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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])
[article]
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 urbaineRésumé : (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
in Geocarto international > vol 37 n° 19 [15/09/2022] . - pp 5716 - 5741[article]Cartographic enclosure and urban cadastral mapping in the Ethiopian Somali capital / Romy Emmenegger in Cartographica, vol 57 n° 3 (September 2022)
[article]
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] Cadastre étranger
[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 solRésumé : (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
in Cartographica > vol 57 n° 3 (September 2022) . - pp 226 - 238[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 031-2022031 RAB Revue Centre de documentation En réserve L003 Disponible Characteristics of augmented map research from a cartographic perspective / Yi Cheng in Cartography and Geographic Information Science, Vol 49 n° 5 (September 2022)
[article]
Titre : Characteristics of augmented map research from a cartographic perspective Type de document : Article/Communication Auteurs : Yi Cheng, Auteur ; Guochuang Zhu, Auteur ; Cong Yang, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 426 - 442 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte interactive
[Termes IGN] cognition
[Termes IGN] compréhension de l'image
[Termes IGN] lecture de carte
[Termes IGN] réalité augmentée
[Termes IGN] représentation cartographique 3D
[Termes IGN] visualisation cartographique
[Vedettes matières IGN] CartologieRésumé : (auteur) “Why,” “what,” and “how” are basic questions to be answered in augmented map research as an intersecting direction. This study summarizes dynamic visual representations and true 3D interactions as characteristics of augmented maps from the cartographic perspective through analysis of the research progress in different disciplines. From secondary viewpoints of cognition and design, the augmented map cube is presented to establish the research framework in three directions: cognitive purposes, information dimensions, and interactive devices, in which map-based spatial cognition theory, augmented visualization, and interactive features are considered. The research evaluation is carried out to determine the reasonableness of the cube and then identify different research statuses in any one or two of the directions under the cube. Based on a literature search and classification, 30 typical studies were used for structural analysis to discover research trends and new directions that can be mined. The results show that the cube can be used to evaluate the coverage of an article or provide researchers with research trends and new possibilities. Our conclusions include but are not limited to the following: Research for retrieval purposes deserves attention, augmented visualization of specific individual elements is key to understanding maps, and interactive devices become more intangible. Numéro de notice : A2022-634 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2022.2059571 Date de publication en ligne : 22/04/2022 En ligne : https://doi.org/10.1080/15230406.2022.2059571 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101401
in Cartography and Geographic Information Science > Vol 49 n° 5 (September 2022) . - pp 426 - 442[article]Design and construction of a colourblind-friendly Surabaya city angkot route map prototype / Arzakhy Indhira Pramesti in Cartographica, vol 57 n° 3 (September 2022)
[article]
Titre : Design and construction of a colourblind-friendly Surabaya city angkot route map prototype Type de document : Article/Communication Auteurs : Arzakhy Indhira Pramesti, Auteur ; Noorhadi Rahardjo, Auteur Année de publication : 2022 Article en page(s) : pp 195 - 212 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Rédaction cartographique
[Termes IGN] carte routière
[Termes IGN] chromatopsie
[Termes IGN] conception cartographique
[Termes IGN] couleur (rédaction cartographique)
[Termes IGN] daltonisme
[Termes IGN] Indonésie
[Termes IGN] itinéraire
[Termes IGN] lisibilité perceptive
[Termes IGN] prototype
[Termes IGN] transport collectifRésumé : (auteur) Angkot is the most often found public transportation in Surabaya City. However, there is no angkot routes map, and the officially published route information is textual, thus hard to get the transit information quickly. Meanwhile, people with colour vision impairment have a different perception of colour compared to people with normal vision. It can affect them in making decisions when reading a map. The purpose of this study is to design a colourblind-friendly Surabaya City angkot route map prototype and to conduct a cartographic evaluation of the map by considering the colour vision impairment factor. The map was created using ArcGIS and CorelDRAW then checked by using several software packages to ensure that the colours are colourblind-friendly then tested on people with normal vision and people with colour vision impairment. Fifteen out of 15 respondents with normal vision and 11 out of 11 respondents with colour vision impairment could distinguish the colours of the route. All respondents mentioned that symbols and some texts were too small. It shows that the colours on the map can accommodate both groups, but they have difficulty reading the route map because the size of the symbols and the text is too small. Numéro de notice : A2022-850 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart-2021-0005 Date de publication en ligne : 04/11/2022 En ligne : https://doi.org/10.3138/cart-2021-0005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102088
in Cartographica > vol 57 n° 3 (September 2022) . - pp 195 - 212[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 031-2022031 RAB Revue Centre de documentation En réserve L003 Disponible Flood vulnerability and buildings’ flood exposure assessment in a densely urbanised city: comparative analysis of three scenarios using a neural network approach / Quoc Bao Pham in Natural Hazards, vol 113 n° 2 (September 2022)
[article]
Titre : Flood vulnerability and buildings’ flood exposure assessment in a densely urbanised city: comparative analysis of three scenarios using a neural network approach Type de document : Article/Communication Auteurs : Quoc Bao Pham, Auteur ; Sk Ajim Ali, Auteur ; Elzbieta Bielecka, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 1043 - 1081 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] aléa
[Termes IGN] apprentissage profond
[Termes IGN] cartographie des risques
[Termes IGN] classification par Perceptron multicouche
[Termes IGN] inondation
[Termes IGN] modèle de simulation
[Termes IGN] prévention des risques
[Termes IGN] processus de hiérarchisation analytique
[Termes IGN] régression logistique
[Termes IGN] réseau neuronal artificiel
[Termes IGN] système d'information géographique
[Termes IGN] Varsovie (Pologne)
[Termes IGN] vulnérabilité
[Termes IGN] zone urbaine denseRésumé : (auteur) Advances in the availability of multi-sensor, remote sensing-derived datasets, and machine learning algorithms can now provide an unprecedented possibility to predict flood events and risk. Therefore, this study was undertaken to develop a flood vulnerability map and to assess the exposure of buildings to flood risk in Warsaw, the capital of Poland. This goal was pursued in four research phases. The thirteen flood predictors were evaluated using information gain ratio (IGR), and finally reduced to eight of the most causative ones and used for flood vulnerability mapping with three machine learning algorithms, Artificial Neural Network Multi-Layer Perceptron (ANN/MLP), Deep Learning Neural Network based approach—DL4j (DLNN-DL4j) and Bayesian Logistic Regression (BLR). These algorithms show a good predictive performance with the receiver operating curve (ROC) value of 0.851, 0.877 and 0.697, respectively. The buildings’ exposure to flood was assessed in line with criteria established in European and national legal regulations. The introduced new buildings' flood hazard index (BFH) revealed a significant similarity of potential flood risk for both models, highlighting the greatest risk in zones with high vulnerability to flooding. Depending on the method used, the BFH value was 0.54 (ANN), 0.52 (DLNNs) or 0.64 (BLR). The holistic approach proposed in this study could assist local authorities in improving flood management. Numéro de notice : A2022-705 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.1007/s11069-022-05336-5 Date de publication en ligne : 05/04/2022 En ligne : https://doi.org/10.1007/s11069-022-05336-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101569
in Natural Hazards > vol 113 n° 2 (September 2022) . - pp 1043 - 1081[article]A general model for creating robust choropleth maps / Wangshu Mu in Computers, Environment and Urban Systems, vol 96 (September 2022)PermalinkHistorical mapping of rice fields in Japan using phenology and temporally aggregated Landsat images in Google Earth Engine / Luis Carrasco in ISPRS Journal of photogrammetry and remote sensing, vol 191 (September 2022)PermalinkMapping annual urban evolution process (2001–2018) at 250 m: A normalized multi-objective deep learning regression / Haoyu Wang in Remote sensing of environment, vol 278 (September 2022)PermalinkPoint-of-interest detection from Weibo data for map updating / Xue Yang in Transactions in GIS, vol 26 n° 6 (September 2022)PermalinkPourquoi le rendu des zones rocheuses sur les nouvelles cartes IGN est-il si différent de l’ancien ? / Paul Courbon in XYZ, n° 172 (septembre 2022)Permalink"Process toponymy": A GIS-based community-engaged approach to indigenous dynamic place naming systems and vernacular cartography / Nadezhda Mamontova in Cartographica, vol 57 n° 3 (September 2022)PermalinkAn investigation into heat storage by adopting local climate zones and nocturnal-diurnal urban heat island differences in the Tokyo Prefecture / Christopher O'Malley in Sustainable Cities and Society, vol 83 (August 2022)PermalinkDetection and characterization of slow-moving landslides in the 2017 Jiuzhaigou earthquake area by combining satellite SAR observations and airborne Lidar DSM / Jiehua Cai in Engineering Geology, vol 305 (August 2022)PermalinkUse of GIS and dasymetric mapping for estimating tsunami-affected population to facilitate humanitarian relief logistics: a case study from Phuket, Thailand / Kiatkulchai Jitt-Aer in Natural Hazards, vol 113 n° 1 (August 2022)PermalinkAdaptive transfer of color from images to maps and visualizations / Mingguang Wu in Cartography and Geographic Information Science, Vol 49 n° 4 (July 2022)Permalink