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Titre : Interpolating spatial interaction data Type de document : Article/Communication Auteurs : W. Jang, Auteur ; X. Yao, Auteur Année de publication : 2011 Article en page(s) : pp 541 - 555 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] commutateur
[Termes IGN] données localisées
[Termes IGN] flux de données
[Termes IGN] Géorgie (Etats-Unis)
[Termes IGN] interpolation linéaire
[Termes IGN] interpolation spatialeRésumé : (Auteur) Spatial interpolation has been widely used to improve the spatial granularity of data, or to mediate between inconsistent zoning schemes of spatial data. Traditional areal interpolation methods translate values of source zones to those of target zones. These methods have difficulty in dealing with flow data, as each instance is associated with a pair of zones. This study develops a new concept, flow line interpolation, to fill the abovementioned gap. We also develop a first flow line interpolation method to estimate commuting flow data between spatial units in a target zoning scheme based on such data in a source zoning scheme. Three models (i.e., areal-weighted, intelligent, and gravity-type flow line interpolation) are presented. To test the estimation accuracy and the application potential of these models, a case study of Fulton County in Georgia is conducted. The results reveal that both the areal-weighted and intelligent models are very promising flow line interpolation methods. Numéro de notice : A2011-348 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2011.01273.x Date de publication en ligne : 16/08/2011 En ligne : https://doi.org/10.1111/j.1467-9671.2011.01273.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31127
in Transactions in GIS > vol 15 n° 4 (August 2011) . - pp 541 - 555[article]The development of a web-based demographic data extraction tool for population monitoring / T. Chow in Transactions in GIS, vol 15 n° 4 (August 2011)
[article]
Titre : The development of a web-based demographic data extraction tool for population monitoring Type de document : Article/Communication Auteurs : T. Chow, Auteur ; Y. Lin, Auteur ; W. Chan, Auteur Année de publication : 2011 Article en page(s) : pp 479 - 494 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] base de données d'adresses
[Termes IGN] données démographiques
[Termes IGN] exploration de données géographiques
[Termes IGN] extraction de données
[Termes IGN] outil de découverte de connaissances
[Termes IGN] population
[Termes IGN] Texas (Etats-Unis)Résumé : (Auteur) The Internet contains a great wealth of information available online. People search engines, such as WhitePages (http://www.whitepages.com), gather personal-level demographic data, including full name, address, age and household members. Requiring only a surname and locational reference (e.g. city or postal code) as the minimum search criteria, such people search engines can be perceived as a gigantic database of demographic records. The objective of this article is to outline the development of a web-based demographic data extraction tool for population monitoring. In this study, a web prototype was developed to extract web demographics of the Vietnamese-American (VA) population in Texas, an ethnic minority with unique migration history, from WhitePages. After post-processing, the personal-level demographic data represent 40.3% of 202,003 VA in Texas reported by the American Community Survey (ACS) 2009. While all enumeration strategies, the web approach included, have their own strengths and weaknesses, this study suggests an alternative approach that is complementary to existing enumeration strategies. More research and development are needed to validate the accuracy of web demographics and further enhance data navigation and extraction rules. The utilization and release of web demographics must be cautious with regards to privacy and integrity of personal identity. Numéro de notice : A2011-347 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2011.01274.x Date de publication en ligne : 16/08/2011 En ligne : https://doi.org/10.1111/j.1467-9671.2011.01274.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31126
in Transactions in GIS > vol 15 n° 4 (August 2011) . - pp 479 - 494[article]Global ortho project / Matteo Luccio in GIM international, vol 25 n° 7 (July 2011)
[article]
Titre : Global ortho project Type de document : Article/Communication Auteurs : Matteo Luccio, Auteur Année de publication : 2011 Article en page(s) : pp 16 - 21 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] caméra numérique
[Termes IGN] Etats-Unis
[Termes IGN] Europe occidentale
[Termes IGN] image à ultra haute résolution
[Termes IGN] image aérienne
[Termes IGN] orthophotoplan numérique
[Termes IGN] UltraCamRésumé : (Auteur) Microsoft’s Global Ortho (GO) project aims to capture the entire continental United States and Western Europe at a spatial resolution of 30 centimetres, using UltraCamG digital aerial cameras. The GO project produced the first imagery in August 2010 and has to date captured 46% of the area and published 2.21km2. The entire project is scheduled for completion by June 2012, to be followed by a three-year refresh cycle. The author discusses the GO project, as well as features of the UltraCamG and the new UltraCam Eagle digital aerial cameras. The latter was launched as a commercial offering in May 2011. Numéro de notice : A2011-304 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31083
in GIM international > vol 25 n° 7 (July 2011) . - pp 16 - 21[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 061-2011071 RAB Revue Centre de documentation En réserve L003 Disponible Mining boundary effects in areally referenced spatial data using the Bayesian information criterion / Sudipto Banerjee in Geoinformatica, vol 15 n° 3 (July 2011)
[article]
Titre : Mining boundary effects in areally referenced spatial data using the Bayesian information criterion Type de document : Article/Communication Auteurs : Sudipto Banerjee, Auteur ; A. Mcbean, Auteur Année de publication : 2011 Article en page(s) : pp 435 - 454 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] auto-régression
[Termes IGN] données localisées numériques
[Termes IGN] estimation bayesienne
[Termes IGN] image aérienne
[Termes IGN] limite indéterminée
[Termes IGN] Minnesota (Etats-Unis)
[Termes IGN] modèle statistique
[Termes IGN] santéRésumé : (Auteur) Statistical models for areal data are primarily used for smoothing maps revealing spatial trends. Subsequent interest often resides in the formal identification of ‘boundaries’ on the map. Here boundaries refer to ‘difference boundaries’, representing significant differences between adjacent regions. Recently, Lu and Carlin (Geogr Anal 37:265–285, 2005) discussed a Bayesian framework to carry out edge detection employing a spatial hierarchical model that is estimated using Markov chain Monte Carlo (MCMC) methods. Here we offer an alternative that avoids MCMC and is easier to implement. Our approach resembles a model comparison problem where the models correspond to different underlying edge configurations across which we wish to smooth (or not). We incorporate these edge configurations in spatially autoregressive models and demonstrate how the Bayesian Information Criteria (BIC) can be used to detect difference boundaries in the map. We illustrate our methods with a Minnesota Pneumonia and Influenza Hospitalization dataset to elicit boundaries detected from the different models. Numéro de notice : A2011-208 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-010-0109-0 Date de publication en ligne : 18/06/2010 En ligne : https://doi.org/10.1007/s10707-010-0109-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30986
in Geoinformatica > vol 15 n° 3 (July 2011) . - pp 435 - 454[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2011031 RAB Revue Centre de documentation En réserve L003 Disponible A slope-based method for matching elevation surfaces / D. Streutker in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 7 (July 2011)
[article]
Titre : A slope-based method for matching elevation surfaces Type de document : Article/Communication Auteurs : D. Streutker, Auteur ; N. Glenn, Auteur ; R. Shresta, Auteur Année de publication : 2011 Article en page(s) : pp 721 - 732 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] appariement de données localisées
[Termes IGN] appariement géométrique
[Termes IGN] données lidar
[Termes IGN] hauteur de vol
[Termes IGN] Idaho (Etats-Unis)
[Termes IGN] pente
[Termes IGN] reconstruction d'objet
[Termes IGN] recouvrement d'imagesRésumé : (Auteur) A method is presented for the co-registration of overlapping elevation surfaces based on local slope analysis. Comparison and statistical analysis of local slope versus local elevation difference between overlapping surfaces allows for the estimation of both vertical and horizontal offsets between the two surfaces. This method is then used to re-align the flightlines of a Light Detection and Ranging (lidar) dataset collected in southern Idaho resulting in a dataset with significantly higher accuracy than the original. The relative horizontal accuracy is doubled, with a final value of approximately 25 to 30 cm, while the relative vertical accuracy is improved by several centimeters to a final valm of approximately 6 to 7 cm. Numéro de notice : A2011-315 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.7.743 En ligne : https://doi.org/10.14358/PERS.77.7.743 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31094
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 7 (July 2011) . - pp 721 - 732[article]Impervious surface area extraction from IKONOS imagery using an object-based fuzzy method / Xuefei Hu in Geocarto international, vol 26 n° 1 (February 2011)PermalinkInfluence of street reference data on geocoding quality / P. Zandbergen in Geocarto international, vol 26 n° 1 (February 2011)PermalinkDelineation of impervious surface from multispectral imagery and lidar incorporating knowledge based expert system rules / K. Germaine in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 1 (January 2011)Permalink"The map proves it": map use by the American woman suffrage movement / C. Dando in Cartographica, vol 45 n° 4 (December 2010)PermalinkIncorporating data quality information in mapping American community survey data / M. Sun in Cartography and Geographic Information Science, vol 37 n° 4 (October 2010)PermalinkUsing geographical information system to model the effects of green space accessibility on mortality in Florida / C. Coutts in Geocarto international, vol 25 n° 6 (October 2010)PermalinkAn ensemble approach to space-time interpolation / E. Wentz in International journal of geographical information science IJGIS, vol 24 n° 9 (september 2010)PermalinkTerrestrial laser scanning for use in virtual outcrop geology / S.J. Buckley in Photogrammetric record, vol 25 n° 131 (September - November 2010)PermalinkPredicting southeastern forest canopy heights and fire fuel models using GLAS data / M. Ashworth in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 8 (August 2010)PermalinkLand cover characterization for hydrological modelling using thermal infrared emissivities / A. French in International Journal of Remote Sensing IJRS, vol 31 n° 14 (July 2010)Permalink