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Mapping the results of geographically weighted regression / J. Mennis in Cartographic journal (the), vol 43 n° 2 (July 2006)
[article]
Titre : Mapping the results of geographically weighted regression Type de document : Article/Communication Auteurs : J. Mennis, Auteur Année de publication : 2006 Article en page(s) : pp 171 - 179 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse bivariée
[Termes IGN] carte choroplèthe
[Termes IGN] densité de population
[Termes IGN] distribution spatiale
[Termes IGN] Pennsylvanie (Etats-Unis)
[Termes IGN] régression géographiquement pondéréeRésumé : (Auteur) Geographically weighted regression (GWR) is a local spatial statistical technique for exploring spatial nonstationarity. Previous approaches to mapping the results of GWR have primarily employed an equal step classification and sequential no-hue colour scheme for choropleth mapping of parameter estimates. This cartographic approach may hinder the exploration of spatial nonstationarity by inadequately illustrating the spatial distribution of the sign, magnitude, and significance of the influence of each explanatory variable on the dependent variable. Approaches for improving mapping of the results of GWR are illustrated using a case study analysis of population density-median home value relationships in Philadelphia, Pennsylvania, USA. These approaches employ data classification schemes informed by the (nonspatial) data distribution, diverging colour schemes, and bivariate choropleth mapping. Copyright British Cartographic Society Numéro de notice : A2006-611 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870406X114658 En ligne : https://doi.org/10.1179/000870406X114658 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28334
in Cartographic journal (the) > vol 43 n° 2 (July 2006) . - pp 171 - 179[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-06021 RAB Revue Centre de documentation En réserve L003 Disponible Utilizing Voronoi cells of location data streams for accurate computation of aggregate functions in sensor networks / M. Sharifzadeh in Geoinformatica, vol 10 n° 1 (March - May 2006)
[article]
Titre : Utilizing Voronoi cells of location data streams for accurate computation of aggregate functions in sensor networks Type de document : Article/Communication Auteurs : M. Sharifzadeh, Auteur ; C. Shahabi, Auteur Année de publication : 2006 Conférence : ACM GIS 2004, 12th ACM symposium on geographic information systems 12/11/2004 13/11/2004 Arlington Etats-Unis Selected papers Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] agrégation spatiale
[Termes IGN] analyse comparative
[Termes IGN] diagramme de Voronoï
[Termes IGN] données vectorielles
[Termes IGN] interpolation spatiale
[Termes IGN] requête spatiale
[Termes IGN] réseau de capteurs
[Termes IGN] Triangulated Irregular NetworkRésumé : (Auteur) Sensor networks are unattended deeply distributed systems whose database schema can be conceptualized using the relational model. Aggregation queries on the data sampled at each sensor node are the main means to extract the abstract characteristics of the surrounding environment. However, the non-uniform distribution of the sensor nodes in the environment leads to inaccurate results generated by the aggregation queries. In this paper, we introduce "spatial aggregations" that take into consideration the spatial location of each measurement generated by the sensor nodes. We propose the use of spatial interpolation methods derived from the fields of spatial statistics and computational geometry to answer spatial aggregations. In particular, we study Spatial Moving Average (SMA), Voronoi Diagram and Triangulated Irregular Network (TIN). Investigating these methods for answering spatial average queries, we show that the average value on the data samples weighted by the area of the Voronoi cell of the corresponding sensor node, provides the best precision. Consequently, we introduce an algorithm to compute and maintain the accurate Voronoi cell at each sensor node while the location of the others arrive on data stream. We also propose AVC-SW, a novel algorithm to approximate this Voronoi cell over a sliding window that supports dynamism in the sensor network. To demonstrate the performance of in-network implementation of our aggregation operators, we have developed prototypes of two different approaches to distributed spatial aggregate processing. Numéro de notice : A2006-096 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.1007/s10707-005-4884-y En ligne : https://doi.org/10.1007/s10707-005-4884-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27823
in Geoinformatica > vol 10 n° 1 (March - May 2006)[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-06011 RAB Revue Centre de documentation En réserve L003 Disponible Error-sensitive historical GIS: Identifying areal interpolation errors in time-series data / I.N. Gregory in International journal of geographical information science IJGIS, vol 20 n° 2 (february 2006)
[article]
Titre : Error-sensitive historical GIS: Identifying areal interpolation errors in time-series data Type de document : Article/Communication Auteurs : I.N. Gregory, Auteur ; P.S. Ell, Auteur Année de publication : 2006 Article en page(s) : pp 135 - 152 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] analyse diachronique
[Termes IGN] données statistiques
[Termes IGN] historique des données
[Termes IGN] interpolation spatiale
[Termes IGN] série temporelle
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Historical GIS has the potential to re-invigorate our use of statistics from historical censuses and related sources. In particular, areal interpolation can be used to create long-run time-series of spatially detailed data that will enable us to enhance significantly our understanding of geographical change over periods of a century or more. The difficulty with areal interpolation, however, is that the data that it generates are estimates which will inevitably contain some error. This paper describes a technique that allows the automated identification of possible errors at the level of the individual data values. Numéro de notice : A2006-064 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810500399589 En ligne : https://doi.org/10.1080/13658810500399589 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27791
in International journal of geographical information science IJGIS > vol 20 n° 2 (february 2006) . - pp 135 - 152[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-06021 RAB Revue Centre de documentation En réserve L003 Disponible 079-06022 RAB Revue Centre de documentation En réserve L003 Disponible On the use of dimensioned measures of error to evaluate the performance of spatial interpolators / C.J. Willmot in International journal of geographical information science IJGIS, vol 20 n° 1 (january 2006)
[article]
Titre : On the use of dimensioned measures of error to evaluate the performance of spatial interpolators Type de document : Article/Communication Auteurs : C.J. Willmot, Auteur ; K. Matsuura, Auteur Année de publication : 2006 Article en page(s) : pp 89 - 102 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] carte thématique
[Termes IGN] climatologie
[Termes IGN] erreur moyenne quadratique
[Termes IGN] interpolation spatiale
[Termes IGN] performance
[Termes IGN] température au solRésumé : (Auteur) Spatial cross-validation and average-error statistics are examined with respect to their abilities to evaluate alternate spatial interpolation methods. A simple cross-validation methodology is described, and the relative abilities of three dimensioned error statistics -the root-mean-square error (RMSE), the mean absolute error (MAE), and the mean bias error (MBE)- to describe average interpolator performance are examined. To illustrate our points, climatologically averaged weather-station temperatures were obtained from the Global Historical Climatology Network (GHCN), Version 2, and then alternately interpolated spatially (gridded) using two spatial-interpolation procedures. Substantial differences in the performance of our two spatial interpolators are evident in maps of the cross-validation error fields, in the average-error statistics, as well as in estimated land-surface-average air temperatures that differ by more than 2°C. The RMSE and its square, the mean-square error (MSE), are of particular interest, because they are the most widely reported average-error measures, and they tend to be misleading. It (RMSE) is an inappropriate measure of average error because it is a function of three characteristics of a set of errors, rather than of one (the average error). Our findings indicate that MAE and MBE are natural measures of average error and that (unlike RMSE) they are unambiguous. Numéro de notice : A2006-027 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810500286976 En ligne : https://doi.org/10.1080/13658810500286976 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27754
in International journal of geographical information science IJGIS > vol 20 n° 1 (january 2006) . - pp 89 - 102[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-06011 RAB Revue Centre de documentation En réserve L003 Disponible 079-06012 RAB Revue Centre de documentation En réserve L003 Disponible Statistical analysis of environmental space-time processes / N. Le (2006)
Titre : Statistical analysis of environmental space-time processes Type de document : Monographie Auteurs : N. Le, Auteur ; J. Zidek, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2006 Collection : Springer series in statistics, ISSN 0172-7397 Importance : 341 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-0-387-26209-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] analyse spatiale
[Termes IGN] classification bayesienne
[Termes IGN] covariance
[Termes IGN] distribution de Gauss
[Termes IGN] espace-temps
[Termes IGN] interpolation spatiale
[Termes IGN] krigeageRésumé : (Editeur) This book provides a broad introduction to the subject of environmental space-time processes, addressing the role of uncertainty. It covers a spectrum of technical matters from measurement to environmental epidemiology to risk assessment. It showcases non-stationary vector-valued processes, while treating stationarity as a special case. In particular, with members of their research group the authors developed within a hierarchical Bayesian framework, the new statistical approaches presented in the book for analyzing, modeling, and monitoring environmental spatio-temporal processes. Furthermore they indicate new directions for development. Note de contenu : ENVIRONMENTAL PROCESSES
1. First encounters
2. Case study
3. Uncertainty
4. Measurement
5. Modelling
SPACE-TIME MODELING
6. Covariances
7. Spatial prediction: Classical approaches
8. Bayesian kriging
9. Hierarchical bayesian kriging
DESIGN AND RISK ASSESSMENT
10. Multivariate modelling
11. Environmental network design
12. Extremes
IMPLEMENTATION
13. Risk assessment
14. R tutorialNuméro de notice : 20663 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63111 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 20663-01 23.60 Livre Centre de documentation Mathématiques Disponible A comparative analysis of areal interpolation methods / K. Hawley in Cartography and Geographic Information Science, vol 32 n° 4 (October 2005)PermalinkGWR, MAUP et lissage par potentiels / Laure Charleux in Revue internationale de géomatique, vol 15 n° 2 (juin – août 2005)PermalinkCalcul de l'allongement troposphérique via l'utilisation de cartes de l'ECMWF / Samuel Nahmani (2005)PermalinkThe discontinuous nature of kriging interpolation for digital terrain modelling / Thomas H. Meyer in Cartography and Geographic Information Science, vol 31 n° 4 (October 2004)PermalinkDetection of systematic error areas on a DTM by comparison with a high resolution LIDAR DTM / Frédéric Rousseaux (2004)PermalinkLa géomatique à l'âge de pierre / Françoise de Blomac in SIG la lettre, n° 53 (janvier 2004)PermalinkInfometric and statistical diagnostics to provide artificially-intelligent support for spatial analysis: the example of interpolation / C.H. Jarvis in International journal of geographical information science IJGIS, vol 17 n° 6 (september 2003)PermalinkSurveillance de la qualité de l'air par cartographie : l'approche géostatistique / M. Bobbia in Géomatique expert, n° 25 (01/05/2003)PermalinkLe raster : une source d'informations de mieux en mieux exploitée ? / Françoise de Blomac in SIG la lettre, n° 45 (mars 2003)PermalinkThe potential of virtual reality technology for analysis of remotely sensed data: a Lidar case study / T. Warner in Geocarto international, vol 18 n° 1 (March - May 2003)Permalink