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Etendre la recherche sur niveau(x) vers le bas
Development and assessment of rainwater harvesting suitability map using analytical hierarchy process, GIS and RS techniques / Khaled S. Balkhair in Geocarto international, vol 36 n° 4 ([15/03/2021])
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Titre : Development and assessment of rainwater harvesting suitability map using analytical hierarchy process, GIS and RS techniques Type de document : Article/Communication Auteurs : Khaled S. Balkhair, Auteur ; Khalil Ur Rahman, Auteur Année de publication : 2021 Article en page(s) : pp 421 - 448 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes descripteurs IGN] aide à la décision
[Termes descripteurs IGN] analyse de sensibilité
[Termes descripteurs IGN] Arabie Saoudite
[Termes descripteurs IGN] bassin hydrographique
[Termes descripteurs IGN] carte hydrographique
[Termes descripteurs IGN] eau pluviale
[Termes descripteurs IGN] écoulement des eaux
[Termes descripteurs IGN] gestion de l'eau
[Termes descripteurs IGN] processus d'analyse hiérarchique
[Termes descripteurs IGN] système d'information géographiqueRésumé : (auteur) Rainwater harvesting (RWH), which is the collection and storage of rainwater for multiple purposes, is gaining recognition in water supply issues. Selection of harvesting sites is the most critical factor in RWH projects. The objective of this study is to develop a suitability map of RWH sites for a basin in Saudi Arabia. The method used, constitute the identification and assigning weights to criteria, and generation of suitability map using Analytical Hierarchy Process (AHP). Eight appropriate criteria were considered. Results showed that excellent and good sites covered about 40.6% of the total available sites. Sensitivity analysis showed that the curve number (CN), slope, rainfall and soil were the most influential criteria. The maximum increase in the percentage area of excellent sites was 92% while good and moderate classes decreased by 43 and 53%, respectively. The developed suitability maps provide useful information to the decision maker for use in water management. Numéro de notice : A2021-162 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.160859 date de publication en ligne : 10/06/2019 En ligne : https://doi.org/10.1080/10106049.2019.1608591 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97082
in Geocarto international > vol 36 n° 4 [15/03/2021] . - pp 421 - 448[article]Automating and utilising equal-distribution data classification / Gennady Andrienko in International journal of cartography, vol 7 n° 1 (March 2021)
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Titre : Automating and utilising equal-distribution data classification Type de document : Article/Communication Auteurs : Gennady Andrienko, Auteur ; Natalia Andrienko, Auteur ; Ibad Kureshi, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 100 - 115 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes descripteurs IGN] analyse de données
[Termes descripteurs IGN] attribut géomètrique
[Termes descripteurs IGN] attribut sémantique
[Termes descripteurs IGN] carte choroplèthe
[Termes descripteurs IGN] classification
[Termes descripteurs IGN] exploration de données géographiques
[Termes descripteurs IGN] intervalle de classeRésumé : (Auteur) Data classification, i.e. organising data items in groups (classes), is a general technique widely used in data visualisation and cartography, in particular, for creation of choropleth maps. Conventionally, data are classified by dividing the data range into intervals and assigning the same symbol or colour to all data falling within an interval. For instance, the intervals may be of the same length or may include the same number of data items. We propose a method for defining intervals so that some quantity represented by values of another attribute is equally distributed among the classes. This kind of classification supports exploratory analysis of relationships between the attribute used for the classification and the distribution of the phenomenon whose quantity is represented by the additional attribute. The approach may be especially useful when the distribution of the phenomenon is very unequal, with many data items having zero or low quantities and quite a few items having larger quantities. With such a distribution, standard statistical analysis of the relationships may be problematic. We demonstrate the potential of the approach by analysing data referring to a set of spatially distributed people (patients) in relationship to characteristics of the areas in which the people live. Numéro de notice : A2021-184 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2020.1863000 date de publication en ligne : 05/01/2021 En ligne : https://doi.org/10.1080/23729333.2020.1863000 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97114
in International journal of cartography > vol 7 n° 1 (March 2021) . - pp 100 - 115[article]Space-time disease mapping by combining Bayesian maximum entropy and Kalman filter: the BME-Kalman approach / Bisong Hu in International journal of geographical information science IJGIS, vol 35 n° 3 (March 2021)
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Titre : Space-time disease mapping by combining Bayesian maximum entropy and Kalman filter: the BME-Kalman approach Type de document : Article/Communication Auteurs : Bisong Hu, Auteur ; Pan Ning, Auteur ; Yi Li, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 466 - 489 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes descripteurs IGN] carte sanitaire
[Termes descripteurs IGN] Chine
[Termes descripteurs IGN] entropie maximale
[Termes descripteurs IGN] filtre de Kalman
[Termes descripteurs IGN] géostatistique
[Termes descripteurs IGN] modèle dynamique
[Termes descripteurs IGN] régressionRésumé : (auteur) In this work, a synthesis of the Bayesian maximum entropy (BME) and the Kalman filter (KF) methods, which enhances their individual strengths and overcomes certain of their weaknesses for spatiotemporal mapping purposes, is proposed in a spatiotemporal disease mapping context. The proposed BME-Kalman synthesis allows BME to use information from both parametric regression modeling and KF estimation leading to enhanced knowledge bases. The BME-Kalman synthetic approach is used to study the space-time incidence mapping of the hand, foot and mouth disease (HFMD) in Shandong province (China) during the period May 1st, 2008 to March 19th, 2009. The results showed that the BME-Kalman approach exhibited very good regressive and predictive accuracies, maintained a very good performance even during low-incidence and extremely low-incidence periods, offered an improved description of hierarchical disease characteristics compared to traditional mapping techniques, and provided a clear explanation of the spatial stratified incidence heterogeneity at unsampled locations. The BME-Kalman approach is versatile and flexible so that it can be modified and adjusted according to the needs of the application. Numéro de notice : A2021-165 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2020.1795177 date de publication en ligne : 22/07/2021 En ligne : https://doi.org/10.1080/13658816.2020.1795177 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97098
in International journal of geographical information science IJGIS > vol 35 n° 3 (March 2021) . - pp 466 - 489[article]Emotional habitat: mapping the global geographic distribution of human emotion with physical environmental factors using a species distribution model / Yizhuo Li in International journal of geographical information science IJGIS, vol 35 n° 2 (February 2021)
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Titre : Emotional habitat: mapping the global geographic distribution of human emotion with physical environmental factors using a species distribution model Type de document : Article/Communication Auteurs : Yizhuo Li, Auteur ; Teng Fei, Auteur ; Yingjing Huang, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 227 - 249 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes descripteurs IGN] comportement
[Termes descripteurs IGN] détection de visage
[Termes descripteurs IGN] distribution spatiale
[Termes descripteurs IGN] données environnementales
[Termes descripteurs IGN] émotion
[Termes descripteurs IGN] entropie
[Termes descripteurs IGN] psychologie
[Termes descripteurs IGN] reconnaissance faciale
[Termes descripteurs IGN] sciences humaines
[Termes descripteurs IGN] visionRésumé : (auteur) Human emotion is an intrinsic psychological state that is influenced by human thoughts and behaviours. Human emotion distribution has been regarded as an important part of emotional geography research. However, it is difficult to form a global scaled map reflecting human emotions at the same sampling density because various emotional sampling data are usually positive occurrences without absence data. In this study, a methodological framework for mapping the global geographic distribution of human emotion is proposed and applied, combining a species distribution model with physical environment factors. State-of-the-art affective computing technology is used to extract human emotions from facial expressions in Flickr photos. Various human emotions are considered as different species to form their ‘habitats’ and predict the suitability, termed as ‘Emotional Habitat’. To our knowledge, this framework is the first method to predict emotional distribution from an ecological perspective. Different geographic distributions of seven dimensional emotions are explored and depicted, and emotional diversity and abnormality are detected at the global scale. These results confirm the effectiveness of our framework and offer new insights to understand the relationship between human emotions and the physical environment. Moreover, our method facilitates further rigorous exploration in emotional geography and enriches its content. Numéro de notice : A2021-037 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2020.1755040 date de publication en ligne : 24/04/2020 En ligne : https://doi.org/10.1080/13658816.2020.1755040 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96746
in International journal of geographical information science IJGIS > vol 35 n° 2 (February 2021) . - pp 227 - 249[article]Extracting knowledge from legacy maps to delineate eco-geographical regions / Lin Yang in International journal of geographical information science IJGIS, vol 35 n° 2 (February 2021)
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Titre : Extracting knowledge from legacy maps to delineate eco-geographical regions Type de document : Article/Communication Auteurs : Lin Yang, Auteur ; Xinming Li, Auteur ; Qinye Yang, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 250 - 272 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes descripteurs IGN] carte ancienne
[Termes descripteurs IGN] carte climatique
[Termes descripteurs IGN] cartographie écologique
[Termes descripteurs IGN] Chine
[Termes descripteurs IGN] délimitation
[Termes descripteurs IGN] données cartographiques
[Termes descripteurs IGN] écorégion
[Termes descripteurs IGN] extraction de données
[Termes descripteurs IGN] logique floue
[Termes descripteurs IGN] sous ensemble flou
[Termes descripteurs IGN] zone tamponRésumé : (auteur) Legacy ecoregion maps contain knowledge on relationships between eco-region units and their environmental factors. This study proposes a method to extract knowledge from legacy area-class maps to formulate a set of fuzzy membership functions useful for regionalization. We develop a buffer zone approach to reduce the uncertainty of boundaries between eco-region units on area-class maps. We generate buffer zones with a Euclidean distance perpendicular to the boundaries, then the original eco-region units without buffer zones serve as the basic units to generate the probability density functions (PDF) of environmental variables. Then, we transform the PDFs to fuzzy membership functions for class-zones on the map. We demonstrate the proposed method with a climatic zone map of China. The results showed that the buffer zone approach effectively reduced the uncertainties of boundaries. A buffer distance of 10–15 km was recommended in this study. The climatic zone map generated based on the extracted fuzzy membership functions showed a higher spatial stratification heterogeneity (compared to the original map). Based on the fuzzy membership functions with climate data of 1961–2015, we also prepared an updated climatic zone map. This study demonstrates the prospects of using fuzzy membership functions to delineate area classes for regionalization purpose. Numéro de notice : A2021-025 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2020.1806284 date de publication en ligne : 17/09/2020 En ligne : https://doi.org/10.1080/13658816.2020.1806284 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96692
in International journal of geographical information science IJGIS > vol 35 n° 2 (February 2021) . - pp 250 - 272[article]Geomorphology and (palaeo-)hydrography of the Southern Atbai plain and western Eritrean Highlands (Eastern Sudan/Western Eritrea) / Stefano Costanzo in Journal of maps, Vol 17 n° 2 (February 2021)
PermalinkAutomated labeling of schematic maps by optimization with knowledge acquired from existing maps / Tian Lan in Transactions in GIS, Vol 24 n° 6 (December 2020)
PermalinkGeomorphological analysis of the San Domino Island (Tremiti Islands, Southern Adriatic Sea). Results from the 2019 Geomorphological Field Camp of the MSc in Geological Science and Technology (University of Chieti-Pescara) / Marcello Buccolini in Journal of maps, vol 16 n° 3 ([01/12/2020])
PermalinkPermalinkGEBCO Gridded Bathymetric Datasets for mapping Japan Trench geomorphology by means of GMT scripting toolset / Polina Lemenkova in Geodesy and cartography, vol 46 n° 3 (October 2020)
PermalinkFine-scale dasymetric population mapping with mobile phone and building use data based on grid Voronoi method / Zhenzhong Peng in ISPRS International journal of geo-information, vol 9 n° 6 (June 2020)
PermalinkHydrogeology of the western Po plain (Piedmont, NW Italy) / Domenico Antonio De Luca in Journal of maps, vol 16 n° 2 ([01/06/2020])
PermalinkApplying the environmental sensitivity index for the assessment of the prospective oil spills along the Nile Delta Coast, Egypt / Rasha M. Abou Samra in Geocarto international, vol 35 n° 6 ([01/05/2020])
PermalinkEvaluating the impact of visualization of risk upon emergency route-planning / Lisa Cheong in International journal of geographical information science IJGIS, vol 34 n° 5 (May 2020)
PermalinkTypology of meteorological weather forecast maps printed in world newspapers / Jaromir Kolejka in Cartographic journal (the), Vol 57 n° 1 (February 2020)
PermalinkCartographic delimitation of the city centre using mental sketches / Kamil Nieścioruk in Cartographic journal (the), Vol 56 n° 4 (November 2019)
PermalinkThe impact of map type on the level of student map skills / Lenka Havelková in Cartographica, vol 53 n° 3 (Fall 2018)
PermalinkImproving the quality of cartographic colour reproduction using the self-organizing map method / Mingguang Wu in Cartographic journal (the), Vol 55 n° 3 (August 2018)
PermalinkA method of downscaling temperature maps based on analytical hillshading for use in species distribution modelling / Ángel M. Felicísimo in Cartography and Geographic Information Science, Vol 45 n° 4 (July 2018)
PermalinkEvaluation of web maps for the communication of flood risks to the public in Europe / Maaike Van Kerkvoorde in International journal of cartography, vol 4 n° 1 (March 2018)
PermalinkContribution à la cartographie d’une matrice de flux / Françoise Bahoken in Mappemonde [en ligne], n° 123 (février 2018)
PermalinkValidity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena / Guiming Zhang in Transactions in GIS, vol 22 n° 1 (February 2018)
PermalinkProjet PEPS MATRICIEL, lieux des migrants à travers des récits de vie : mots, perceptions, émotions, cartes / Catherine Dominguès (2018)
PermalinkA temperature and vegetation adjusted NTL urban index for urban area mapping and analysis / Xiya Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 135 (January 2018)
PermalinkPermalinkAn automated displaced proportional circle map using Delaunay triangulation and an algorithm for node overlap removal / David Lamb in Cartographica, vol 52 n° 4 (Winter 2017)
PermalinkCartographie de la vulnérabilité des bâtiments au risque sismique / Valerio Baiocchi in Géomatique expert, n° 119 (novembre - décembre 2017)
PermalinkCartographies of fuzziness : mapping places and emotions / Alenka Poplin in Cartographic journal (the), Vol 54 n° 4 (November 2017)
PermalinkChangement climatique et risque inondation / William Halbecq in Géomatique expert, n° 119 (novembre - décembre 2017)
PermalinkVol 44 n° 6 - November 2017 - Special content sections: Crowdsourced mapping - continued (Bulletin de Cartography and Geographic Information Science)
PermalinkInvestigation of automatic feature weighting methods (Fisher, Chi-square and Relief-F) for landslide susceptibility mapping / Emrehan Kutlug Sahin in Geocarto international, vol 32 n° 9 (September 2017)
PermalinkMapping theories of transformative learning / Daniel Casebeer in Cartographica, vol 52 n° 3 (Fall 2017)
PermalinkPoint grid map : a new type of thematic map for statistical data associated with geographic points / Mengjie Zhou in Cartography and Geographic Information Science, Vol 44 n° 5 (September 2017)
PermalinkVol 44 n° 5 - September 2017 - Special content sections: pointed innovations; bicycle mapping (Bulletin de Cartography and Geographic Information Science)
PermalinkStory Maps & Co. Un état de l’art de la cartographie des récits sur Internet / Sébastien Caquard in Mappemonde [en ligne], n° 121 (juillet 2017)
PermalinkCode Grey : mapping healthcare service deserts in Hamilton, Ontario and the impact on senior populations / Kristin M. Dosen in Cartographica, vol 52 n° 2 (Summer 2017)
PermalinkMultivariate label-based thematic maps / Richard Brath in International journal of cartography, vol 3 n° 1 (June 2017)
PermalinkPermalinkDonnées institutionnelles et données contributives sur la biodiversité, quelle légitimité ? / Xavier Amelot in Mappemonde [en ligne], n° 120 (Avril 2017)
PermalinkInferring spatial scale change in an isopleth map / J. Lin in Cartographic journal (the), Vol 54 n° 1 (February 2017)
PermalinkPermalinkCitizen empowered mapping, ch. 2. Cartographic representation of soundscape: proposals and assessment / Saul Gomez (2017)
PermalinkPermalinkn° 2 - octobre 2016 - Atlas régional de l'occupation des sols en France (Bulletin de Datalab) / Service de l'observation et des statistiques
PermalinkD'une cartographie de flux à une cartographie du mouvement : aspects sémiologiques / Françoise Bahoken in Cartes & Géomatique, n° 229-230 (septembre 2016 - février 2017)
PermalinkPermalinkMédier les récits de vie. Expérimentations de cartographies narratives et sensibles / Sarah Mekdjian in Mappemonde [en ligne], n° 118 (septembre 2016)
PermalinkPenser et activer les relations entre cartes et récits / Sébastien Caquard in Mappemonde [en ligne], n° 118 (septembre 2016)
PermalinkUnifying prospects : tinting geological maps in nineteenth-century Britain / Allison Ksiazkiewicz in Cartographica, vol 51 n° 3 (Fall 2016)
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