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Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood / Amid Darabi in Geocarto international, vol 37 n° 19 ([15/09/2022])  

Public [article]  inGeocarto international > vol 37 n° 19 [15/09/2022] . - pp 5716 - 5741 Titre : Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood Type de document : Article/Communication Auteurs : Amid Darabi, Auteur ; Omid Rahmati, Auteur ; Seyed Amir Naghibi, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 5716 - 5741 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] aléa [Termes IGN] apprentissage automatique [Termes IGN] cartographie des risques [Termes IGN] classification et arbre de régression [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] classification par Perceptron multicouche [Termes IGN] écoulement des eaux [Termes IGN] inondation [Termes IGN] Iran [Termes IGN] simulation spatiale [Termes IGN] zone urbaine Résumé : (auteur) In this study, a new hybridized machine learning algorithm for urban flood susceptibility mapping, named MultiB-MLPNN, was developed using a multi-boosting technique and MLPNN. The model was tested in Amol City, Iran, a data-scarce city in an ungauged area which is prone to severe flood inundation events and currently lacks flood prevention infrastructure. Performance of the hybridized model was compared with that of a standalone MLPNN model, random forest and boosted regression trees. Area under the curve, efficiency, true skill statistic, Matthews correlation coefficient, misclassification rate, sensitivity and specificity were used to evaluate model performance. In validation, the MultiB-MLPNN model showed the best predictive performance. The hybridized MultiB-MLPNN model is thus useful for generating realistic flood susceptibility maps for data-scarce urban areas. The maps can be used to develop risk-reduction measures to protect urban areas from devastating floods, particularly where available data are insufficient to support physically based hydrological or hydraulic models. Numéro de notice : A2022-708 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2021.1920629 Date de publication en ligne : 13/05/2021 En ligne : https://doi.org/10.1080/10106049.2021.1920629 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101578 [article]

Cartographic enclosure and urban cadastral mapping in the Ethiopian Somali capital / Romy Emmenegger in Cartographica, vol 57 n° 3 (September)  

Public [article]  inCartographica > vol 57 n° 3 (September) . - pp 226 - 238 Titre : Cartographic enclosure and urban cadastral mapping in the Ethiopian Somali capital Type de document : Article/Communication Auteurs : Romy Emmenegger, Auteur Année de publication : 2022 Article en page(s) : pp 226 - 238 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] aménagement du territoire [Termes IGN] cadastre étranger [Termes IGN] cartographie cadastrale [Termes IGN] Ethiopie [Termes IGN] géoréférencement [Termes IGN] propriété foncière [Termes IGN] représentation cartographique [Termes IGN] territoire [Termes IGN] utilisation du sol Résumé : (auteur) Cadastral maps, which are designed as comprehensive systems for recording and surveying land relations, are critical for making society legible and governable. However, critical cartography scholarship suggests that exercising power through maps is not straightforward: It is dependent on how maps are created and used during the mapping process. This paper examines cadastral mapping in Jigjiga, a multi-ethnic city in the Ethiopian Somali frontier where state authority over land and people have long been contested among ethnic Somali residents. This paper follows the ruling government’s renewed attempt to establish land control through spatial planning based on document analysis and ethnographic fieldwork. It investigates how urban planners enclose the city’s property landscape cartographically on land use maps and how land surveyors used these maps to georeference property. It demonstrates the critical role of land governance experts in navigating the simplified map and a complex property landscape on the ground. Cadastral mapping is instrumental for state territorialization and land commodification, integrating ethnic Somali property into the sedentary logic of the state. Rather than providing an account of how property is rendered legible, this paper highlights the incomplete and open-ended character of cadastral mapping in the constitution of private property regimes. Numéro de notice : A2022-849 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart-2021-0011 Date de publication en ligne : 04/11/2022 En ligne : https://doi.org/10.3138/cart-2021-0011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102087 [article]

Characteristics of disease maps of zoonoses: A scoping review and a recommendation for a reporting guideline for disease maps / Inthuja Selvaratnam in Cartographica, vol 57 n° 2 (Summer 2022)  

Public [article]  inCartographica > vol 57 n° 2 (Summer 2022) . - pp 113 - 126 Titre : Characteristics of disease maps of zoonoses: A scoping review and a recommendation for a reporting guideline for disease maps Type de document : Article/Communication Auteurs : Inthuja Selvaratnam, Auteur ; Olaf Berke, Auteur ; Abhinand Thaivalappil, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 113 - 126 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] analyse de données [Termes IGN] analyse spatio-temporelle [Termes IGN] carte choroplèthe [Termes IGN] données localisées [Termes IGN] échelle cartographique [Termes IGN] extraction de données [Termes IGN] lecture de carte [Termes IGN] maladie infectieuse [Termes IGN] projection Résumé : (auteur) This scoping review investigates the characteristics and reporting of disease maps of zoonoses published in the scientific literature from 2017 to 2018. Two reviewers conducted duplicate screening of titles and abstracts identified from a search in Medline and additional databases. Studies were included if they had a disease map figure describing a zoonotic disease. Map characteristics were extracted and summarized from full-text articles meeting inclusion criteria. The search identified 1666 records. A total of 302 articles meeting eligibility criteria were included, comprising 505 disease maps. While most studies (66%) used maps for descriptive exploratory purposes of identifying and representing spatial patterns visually, disease maps were also used analytically to display the results of geospatial and spatial statistical analyses in studies (34%). Most published disease maps identified in this review were reported without information that could be important for geospatial interpretations and their reproducibility. Specifically, 92% of maps in this review did not report the map projection. The findings from this scoping review support the development of a reporting guideline for thematic disease maps. Numéro de notice : A2022-635 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart-2021-0019 Date de publication en ligne : 23/06/2022 En ligne : https://doi.org/10.3138/cart-2021-0019 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101422 [article]

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Mapping monthly population distribution and variation at 1-km resolution across China / Zhifeng Cheng in International journal of geographical information science IJGIS, vol 36 n° 6 (June 2022)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 36 n° 6 (June 2022) . - pp 1166 - 1184 Titre : Mapping monthly population distribution and variation at 1-km resolution across China Type de document : Article/Communication Auteurs : Zhifeng Cheng, Auteur ; Jianghao Wang, Auteur ; Yong Ge, Auteur Année de publication : 2022 Article en page(s) : pp 1166 - 1184 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] analyse spatiale [Termes IGN] autocorrélation spatiale [Termes IGN] Chine [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] densité de population [Termes IGN] distribution spatiale [Termes IGN] figuration de la densité [Termes IGN] krigeage [Termes IGN] population [Termes IGN] série temporelle [Termes IGN] téléphonie mobile Résumé : (auteur) Fine-grained inner-annual population data are instrumental in climate change response, resource allocation, and epidemic control. However, such data are currently scarce due to the lack of human-related indicators with both high temporal resolution and long-term coverage that can be used in the process of population spatialization. Here, we estimate monthly 1-km gridded population distribution across China in 2015 using time-series mobile phone positioning data. We construct a hybrid downscaling model to map the gridded population by incorporating random forest and area-to-point kriging. The estimated monthly population products appear to capture inner-annual population variations, especially during special periods, such as the festival, holiday, and short-term labor flow period, which are characterized by large-scale population movements. Additionally, compared with census data, the hybrid model-based results obtained exhibit higher consistency than popular global population products across all spatial extents. Our monthly 1-km data products for the population distribution across China in 2015 provide a credible dataset that can be employed in studies aimed at accurate population-dependent decisions. Numéro de notice : A2022-407 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2020.1854767 Date de publication en ligne : 07/12/2020 En ligne : https://doi.org/10.1080/13658816.2020.1854767 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100724 [article]

Novel hybrid models combining meta-heuristic algorithms with support vector regression (SVR) for groundwater potential mapping / A'Kif Al-Fugara in Geocarto international, vol 37 n° 9 ([15/05/2022])  

Public [article]  inGeocarto international > vol 37 n° 9 [15/05/2022] . - pp 2627 - 2646 Titre : Novel hybrid models combining meta-heuristic algorithms with support vector regression (SVR) for groundwater potential mapping Type de document : Article/Communication Auteurs : A'Kif Al-Fugara, Auteur ; Mohammad Ahmadlou, Auteur ; Rania Shatnawi, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 2627 - 2646 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] algorithme du recuit simulé [Termes IGN] algorithme génétique [Termes IGN] analyse comparative [Termes IGN] carte hydrogéologique [Termes IGN] eau souterraine [Termes IGN] Jordanie [Termes IGN] méthode heuristique [Termes IGN] optimisation (mathématiques) [Termes IGN] régression Résumé : (auteur) This study aims to develop three novel GIS-based models combining Genetic Algorithm (GA), Biogeography-Based Optimization (BBO) and Simulated Annealing (SA) with Support Vector Regression (SVR) for groundwater potential (GP) mapping in the governorate of Tafillah, Jordan. Twelve topographical, hydrological and geological factors were considered. The mapping process was done with and without feature selection (FS) conducted by integration of SVR model with GA, BBO and SA algorithms. The accuracy of these models was evaluated using the area under receiver operating characteristic (AUROC) curve. Comparisons among the models uncovered that the SVR-RBF-GA and SVR-RBF-BBO models performed better than the SVR-RBF-SA. The AUROC for two mentioned models were 0.964 and 0.996 in training and testing runs, respectively, while this metric was 0.953 and 0.986 for SVR-RBF-SA model in training and testing runs, respectively. The results showed that after FS, the models are more accurate in test data than train data. Numéro de notice : A2022-567 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2020.1831622 Date de publication en ligne : 19/10/2020 En ligne : https://doi.org/10.1080/10106049.2020.1831622 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101250 [article]

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L’usage des cartes en temps de guerre / Olivier Razemon in Géomètre, n° 2202 (mai 2022)

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Optimal resolution of soil properties maps varies according to their geographical extent and location / Christian Piedallu in Geoderma, vol 412 (15 April 2022)  

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Measuring and mapping long-term changes in migration flows using population-scale family tree data / Caglar Koylu in Cartography and Geographic Information Science, vol 49 n° 2 (March 2022)  

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Atlas of global change risk of population and economic systems / Peijun Shi (2022)  

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Evaluation de méthodes automatisées de cartographie des zones inondables adaptées à la prévision des crues soudaines / Nabil Hocini (2022)  

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Mapping power / Ben Ori Gitai (2022)  

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Multi-nomenclature, multi-resolution joint translation: an application to land-cover mapping / Luc Baudoux in International journal of geographical information science IJGIS, vol 36 n° inconnu (2022)  

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Potential flood hazard zone mapping based on geomorphologic considerations and fuzzy analytical hierarchy model in a data scarce West African basin / Olabanji Aladejana in Geocarto international, vol 36 n° 19 ([01/11/2021])  

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Traditional communities and mental maps: Dialogues between local knowledge and cartography from the socioenvironmental atlas of Lençóis Maranhenses, Brazil / Benedito Souza Filho in ISPRS International journal of geo-information, vol 10 n° 11 (November 2021)  

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Flood inundation mapping and hazard assessment of Baitarani River basin using hydrologic and hydraulic model / Gaurav Talukdar in Natural Hazards, vol 109 n° 1 (October 2021)  

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