Descripteur
Documents disponibles dans cette catégorie (1229)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
De l'importance du géomaticien pour la qualité des données géographiques / Nathalie Dejour in Géomatique expert, n° 112 (septembre - octobre 2016)
[article]
Titre : De l'importance du géomaticien pour la qualité des données géographiques Type de document : Article/Communication Auteurs : Nathalie Dejour, Auteur Année de publication : 2016 Article en page(s) : pp 10 - 11 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] compétence
[Termes IGN] données localisées
[Termes IGN] expertise
[Termes IGN] géomaticien
[Termes IGN] manipulation de données
[Termes IGN] métier
[Termes IGN] qualité des donnéesRésumé : (auteur) [introduction] Dès lors que les SIG sont entrés dans le quotidien des organisations en prise avec le territoire, qu'elles soient publiques (services de l’État, collectivités) ou privées (grandes entreprises internationales, gestionnaires de réseaux, bureaux d’études, etc) la question s'est posée des compétences à mobiliser pour les faire vivre et du positionnement des ressources humaines associé dans l'organigramme de la structure : aménagement ? services techniques ? service informatique et plus récemment, DSI ? administration générale ? Numéro de notice : A2016-759 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82356
in Géomatique expert > n° 112 (septembre - octobre 2016) . - pp 10 - 11[article]Réservation
Réserver ce documentExemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 265-2016051 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P001888 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections? / Paul Holloway in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)
[article]
Titre : Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections? Type de document : Article/Communication Auteurs : Paul Holloway, Auteur ; Jennifer A. Miller, Auteur ; Simon Gillings, Auteur Année de publication : 2016 Article en page(s) : pp 2050 - 2074 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] Aves
[Termes IGN] changement climatique
[Termes IGN] distribution spatiale
[Termes IGN] Grande-Bretagne
[Termes IGN] habitat d'espèce
[Termes IGN] incertitude des données
[Termes IGN] modèle de dispersion
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Species distribution models (SDMs) are one of the most important GIScience research areas in biogeography and are the primary means by which the potential effects of climate change on species’ distributions and ranges are investigated. Dispersal is an important ecological process for species responding to changing climates, however, SDMs and their subsequent spatial products rarely reflect accessibility to any future suitable environment. Dispersal-related movement can be confounded by factors that vary across landscapes and climates, as well as within and among species, and it has therefore remained difficult to parametrise in SDMs. Here we compared 20 models that have previously been used (or have the potential to be used) to represent dispersal processes in SDM to predict future range shifts in response to climate change. We assessed the different dispersal models in terms of their accuracy at predicting future distributions, as well as the uncertainty associated with their predictions. Atlas data for 50 bird species from 1988 to 1991 in Great Britain were treated as base distributions (t1), with the species–environment relationships extrapolated (using three commonly used statistical methods) to 2008–2011 (t2). Dispersal (in the form of the 20 different models) was simulated from the base distribution (t1) to 2008–2011 (t2). The results were then combined and used to identify locations that were both abiotically suitable (obtained from the statistical methods) and accessible (obtained from the dispersal models). The accuracy of these coupled projections was assessed with the 2008–2011 atlas data (the observed t2 distribution). There was substantial variation in the accuracy of the different dispersal models, and in general, the more restrictive dispersal models (e.g. fixed rate dispersal) resulted in lower accuracy for the metrics which reward correct prediction of presences. Ensemble models of the dispersal methods (generated by combining multiple projection outcomes) were created for each species, and a new Ensemble Agreement Index (EAI), which ranges from 0 (no agreement among models) to 1 (full agreement among models) was developed to quantify uncertainty among the projections. EAI values ranged from 0.634 (some areas of disagreement and therefore medium uncertainty among dispersal models) to 0.999 (large areas of agreement and low uncertainty among dispersal models). The results of this research highlight the importance of incorporating dispersal and also illustrate that the method with which dispersal is simulated greatly impacts the projected future distribution. This has important implications for studies aimed at predicting the effects of changing environmental conditions on species’ distributions. Numéro de notice : A2016-575 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1158823 En ligne : http://dx.doi.org/10.1080/13658816.2016.1158823 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81732
in International journal of geographical information science IJGIS > vol 30 n° 9-10 (September - October 2016) . - pp 2050 - 2074[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 079-2016051 RAB Revue Centre de documentation En réserve L003 Disponible A measure of average error variance of line features / Eryong Liu in Cartography and Geographic Information Science, Vol 43 n° 4 (September 2016)
[article]
Titre : A measure of average error variance of line features Type de document : Article/Communication Auteurs : Eryong Liu, Auteur ; Wenzhong Shi, Auteur Année de publication : 2016 Article en page(s) : pp 321 - 327 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] erreur de positionnement
[Termes IGN] erreur moyenne
[Termes IGN] interpolation linéaire
[Termes IGN] ligne caractéristique
[Termes IGN] matrice d'erreur
[Termes IGN] matrice de covariance
[Termes IGN] objet géographique linéaire
[Termes IGN] propagation d'erreur
[Termes IGN] qualité des donnéesRésumé : (Auteur) This article presents a new development in measuring the positional error of line features in Geographic Information Systems (GIS), in the form of a new measure for estimating the average error variance of line features, including line segment, polyline, polygon, and curved lines. This average error measure is represented in the form of a covariance matrix derived by an analytical approach. Corresponding error indicators are derived from this matrix. The error of line features mainly results from two factors: (1) an error propagated from the original component points of line features and (2) a model error of interpolation between these points. In this study, a method of average error estimation has been derived regarding the first type error of line features that are interpolated by either linear or cubic interpolation methods. The main contribution of the research is the provision of an error measure to assess the quality of spatial data in application settings. The proposed error models for estimating average error variance of line features in a GIS are illustrated by both simulated and practical experiments. The results show that the line accuracy from a linear interpolation is better than a line interpolated using a cubic model. Numéro de notice : A2016-417 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1077738 En ligne : https://doi.org/10.1080/15230406.2015.1077738 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81312
in Cartography and Geographic Information Science > Vol 43 n° 4 (September 2016) . - pp 321 - 327[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2016041 RAB Revue Centre de documentation En réserve L003 Disponible Novel tool for examination of data completeness based on a comparative study of VGI data and official building datasets / Joanna Nowak Da Costa in Geodetski vestnik, vol 60 n° 3 (September - November 2016)
[article]
Titre : Novel tool for examination of data completeness based on a comparative study of VGI data and official building datasets Type de document : Article/Communication Auteurs : Joanna Nowak Da Costa, Auteur Année de publication : 2016 Article en page(s) : pp 495 - 508 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] analyse comparative
[Termes IGN] bati
[Termes IGN] données localisées de référence
[Termes IGN] données localisées des bénévoles
[Termes IGN] exhaustivité des données
[Termes IGN] jeu de données localisées
[Termes IGN] OpenStreetMap
[Termes IGN] qualité des donnéesRésumé : (Auteur) The goal of this study was a better understanding of the quality of Volunteered Geographic Information (VGI), and by extension its utility. The research focused on the applicability of OpenStreetMap (OSM) building data for official spatial databases. In terms of feature completeness, the achieved results are in-line with other similar studies. The study concluded that in town centres the completeness of OSM data is relatively high but decreases further away from urban centres. It demonstrated that attribute completeness also relies on the level of urbanization as well as the nature of attribute. Furthermore, a very high overall positional accuracy was determined for OSM building data that ranged between 0.6 m in urban areas and 1.7 m in rural areas. This result is more than five times better than the frequently cited OSM accuracy results obtained by Haklay in 2010. In this work, a novel tool is introduced to help assess the completeness of OSM building-tagged features. The proposed index, called the matching feature area-based completeness, estimates the completeness of any areal feature set. This index is also flexible because it is neither affected by discrepancies in the feature outline modelling nor by the degree of abstraction. In addition, the author proposed a simple method to update the official register using the large volume of OSM building data “over-completeness” together with the building data excess indicator. Numéro de notice : A2016-749 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.15292/geodetski-vestnik.2016.03.495-508 En ligne : https://dx.doi.org/10.15292/geodetski-vestnik.2016.03.495-508 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82295
in Geodetski vestnik > vol 60 n° 3 (September - November 2016) . - pp 495 - 508[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 139-2016031 RAB Revue Centre de documentation En réserve L003 Disponible Propagating uncertainty through individual tree volume model predictions to large-area volume estimates / Ronald E. McRoberts in Annals of Forest Science, vol 73 n° 3 (September 2016)
[article]
Titre : Propagating uncertainty through individual tree volume model predictions to large-area volume estimates Type de document : Article/Communication Auteurs : Ronald E. McRoberts, Auteur ; James A. Westfall, Auteur Année de publication : 2016 Article en page(s) : pp 625 – 633 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] diamètre des arbres
[Termes IGN] hauteur des arbres
[Termes IGN] incertitude des données
[Termes IGN] modèle de simulation
[Termes IGN] prédiction
[Termes IGN] propagation d'erreur
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Key message : The effects on large-area volume estimates of uncertainty in individual tree volume model predictions were negligible when using simple random sampling estimators for large-area estimation, but non-negligible when using stratified estimators which reduced the effects of sampling variability.
Context : Forest inventory estimates of tree volume for large areas are typically calculated by adding model predictions of volumes for individual trees at the plot level and calculating the per unit area mean over plots. The uncertainty in the model predictions is generally ignored with the result that the precision of the large-area volume estimate is optimistic.
Aims : The primary objective was to estimate the effects on large-area volume estimates of volume model prediction uncertainty due to diameter and height measurement error, parameter uncertainty, and model residual variance.
Methods : Monte Carlo simulation approaches were used because of the complexities associated with multiple sources of uncertainty, the non-linear nature of the models, and heteroskedasticity.
Results : The effects of model prediction uncertainty on large-area volume estimates of growing stock volume were negligible when using simple random sampling estimators. However, with stratified estimators that reduce the effects of sampling variability, the effects of model prediction uncertainty were not necessarily negligible. The adverse effects of parameter uncertainty and residual variance were greater than the effects of diameter and height measurement errors.
Conclusion : The uncertainty of large-area volume estimates that do not account for model prediction uncertainty should be regarded with caution.Numéro de notice : A2016-711 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0473-x Date de publication en ligne : 22/04/2015 En ligne : https://doi.org/10.1007/s13595-015-0473-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82089
in Annals of Forest Science > vol 73 n° 3 (September 2016) . - pp 625 – 633[article]Qualité de la donnée : objectif permanent, contexte évoluant / Mathieu Le Moal in Géomatique expert, n° 112 (septembre - octobre 2016)PermalinkSpatiotemporal subpixel mapping of time-series images / Qunming Wang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 9 (September 2016)PermalinkStem quality assessment in European National Forest Inventories: an opportunity for harmonised reporting? / Michal Bosela in Annals of Forest Science, vol 73 n° 3 (September 2016)PermalinkA two-level topological model for 3D features in CityGML / Lin Li in Computers, Environment and Urban Systems, vol 59 (September 2016)PermalinkAirborne lidar estimation of aboveground forest biomass in the absence of field inventory / António Ferraz in Remote sensing, vol 8 n° 8 (August 2016)PermalinkThe study of key issues about integration of GNSS and strong-motion records for real-time earthquake monitoring / Rui Tu in Advances in space research, vol 58 n° 3 (August 2016)PermalinkUnderground incrementally deployed magneto-inductive 3-D positioning network / Traian E. Abrudan in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)PermalinkEvaluating the impact of visualization of wildfire hazard upon decision-making under uncertainty / Lisa Cheong in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)PermalinkGeographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information / Alexis Comber in Geoinformatica, vol 20 n° 3 (July - September 2016)PermalinkGeometrical consistency voting strategy for outlier detection in image matching / Luping Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 7 (juillet 2016)Permalink