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Assessment of regression kriging for spatial interpolation: comparisons of seven GIS interpolation methods / Qingmin Meng in Cartography and Geographic Information Science, vol 40 n° 1 (January 2013)  

Public [article]  inCartography and Geographic Information Science > vol 40 n° 1 (January 2013) . - pp 28 - 39 Titre : Assessment of regression kriging for spatial interpolation: comparisons of seven GIS interpolation methods Type de document : Article/Communication Auteurs : Qingmin Meng, Auteur ; Zhijun Liu, Auteur ; Bruce E. Borders, Auteur Année de publication : 2013 Article en page(s) : pp 28 - 39 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] analyse comparative [Termes IGN] interpolation spatiale [Termes IGN] krigeage [Termes IGN] lissage de données [Termes IGN] régression [Termes IGN] système d'information géographique Résumé : (Auteur) As an important GIS function, spatial interpolation is one of the most often used geographic techniques for spatial query, spatial data visualization, and spatial decision-making processes in GIS and environmental science. However, less attention has been paid on the comparisons of available spatial interpolation methods, although a number of GIS models including inverse distance weighting, spline, radial basis functions, and the typical geostatistical models (i.e. ordinary kriging, universal kriging, and cokriging) are already incorporated in GIS software packages. In this research, the conceptual and methodological aspects of regression kriging and GIS built-in interpolation models and their interpolation performance are compared and evaluated. Regression kriging is the combination of multivariate regression and kriging. It takes into consideration the spatial autocorrelation of the variable of interest, the correlation between the variable of interest and auxiliary variables (e.g., remotely sensed images are often relatively easy to obtain as auxiliary variables), and the unbiased spatial estimation with minimized variance. To assess the efficiency of regression kriging and the difference between stochastic and deterministic interpolation methods, three case studies with strong, medium, and weak correlation between the response and auxiliary variables are compared to assess interpolation performances. Results indicate that regression kriging has the potential to significantly improve spatial prediction accuracy even when using a weakly correlated auxiliary variable. Numéro de notice : A2013-741 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/15230406.2013.762138 En ligne : https://doi.org/10.1080/15230406.2013.762138 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32877 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2013011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

How users interact with a 3D geo-browser under time pressure / Jan Wilkening in Cartography and Geographic Information Science, vol 40 n° 1 (January 2013)  

Public [article]  inCartography and Geographic Information Science > vol 40 n° 1 (January 2013) . - pp 40 - 52 Titre : How users interact with a 3D geo-browser under time pressure Type de document : Article/Communication Auteurs : Jan Wilkening, Auteur ; Sara Irina Fabrikant, Auteur Année de publication : 2013 Article en page(s) : pp 40 - 52 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] données localisées 3D [Termes IGN] géonavigateur [Termes IGN] interactivité [Termes IGN] logiciel de navigation [Termes IGN] outil d'aide à la décision Résumé : (Auteur) Interactive 3D geo-browsers, also known as globe viewers, are popular, because they are easy and fun to use. However, it is still an open question whether highly interactive, 3D geographic data browsing, and visualization displays support effective and efficient spatio-temporal decision making. Moreover, little is known about the role of time constraints for spatio-temporal decision-making in an interactive, 3D context. In this article, we present an empirical approach to assess the effect of decision-time constraints on the quality of spatio-temporal decision-making when using 3D geo-browsers, such as GoogleEarth, in 3D task contexts of varying complexity. Our experimental results suggest that while, overall, people interact more with interactive geo-browsers when not under time pressure, this does not mean that they are also more accurate or more confident in their decisions when solving typical 3D cartometric tasks. Surprisingly, we also find that 2D interaction capabilities (i.e., zooming and panning) are more frequently used for 3D tasks than 3D interaction tools (i.e., rotating and tilting), regardless of time pressure. Finally, we find that background and training of tested users do not seem to influence 3D task performance. In summary, our study does not provide any evidence for the added value of using interactive 3D globe viewers when needing to solve 3D cartometric tasks with or without time pressure. Numéro de notice : A2013-742 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/15230406.2013.762140 En ligne : https://doi.org/10.1080/15230406.2013.762140 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32878 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2013011	RAB	Revue	Centre de documentation	En réserve L003	Disponible