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The limits of GIS implementation in education: A systematic review / Veronika Bernhäuserová in ISPRS International journal of geo-information, vol 11 n° 12 (December 2022)  

Public [article]  inISPRS International journal of geo-information > vol 11 n° 12 (December 2022) . - n° 592 Titre : The limits of GIS implementation in education: A systematic review Type de document : Article/Communication Auteurs : Veronika Bernhäuserová, Auteur ; Lenka Havelková, Auteur ; Kateřina Hátlová, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 592 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] apprentissage (cognition) [Termes IGN] formation [Termes IGN] géographie [Termes IGN] géomatique [Termes IGN] implémentation (informatique) [Termes IGN] système d'information géographique [Termes IGN] terminologie Résumé : (auteur) Despite the extensive discussion on the educational potential of GIS and the changes made in the curricula in many countries, the implementation of GIS in classrooms has still been relatively slow. This is because of variables limiting the process of GIS implementation in lessons. Although research into the limits of GIS implementation has been carried out quite extensively, there is a need for knowledge systematisation in the field. Therefore, the presented systematic review of 34 empirical studies addresses this need and pays attention to the methodological approaches used to research the limits, the identified limits of GIS implementation, their categorisation, and any temporal trends in their occurrence. Altogether, the analysed studies identified 68 limits of GIS implementation in education using mainly quantitative methodology (especially the questionnaire), with utmost attention paid to teachers as participants. These limits then formed complex categorisation that distinguishes elementarily between the limits related to humans and resources. The most frequent and variable category of limits was teachers followed by technology, while both kept their positions in all periods. The systematisation of the research enables the formulation of implications for educational and geoinformatics practice and recommendations for future research. Numéro de notice : A2022-875 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3390/ijgi11120592 Date de publication en ligne : 26/11/2022 En ligne : https://doi.org/10.3390/ijgi11120592 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102174 [article]

Georeferencing accuracy assessment of historical aerial photos using a custom-built online georeferencing tool / Su Zhang in ISPRS International journal of geo-information, vol 11 n° 12 (December 2022)  

Public [article]  inISPRS International journal of geo-information > vol 11 n° 12 (December 2022) . - n° 582 Titre : Georeferencing accuracy assessment of historical aerial photos using a custom-built online georeferencing tool Type de document : Article/Communication Auteurs : Su Zhang, Auteur ; Hays A. Barrett, Auteur ; Shirley V. Baros, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 582 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie [Termes IGN] application web [Termes IGN] ArcGIS [Termes IGN] ArcMap [Termes IGN] géoréférencement indirect [Termes IGN] image ancienne [Termes IGN] photographie aérienne [Termes IGN] point d'appui [Termes IGN] précision du positionnement [Termes IGN] standard OGC Résumé : (auteur) As one of the earliest forms of remote sensing, aerial photography has been regarded as an important part of the mapmaking process. Aerial photos, especially historical aerial photos, provide significant amount of valuable information for many applications and fields. However, due to limited funding support, most historical aerial photos have not been digitized and georeferenced yet, which substantially limits their utility for today’s computer-based image processing and analysis. Traditionally, historical aerial photos are georeferenced with desktop GIS software applications. However, this method is expensive, time-consuming, and labor-intensive. To address these limitations, this research developed a custom-built online georeferencing tool to enable georeferencing digitized historical aerial photos in a web environment, which is able to georeference historical aerial photos in a rapid and cost-effective manner. To evaluate the georeferencing performance, a set of 50 historical aerial photos were georeferenced with not only the developed online georeferencing tool but also two commercial desktop software programs. Research results revealed the custom-built online georeferencing tool provided the highest degree of accuracy while maximizing its accessibility. Numéro de notice : A2022-860 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3390/ijgi11120582 Date de publication en ligne : 22/11/2022 En ligne : https://doi.org/10.3390/ijgi11120582 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102177 [article]

Geographic named entity recognition by employing natural language processing and an improved BERT model / Liufeng Tao in ISPRS International journal of geo-information, vol 11 n° 12 (December 2022)  

Public [article]  inISPRS International journal of geo-information > vol 11 n° 12 (December 2022) . - n° 598 Titre : Geographic named entity recognition by employing natural language processing and an improved BERT model Type de document : Article/Communication Auteurs : Liufeng Tao, Auteur ; Zhong Xie, Auteur ; Dexin Xu, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 598 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] Chine [Termes IGN] classification dirigée [Termes IGN] classification par réseau neuronal récurrent [Termes IGN] données issues des réseaux sociaux [Termes IGN] données publiques [Termes IGN] jeu de données [Termes IGN] reconnaissance de caractères [Termes IGN] reconnaissance de noms [Termes IGN] test de performance [Termes IGN] toponyme [Termes IGN] traitement du langage naturel Résumé : (auteur) Toponym recognition, or the challenge of detecting place names that have a similar referent, is involved in a number of activities connected to geographical information retrieval and geographical information sciences. This research focuses on recognizing Chinese toponyms from social media communications. While broad named entity recognition methods are frequently used to locate places, their accuracy is hampered by the many linguistic abnormalities seen in social media posts, such as informal sentence constructions, name abbreviations, and misspellings. In this study, we describe a Chinese toponym identification model based on a hybrid neural network that was created with these linguistic inconsistencies in mind. Our method adds a number of improvements to a standard bidirectional recurrent neural network model to help with location detection in social media messages. We demonstrate the results of a wide-ranging evaluation of the performance of different supervised machine learning methods, which have the natural advantage of avoiding human design features. A set of controlled experiments with four test datasets (one constructed and three public datasets) demonstrates the performance of supervised machine learning that can achieve good results on the task, significantly outperforming seven baseline models. Numéro de notice : A2022-945 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3390/ijgi11120598 Date de publication en ligne : 28/11/2022 En ligne : https://doi.org/10.3390/ijgi11120598 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102178 [article]

Progressive collapse of dual-line rivers based on river segmentation considering cartographic generalization rules / Fubing Zhang in ISPRS International journal of geo-information, vol 11 n° 12 (December 2022)  

Public [article]  inISPRS International journal of geo-information > vol 11 n° 12 (December 2022) . - n° 609 Titre : Progressive collapse of dual-line rivers based on river segmentation considering cartographic generalization rules Type de document : Article/Communication Auteurs : Fubing Zhang, Auteur ; Qun Sun, Auteur ; Jingzhen Ma, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 609 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] effondrement (généralisation) [Termes IGN] représentation multiple [Termes IGN] rivière [Termes IGN] segmentation [Termes IGN] triangulation de Delaunay [Vedettes matières IGN] Généralisation Résumé : (auteur) Collapse is a common cartographic generalization operation in multi-scale representation and cascade updating of vector spatial data. During transformation from large- to small-scale, the dual-line river shows progressive collapse from narrow river segment to line. The demand for vector spatial data with various scales is increasing; however, research on the progressive collapse of dual-line rivers is lacking. Therefore, we proposed a progressive collapse method based on vector spatial data. First, based on the skeleton graph of the dual-line river, the narrow and normal river segments are preliminarily segmented by calculating the width of the river. Second, combined with the rules of cartographic generalization, the collapse and exaggeration priority strategies are formulated to determine the handling mode of the river segment. Finally, based on the two strategies, progressive collapse of dual-line rivers is realized by collapse and exaggeration of the river segment. Experimental results demonstrated that the progressive collapse results of the proposed method were scale-driven, and the collapse part had no burr and topology problems, whereas the remaining part was clearly visible. The proposed method can be better applied to progressive collapse of the dual-line river through qualitative and quantitative evaluation with another progressive collapse method. Numéro de notice : A2022-901 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3390/ijgi11120609 Date de publication en ligne : 06/12/2022 En ligne : https://doi.org/10.3390/ijgi11120609 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102285 [article]

Groundwater Potential zone mapping: Integration of multi-criteria decision analysis (MCDA) and GIS techniques for the Al-Qalamoun region in Syria / Imad Alrawi in ISPRS International journal of geo-information, vol 11 n° 12 (December 2022)  

Public [article]  inISPRS International journal of geo-information > vol 11 n° 12 (December 2022) . - n° 603 Titre : Groundwater Potential zone mapping: Integration of multi-criteria decision analysis (MCDA) and GIS techniques for the Al-Qalamoun region in Syria Type de document : Article/Communication Auteurs : Imad Alrawi, Auteur ; Jianping Chen, Auteur ; Arsalan Ahmed Othman, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 603 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse multicritère [Termes IGN] carte hydrogéologique [Termes IGN] carte thématique [Termes IGN] eau souterraine [Termes IGN] processus de hiérarchisation analytique [Termes IGN] Syrie [Termes IGN] système d'information géographique Résumé : (auteur) One of the most critical processes for the long-term management of groundwater resources is Groundwater Potential Zonation (GWPZ). Despite their importance, traditional groundwater studies are costly, difficult, complex, and time-consuming. This study aims to investigate GWPZ mapping for the Al-Qalamoun region, in the Western part of Syria. We combined the Multi-Influence Factor (MIF) and Analytic Hierarchy Process (AHP) methods with the Geographic Information Systems (GIS) to estimate the GWPZ. The weight and score factors of eight factors were used to develop the GWPZ including drainage density, lithology, slope, lineament density, geomorphology, land use/land cover, rainfall, and soil. According to the findings, about 46% and 50.6% of the total area of the Al-Qalamoun region was classified as suitable for groundwater recharge by the AHP and MIF methods, respectively. However, 54% and 49.4% of the area was classified as having poor suitability for groundwater recharge by the AHP and MIF methods, respectively. These areas with poor suitability can be utilized for gathering surface water. The validation of the results showed that the AHP and MIF methods have similar accuracy for the GWPZ; however, the accuracy and results depend on influencing factors and their weights assigned by experts. Numéro de notice : A2022-902 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3390/ijgi11120603 Date de publication en ligne : 01/12/2022 En ligne : https://doi.org/10.3390/ijgi11120603 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102288 [article]