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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)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 35 n° 2 (February 2021) . - pp 250 - 272 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 tampon Résumé : (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 [article]

Acquisition of weak GPS signals using wavelet-based de-noising methods / Mohaddeseh Sharie in Survey review, vol 52 n° 375 (November 2020)  

Public [article]  inSurvey review > vol 52 n° 375 (November 2020) . - pp 497 - 513 Titre : Acquisition of weak GPS signals using wavelet-based de-noising methods Type de document : Article/Communication Auteurs : Mohaddeseh Sharie, Auteur ; Mohammad-Reza Mosavi, Auteur ; Narjes Rahemi, Auteur Année de publication : 2020 Article en page(s) : pp 497 - 513 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal [Termes descripteurs IGN] atténuation du signal [Termes descripteurs IGN] filtrage du bruit [Termes descripteurs IGN] rapport signal sur bruit [Termes descripteurs IGN] récepteur GPS [Termes descripteurs IGN] seuillage [Termes descripteurs IGN] signal GPS [Termes descripteurs IGN] sous ensemble flou [Termes descripteurs IGN] transformation en ondelettes Résumé : (auteur) Various factors cause GPS signals to be weakened in their path from satellites to receiver. This phenomenon leads to some problems in the normal stages of the positioning process, including acquisition stage. The wavelet transform is one of the tools that have been employed in several methods to improve receiver’s sensitivity in confronting weak GPS signals. Choosing an appropriate threshold plays a key role in the performance of this de-noising method. This study presents two methods for selecting an appropriate threshold. In the first method, the threshold is determined based on the statistical information extracted from the signal. On the other hand, the threshold in the second method is determined by type II fuzzy sets. The results show that employment of these two methods increases SNR gain as well as the range of acquirable SNR which makes signals acquisition with minimum post-correlation SNR of −6.5dB in a GPS receiver possible. Numéro de notice : A2020-687 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2019.1648718 date de publication en ligne : 01/08/2020 En ligne : https://doi.org/10.1080/00396265.2019.1648718 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96220 [article]

Fuzzy modelling of growth potential in forest development simulation / Damjan Strnad in Ecological Informatics, vol 48 (November 2018)  

Public [article]  inEcological Informatics > vol 48 (November 2018) . - pp 80 - 88 Titre : Fuzzy modelling of growth potential in forest development simulation Type de document : Article/Communication Auteurs : Damjan Strnad, Auteur ; Štefan Kohek, Auteur ; Simon Kolmanič, Auteur Année de publication : 2018 Article en page(s) : pp 80 - 88 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes descripteurs IGN] analyse de sensibilité [Termes descripteurs IGN] biodiversité [Termes descripteurs IGN] composition floristique [Termes descripteurs IGN] croissance végétale [Termes descripteurs IGN] écosystème forestier [Termes descripteurs IGN] modèle de croissance [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] Slovénie [Termes descripteurs IGN] sous ensemble flou [Termes descripteurs IGN] surveillance écologique Résumé : (Auteur) In the paper, we introduce a new fuzzy-based model for calculation of plant growth potential in the context of forest development simulation, which is an important tool for prediction and monitoring of forest biodiversity. When modelling a forest ecosystem, one needs to account for a significant amount of ambiguity in the specification of plant requirements and environmental conditions, whose overlap determines the competitive potential of co-occurring species. The proposed fuzzy model addresses the imprecision and uncertainty about proper interpretation of numerically estimated growth conditions with respect to linguistically specified plant requirements. Individual requirement levels are represented as fuzzy sets to which estimated growth conditions are mapped, while plant needs are modelled as fuzzy numbers with adjustable tolerance radii. The growth potential with respect to a particular resource is then calculated as a membership of condition mean in a fuzzy set of plant demand. We validate the model operation within the ForestMAS simulator on real data obtained from six decades of observations registered at a forest fire recovery site in northern Slovenia. We show that the enhanced expressiveness about the tolerance of tree species to deviations of growth conditions allows the fuzzy model to improve the accuracy of forest composition prediction with respect to the crisp model. Sensitivity analysis also shows that, in many cases, the fuzzy model increases simulation robustness with respect to vaguely defined plant needs and estimated site conditions. Numéro de notice : A2019-229 Affiliation des auteurs : non IGN Thématique : FORET/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.ecoinf.2018.08.002 date de publication en ligne : 11/08/2018 En ligne : https://doi.org/10.1016/j.ecoinf.2018.08.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92744 [article]

µ-shapes: Delineating urban neighborhoods using volunteered geographic information / Matt Aadland in Journal of Spatial Information Science (JoSIS), n° 12 (March 2016)  

Public [article]  inJournal of Spatial Information Science (JoSIS) > n° 12 (March 2016) . - pp 29 - 43 Titre : µ-shapes: Delineating urban neighborhoods using volunteered geographic information Type de document : Article/Communication Auteurs : Matt Aadland, Auteur ; Christopher Farah, Auteur ; Kevin Magee, Auteur Année de publication : 2016 Article en page(s) : pp 29 - 43 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] analyse de variance [Termes descripteurs IGN] centroïde [Termes descripteurs IGN] délimitation [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] matrice de confusion [Termes descripteurs IGN] répertoire toponymique [Termes descripteurs IGN] sous ensemble flou [Termes descripteurs IGN] traitement de données localisées [Termes descripteurs IGN] voisinage (topologie) [Termes descripteurs IGN] zone urbaine Résumé : (auteur) Urban neighborhoods are a unique form of geography in that their boundaries rely on a social definition rather than a well-defined physical or administrative boundary. Currently, geographic gazetteers capture little more than then the centroid of a neighborhood, limiting potential applications of the data. In this paper, we present µ-shapes, an algorithm that employs fuzzy-set theory to model neighborhood boundaries suitable for populating gazetteers using volunteered geographic information (VGI). The algorithm is evaluated using a reference dataset and VGI from the Map Kibera Project. A confusion matrix comparison between the reference dataset and µ-shape's output demonstrated high sensitivity and accuracy. Analysis of variance indicated that the algorithm was able to distinguish between boundary and interior blocks. This suggests that, given the existing state of GIS technology, the µ-shapes algorithm can enable neighborhood-related queries that incorporate spatial uncertainty, e.g., find all restaurants within the core of a neighborhood. Numéro de notice : A2016-954 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.5311/JOSIS.2016.12.240 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83466 [article]

Reconstruct street network from imprecise excavation data using fuzzy Hough transforms / Cyril de Runz in Geoinformatica, vol 18 n° 2 (April 2014)  

Public [article]  inGeoinformatica > vol 18 n° 2 (April 2014) . - pp 253 - 268 Titre : Reconstruct street network from imprecise excavation data using fuzzy Hough transforms Type de document : Article/Communication Auteurs : Cyril de Runz, Auteur ; Eric Desjardin, Auteur ; Frédéric Piantoni, Auteur ; Michel Herbin, Auteur Année de publication : 2014 Article en page(s) : pp 253 - 268 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] archéologie [Termes descripteurs IGN] base de données localisées [Termes descripteurs IGN] datation [Termes descripteurs IGN] extraction de traits caractéristiques [Termes descripteurs IGN] forme caractéristique [Termes descripteurs IGN] fouille archéologique [Termes descripteurs IGN] France (administrative) [Termes descripteurs IGN] géopositionnement [Termes descripteurs IGN] période gallo romaine [Termes descripteurs IGN] REIMS [Termes descripteurs IGN] sous ensemble flou [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] transformation de Hough [Termes descripteurs IGN] voie romaine Résumé : (Auteur) This paper proposes an approach for handling multivariate data in an archaeological Geographical Information System (GIS), providing a new tool to archaeologists and historians. Our method extracts potential objects of known shapes in a geographical database (GDB) devoted to archaeological excavations. In this work, archaeological information is organized according to three components: location, date and a shape parameter, in a context where data are imprecise and lacunar. To manage these aspects, a three-step methodology was developed using fuzzy sets modeling and adapting the fuzzy Hough transform. This methodology is applied in order to define the appropriate tool for a GDB of Roman street remains in Reims, France. The defined queries return an estimation of the possible presence of streets during a fuzzy time interval given by experts on the Roman period in Reims. Numéro de notice : A2014-226 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0183-1 date de publication en ligne : 19/05/2013 En ligne : https://doi.org/10.1007/s10707-013-0183-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33129 [article]

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