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Estimating the count of completeness errors in geographic data sets by means of a generalized Waring regression model / Francisco Javier Ariza-López in International journal of geographical information science IJGIS, vol 29 n° 8 (August 2015)
[article]
Titre : Estimating the count of completeness errors in geographic data sets by means of a generalized Waring regression model Type de document : Article/Communication Auteurs : Francisco Javier Ariza-López, Auteur ; José Avila-Rodriguez, Auteur Année de publication : 2015 Article en page(s) : pp 1394 - 1418 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique
[Termes IGN] Andalousie
[Termes IGN] cartographie topographique
[Termes IGN] erreur absolue
[Termes IGN] modèle de régressionRésumé : (Auteur) In this article, we propose a statistical model for estimating the probable number of completeness errors (omissions plus commissions) in a cell (a map tile or cluster) of a data set to guide updating or improvement efforts. The number of completeness errors is a count data variable related to some exogenous covariates that may also be known for each cell (e.g. count of features, rural or urban typology, etc.) and to other unknown variation sources. We propose and adjust a generalized Waring regression model for counting these errors in cells of 1 × 1 km2 on the Topographic Map of Andalusia (Spain). This model is compared with the Poisson regression model and the negative binomial regression model and performs better. The empirical relationship established by the model indicates that the number of completeness errors is related to the following exogenous covariates: the number of cartographic features of the data set, the fact that the cell covers a littoral or urban zone and the spatial division of the contracted suppliers. For cells having less than 5 errors, most of the variability corresponds to unknown external factors (liability), but when the number of errors rises, the greater part of the variability is due to unknown internal characteristics of each cell (proneness). With these estimations, the producer can derivate statistical summaries and spatial representations and develop better planning of production activities such as actualization. Numéro de notice : A2015-605 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1010536 En ligne : https://doi.org/10.1080/13658816.2015.1010536 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78029
in International journal of geographical information science IJGIS > vol 29 n° 8 (August 2015) . - pp 1394 - 1418[article]Development of an improved empirical model for slant delays in the troposphere (GPT2w) / Johannes Böhm in GPS solutions, vol 19 n° 3 (July 2015)
[article]
Titre : Development of an improved empirical model for slant delays in the troposphere (GPT2w) Type de document : Article/Communication Auteurs : Johannes Böhm , Auteur ; Gregor Möller, Auteur ; Michael Schindelegger, Auteur ; Grégory Pain, Auteur ; Robert Weber, Auteur Année de publication : 2015 Article en page(s) : pp 433 - 441 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] coordonnées GNSS
[Termes IGN] erreur systématique
[Termes IGN] modèle empirique
[Termes IGN] retard troposphérique
[Termes IGN] station permanente
[Termes IGN] teneur en vapeur d'eauRésumé : (Auteur) Global pressure and temperature 2 wet (GPT2w) is an empirical troposphere delay model providing the mean values plus annual and semiannual amplitudes of pressure, temperature and its lapse rate, water vapor pressure and its decrease factor, weighted mean temperature, as well as hydrostatic and wet mapping function coefficients of the Vienna mapping function 1. All climatological parameters have been derived consistently from monthly mean pressure level data of ERA-Interim fields (European Centre for Medium-Range Weather Forecasts Re-Analysis) with a horizontal resolution of 1°, and the model is suitable to calculate slant hydrostatic and wet delays down to 3° elevation at sites in the vicinity of the earth surface using the date and approximate station coordinates as input. The wet delay estimation builds upon gridded values of the water vapor pressure, the weighted mean temperature, and the water vapor decrease factor, with the latter being tuned to ray-traced zenith wet delays. Comparisons with zenith delays at 341 globally distributed global navigation satellite systems stations show that the mean bias over all stations is below 1 mm and the mean standard deviation is about 3.6 cm. The GPT2w model with the gridded input file is provided at. Numéro de notice : A2015--112 Affiliation des auteurs : ENSG+Ext (2012-2019) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10291-014-0403-7 Date de publication en ligne : 26/08/2014 En ligne : https://doi.org/10.1007/s10291-014-0403-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90646
in GPS solutions > vol 19 n° 3 (July 2015) . - pp 433 - 441[article]Documents numériques
en open access
Development of an improved ... - pdf éditeurAdobe Acrobat PDF The mixed-receiver BeiDou inter-satellite-type bias and its impact on RTK positioning / Nandakumaran Nadarajah in GPS solutions, vol 19 n° 3 (July 2015)
[article]
Titre : The mixed-receiver BeiDou inter-satellite-type bias and its impact on RTK positioning Type de document : Article/Communication Auteurs : Nandakumaran Nadarajah, Auteur ; Peter J.G. Teunissen, Auteur ; Jean-Marie Sleewaegen, Auteur ; Oliver Montenbruck, Auteur Année de publication : 2015 Article en page(s) : pp 357 - 368 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] erreur systématique
[Termes IGN] positionnement cinématique en temps réel
[Termes IGN] récepteur mixte
[Termes IGN] récepteur monofréquence
[Termes IGN] résolution d'ambiguïté
[Termes IGN] signal BeiDouRésumé : (Auteur) The inter-satellite-type bias (ISTB) is a receiver-dependent hardware delay/bias between different satellite types. Our recent research revealed the existence of nonzero mixed-receiver phase ISTBs for the Chinese BeiDou system. Triggered by this finding, global navigation satellite system receiver manufactures, who are in the early stage of BeiDou-enabled receiver developments, are working toward a mutually consistent measurement extraction procedure. We analyze the long-term stability and current status of the mixed-receiver ISTBs, as well as study their impact on BeiDou stand-alone real-time kinematic (RTK) positioning. Our results confirm that a recent update in one of the receiver types has aligned it with one of the other receiver types. However, since not all receiver types are aligned yet, nonzero mixed-receiver ISTBs are shown to be still present. Analyses of BeiDou stand-alone RTK positioning using mixed-receiver types demonstrate that ISTBs could seriously affect the integer ambiguity resolution performance and that a priori correction for these biases will dramatically improve the success rate. Our analyses using real data from three different receiver types also demonstrate the long-term stability of the ISTBs, thus showing that such a priori calibration is indeed possible. Numéro de notice : A2015-460 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1007/s10291-014-0392-6 Date de publication en ligne : 28/06/2014 En ligne : https://doi.org/10.1007/s10291-014-0392-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77130
in GPS solutions > vol 19 n° 3 (July 2015) . - pp 357 - 368[article]
Titre : Confounds and Consequences in Geotagged Twitter Data Type de document : Article/Communication Auteurs : Umashanthi Pavalanathan, Auteur ; Jacob Eisenstein, Auteur Editeur : Ithaca [New York - Etats-Unis] : ArXiv - Université Cornell Année de publication : 7/06/2015 Importance : 10 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] erreur systématique
[Termes IGN] géobalise
[Termes IGN] traitement du langage naturelRésumé : (auteur) Twitter is often used in quantitative studies that identify geographically-preferred topics, writing styles, and entities. These studies rely on either GPS coordinates attached to individual messages, or on the user-supplied location field in each profile. In this paper, we compare these data acquisition techniques and quantify the biases that they introduce; we also measure their effects on linguistic analysis and text-based geolocation. GPS-tagging and self-reported locations yield measurably different corpora, and these linguistic differences are partially attributable to differences in dataset composition by age and gender. Using a latent variable model to induce age and gender, we show how these demographic variables interact with geography to affect language use. We also show that the accuracy of text-based geolocation varies with population demographics, giving the best results for men above the age of 40. Numéro de notice : P2015-001 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Preprint nature-HAL : Préprint DOI : 10.48550/arXiv.1506.02275 En ligne : https://doi.org/10.48550/arXiv.1506.02275 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79901 Documents numériques
en open access
Confounds and Consequences in Geotagged Twitter DataAdobe Acrobat PDF Extension of the linear chromodynamics model for spectral change detection in the presence of residual spatial misregistration / Karmon Vongsy in IEEE Transactions on geoscience and remote sensing, vol 53 n° 6 (June 2015)
[article]
Titre : Extension of the linear chromodynamics model for spectral change detection in the presence of residual spatial misregistration Type de document : Article/Communication Auteurs : Karmon Vongsy, Auteur ; Michael T. Eismann, Auteur ; Michael J. Mendenhall, Auteur Année de publication : 2015 Article en page(s) : pp 3005 - 3021 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] approximation
[Termes IGN] détection de changement
[Termes IGN] distribution de Gauss
[Termes IGN] image hyperspectrale
[Termes IGN] modèle linéaire
[Termes IGN] résiduRésumé : (Auteur) A generalized likelihood ratio test (GLRT) statistic for spectral change detection based on the linear chromodynamics model is extended to accommodate unknown residual misregistration between imagery described by a prior probability density function for the spatial misregistration. Using a normal prior distribution leads to a fourth-order polynomial that can be numerically minimized over the unknown misregistration parameters. A more computationally efficient closed-form solution is developed based on a quadratic approximation and provides comparable results to the numerical minimization for the investigated test cases while running 30 times faster. The results applying the method to hyperspectral imagery indicate up to an order of magnitude reduction in false alarms at the same detection rate relative to baseline change detection methods for synthetically misregistered test data particularly in image regions containing edges and fine spatial features. Sensitivity to model parameters is assessed, and the method is compared with a previously published misregistration compensation approach yielding comparable results. Although the GLRT approach appears to exhibit comparable change detection performance, it offers the possibility of tailoring the algorithm to a priori knowledge of expected misregistration errors or to compensate structured misregistration as would occur due to parallax errors due to perspective variations (e.g., image parallax). Numéro de notice : A2015-281 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2367471 Date de publication en ligne : 18/12/2014 En ligne : https://doi.org/10.1109/TGRS.2014.2367471 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76398
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 6 (June 2015) . - pp 3005 - 3021[article]Réservation
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