of geographical information science during 1991 - 2020: a retrospective bibliometric analysis Type de document : Article/Communication Auteurs : Xiaohuan Wu, Auteur ; Weihua Dong, Auteur ; Lun Wu, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : pp 243 - 275 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse diachronique [Termes IGN] bibliométrie [Termes IGN] information géographique [Termes IGN] publication [Termes IGN] recherche [Termes IGN] système d'information géographique Résumé : (auteur) About 30 years have passed since Michael F. Goodchild proposed the term geographical information science (GIScience) in 1992. In the past 30 years, GIScience has made great progress in expanding research findings and perfecting theories and methods. To understand the development progress of GIScience, this research conducts a bibliometric analysis of 9400 publications between 1991 and 2020 in 10 international refereed journals and 2 international conferences of GIScience. We analyze the publication statistics and trends in GIScience from two aspects of journals/conferences and countries/territories. Based on the community detection of the citation network, we extract 15 research themes and show their leading authors and highly cited articles. Furthermore, the change of publication number in different themes over time can indicate the evolution of some research focuses in GIScience. The results demonstrate that the publication proportions of some themes grow rapidly, such as “moving object,” “volunteered geographic information,” and “geographically weight regression,” while the publication proportions of some themes are decreasing, such as “digital elevation model,” “planning support system,” and “ontology.” In the discussion, the journal distribution of papers on different themes is discussed. Moreover, we suggest a few research directions that are worthy of attention in the future. Numéro de notice : A2023-101 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2022.2119476 Date de publication en ligne : 13/09/2022 En ligne : https://doi.org/10.1080/13658816.2022.2119476 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102427 [article]

Retours d'expérience de la mise en place d'une plateforme collaborative pour le suivi de l'usage du sol / Ana-Maria Olteanu-Raimond in Cartes & Géomatique, n° 247-248 (mars-juin 2022)

Public [article]  inCartes & Géomatique > n° 247-248 (mars-juin 2022) . - pp 65 - 67 Titre : Retours d'expérience de la mise en place d'une plateforme collaborative pour le suivi de l'usage du sol Type de document : Article/Communication Auteurs : Ana-Maria Olteanu-Raimond , Auteur ; Marie-Dominique Van Damme , Auteur ; Laurence Jolivet , Auteur Année de publication : 2022 Conférence : ICC 2021, 30th ICA international cartographic conference 14/12/2021 18/12/2021 Florence Italie Article en page(s) : pp 65 - 67 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données d'occupation du sol [Termes IGN] changement d'utilisation du sol [Termes IGN] données localisées des bénévoles [Termes IGN] information géographique [Termes IGN] plateforme collaborative [Termes IGN] Toulouse [Termes IGN] utilisation du sol Résumé : (Auteur) [Résumé de l'intervention faite à Florence lors de la conférence de l'ACI en décembre 2021] La cartographie et le suivi de l'usage du sol (US) à une échelle spatiale et temporelle fine nécessitent beaucoup d'efforts. Des approches de détection de changement s'appuient sur la télédétection (Lu et al., 2014), cependant l'information d'usage n'est pas nécessairement en lien avec l'information de couverture du sol et elle n'est pas triviale. Un intérêt considérable s'est porté sur l'information géographique volontaire (ou volunteered geographic information) (Goodchild, 2007) comme une source de données alternative (Fonte et al., 2013) ; Fritz et al., 2015). L'objectif de cet article est de discuter des retours d'expérience suite à une initiative en information géographique volontaire pour collecter des observations sur des changements et des usages du sol ciblés (par exemple activité en carrière, usage et nombre d'étages d'un bâtiment, construction en cours), ceci afin de mettre à jour et d'enrichir des bases de données d'usage du sol institutionnelles produites par l'IGN. Numéro de notice : A2022-677 Affiliation des auteurs : UGE-LASTIG (2020- ) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101895 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
021-2022011	SL	Revue	Centre de documentation	Revues en salle	Disponible

Epistemological thoughts on the success of maps and the role of cartography / David Fairbairn in International journal of cartography, vol 7 n° 3 (October 2021)  

Public [article]  inInternational journal of cartography > vol 7 n° 3 (October 2021) . - pp 317-331 Titre : Epistemological thoughts on the success of maps and the role of cartography Type de document : Article/Communication Auteurs : David Fairbairn, Auteur ; Georg Gartner, Auteur ; Michael P. Peterson, Auteur Année de publication : 2021 Article en page(s) : pp 317-331 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie [Termes IGN] carte analytique [Termes IGN] carte thématique [Termes IGN] épistémologie [Termes IGN] information géographique [Termes IGN] représentation cartographique [Termes IGN] visualisation cartographique Résumé : (auteur) In the context of assertions that defining a map is an illogical and futile exercise, this paper examines the distinctiveness of the discipline of cartography and the success of the human endeavour that has produced ‘things’ called maps. We contend not only that cartography is a coherent and distinctive discipline (although we do consider the semantics involved in, and rationale for, referring to it by that name), but that human society cannot function without maps. The major reason for this is that each map is created for a human or societal purpose – and this purpose defines the nature and utility of the map. The role of a map defines the very nature of a map itself, and we reflect on the creation, functionality, and success of mapping activity. This leads us to conclude with pointers to functional definition of the map. Numéro de notice : A2021-746 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/23729333.2021.1972909 Date de publication en ligne : 01/09/2021 En ligne : https://doi.org/10.1080/23729333.2021.1972909 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98704 [article]

A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection / Xi Wu in ISPRS Journal of photogrammetry and remote sensing, vol 174 (April 2021)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 174 (April 2021) . - pp 87 - 104 Titre : A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection Type de document : Article/Communication Auteurs : Xi Wu, Auteur ; Zhenwei Shi, Auteur ; Zhengxia Zou, Auteur Année de publication : 2021 Article en page(s) : pp 87 - 104 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] altitude [Termes IGN] apprentissage profond [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] détection des nuages [Termes IGN] extraction de traits caractéristiques [Termes IGN] fusion de données [Termes IGN] image Gaofen [Termes IGN] information géographique [Termes IGN] latitude [Termes IGN] longitude [Termes IGN] modèle statistique [Termes IGN] neige [Termes IGN] Normalized Difference Snow Index Résumé : (auteur) Geographic information such as the altitude, latitude, and longitude are common but fundamental meta-records in remote sensing image products. In this paper, it is shown that such a group of records provides important priors for cloud and snow detection in remote sensing imagery. The intuition comes from some common geographical knowledge, where many of them are important but are often overlooked. For example, it is generally known that snow is less likely to exist in low-latitude or low-altitude areas, and clouds in different geographic may have various visual appearances. Previous cloud and snow detection methods simply ignore the use of such information, and perform detection solely based on the image data (band reflectance). Due to the neglect of such priors, most of these methods are difficult to obtain satisfactory performance in complex scenarios (e.g., cloud-snow coexistence). In this paper, a novel neural network called “Geographic Information-driven Network (GeoInfoNet)” is proposed for cloud and snow detection. In addition to the use of the image data, the model integrates the geographic information at both training and detection phases. A “geographic information encoder” is specially designed, which encodes the altitude, latitude, and longitude of imagery to a set of auxiliary maps and then feeds them to the detection network. The proposed network can be trained in an end-to-end fashion with dense robust features extracted and fused. A new dataset called “Levir_CS” for cloud and snow detection is built, which contains 4,168 Gaofen-1 satellite images and corresponding geographical records, and is over 20× larger than other datasets in this field. On “Levir_CS”, experiments show that the method achieves 90.74% intersection over union of cloud and 78.26% intersection over union of snow. It outperforms other state of the art cloud and snow detection methods with a large margin. Feature visualizations also show that the method learns some important priors which is close to the common sense. The proposed dataset and the code of GeoInfoNet are available in https://github.com/permanentCH5/GeoInfoNet. Numéro de notice : A2021-209 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2021.01.023 Date de publication en ligne : 22/02/2021 En ligne : https://doi.org/10.1016/j.isprsjprs.2021.01.023 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97187 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2021041	SL	Revue	Centre de documentation	Revues en salle	Disponible
081-2021042	DEP-RECF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Reproducible research and GIScience: An evaluation using GIScience conference papers / Franck O. Ostermann (2021)  

Public Titre : Reproducible research and GIScience: An evaluation using GIScience conference papers Type de document : Article/Communication Auteurs : Franck O. Ostermann, Auteur ; Daniel Nüst, Auteur ; Carlos Granell, Auteur ; Barbara Hofer, Auteur ; Markus Konkol, Auteur Editeur : Leibniz [Allemagne] : Schloss Dagstuhl – Leibniz-Zentrum für Informatik Année de publication : 2021 Conférence : GIScience 2021, 11th International Conference on Geographic Information Science 27/09/2021 30/09/2021 Poznań Pologne Open Access Proceedings Importance : 16 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Société de l'information [Termes IGN] code source libre [Termes IGN] données ouvertes [Termes IGN] information géographique [Termes IGN] recherche scientifique [Termes IGN] reproductibilité Résumé : (auteur) GIScience conference authors and researchers face the same computational reproducibility challenges as authors and researchers from other disciplines who use computers to analyse data. Here, to assess the reproducibility of GIScience research, we apply a rubric for assessing the reproducibility of 75 conference papers published at the GIScience conference series in the years 2012-2018. Since the rubric and process were previously applied to the publications of the AGILE conference series, this paper itself is an attempt to replicate that analysis, however going beyond the previous work by evaluating and discussing proposed measures to improve reproducibility in the specific context of the GIScience conference series. The results of the GIScience paper assessment are in line with previous findings: although descriptions of workflows and the inclusion of the data and software suffice to explain the presented work, in most published papers they do not allow a third party to reproduce the results and findings with a reasonable effort. We summarise and adapt previous recommendations for improving this situation and propose the GIScience community to start a broad discussion on the reusability, quality, and openness of its research. Further, we critically reflect on the process of assessing paper reproducibility, and provide suggestions for improving future assessments. The code and data for this article are published at https://doi.org/10.5281/zenodo.4032875. Numéro de notice : C2021-080 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE/INFORMATIQUE/SOCIETE NUMERIQUE Nature : Communication DOI : 10.4230/LIPIcs.GIScience.2021.II.2 Date de publication en ligne : 14/09/2021 En ligne : https://doi.org/10.4230/LIPIcs.GIScience.2021.II.2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100938

Mapping the fantastic great Southern continent, 1760–1777: A study in enlightenment geography / Vanessa Collingridge in Cartographic journal (the), Vol 57 n° 4 (November 2020)  

Permalink

Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data / Shivangi Srivastava in International journal of geographical information science IJGIS, vol 34 n° 6 (June 2020)  

Permalink

Ontology of core concept data types for answering geo-analytical questions / Simon Scheider in Journal of Spatial Information Science, JoSIS, n° 20 (2020)  

Permalink

The position of sound in audiovisual maps: an experimental study of performance in spatial memory / Nils Siepmann in Cartographica, vol 55 n° 2 (Summer 2020)  

Permalink

A Single Model CNN for Hyperspectral Image Denoising / Alessandro Maffei in IEEE Transactions on geoscience and remote sensing, vol 58 n° 4 (April 2020)  

Permalink

Street-Frontage-Net: urban image classification using deep convolutional neural networks / Stephen Law in International journal of geographical information science IJGIS, vol 34 n° 4 (April 2020)  

Permalink

Morphological tessellation as a way of partitioning space: Improving consistency in urban morphology at the plot scale / Martin Fleischmann in Computers, Environment and Urban Systems, vol 80 (March 2020)  

Permalink

Composition of place: towards a compositional view of functional space / Emmanuel Papadakis in Cartography and Geographic Information Science, Vol 47 n° 1 (January 2020)  

Permalink

Extraction de connaissances pour la description de l'environnement maritime côtier à partir de textes d'aide à la navigation / Léa Lamotte in Revue des Nouvelles Technologies de l'Information, E.36 (2020)

Permalink

Georeferenced measurements of building objects with their simultaneous shape detection / Edward Osada in Survey review, Vol 52 n°370 (January 2020)  

Permalink