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Comparison of dasymetric mapping for small-area population estimates / P. Zandbergen in Cartography and Geographic Information Science, vol 37 n° 3 (July 2010)  

Public [article]  inCartography and Geographic Information Science > vol 37 n° 3 (July 2010) . - pp 199 - 214 Titre : Comparison of dasymetric mapping for small-area population estimates Type de document : Article/Communication Auteurs : P. Zandbergen, Auteur ; D. Ignizio, Auteur Année de publication : 2010 Article en page(s) : pp 199 - 214 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] analyse comparative [Termes IGN] carte thématique [Termes IGN] densité de population [Termes IGN] figuration de la densité [Termes IGN] interpolation par pondération de zones [Termes IGN] occupation du sol [Termes IGN] recensement démographique Résumé : (Auteur) Dasymetric mapping techniques can be employed to estimate population characteristics of small areas that do not correspond to census enumeration areas. Land cover has been the most widely used source of ancillary data in dasymetric mapping. The current research examines the performance of alternative sources of ancillary data, including imperviousness, road networks, and nighttime lights. Nationally available datasets were used in the analysis to allow for replicability. The performance of the techniques used to examine these sources was compared to areal weighting and traditional land cover techniques. Four states were used in the analysis, representing a range of different geographic regions: Connecticut, New Mexico, Oregon, and South Carolina. Ancillary data sources were used to estimate census block group population counts using census tracts as source zones, and the results were compared to the known block group population counts. Results indicate that the performance of dasymetric methods varies substantially among study areas, and no single technique consistently outperforms all others. The three best techniques are imperviousness with values greater than 75 percent removed, imperviousness with values greater than 60 percent removed, and land cover. Total imperviousness and roads perform slightly worse, with nighttime lights performing the worst compared to all other ancillary data types. All techniques performed better than areal weighting. Numéro de notice : A2010-357 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304010792194985 En ligne : https://doi.org/10.1559/152304010792194985 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30551 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2010031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Spatial autoregressive model for population estimation at the census block level using lidar-derived building volume information / F. Qiu in Cartography and Geographic Information Science, vol 37 n° 3 (July 2010)  

Public [article]  inCartography and Geographic Information Science > vol 37 n° 3 (July 2010) . - pp 239 - 257 Titre : Spatial autoregressive model for population estimation at the census block level using lidar-derived building volume information Type de document : Article/Communication Auteurs : F. Qiu, Auteur ; H. Sridharan, Auteur ; Y. Chun, Auteur Année de publication : 2010 Article en page(s) : pp 239 - 257 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] auto-régression [Termes IGN] bati [Termes IGN] densité de population [Termes IGN] données lidar [Termes IGN] recensement démographique Résumé : (Auteur) The collection of population by census is laborious, time consuming and expensive, and often only available at limited temporal and spatial scales. Remote sensing based population estimation has been employed as a viable alternative for providing population estimates based on indicators that make use of two-dimensional areal information of buildings or one-dimensional length information of roads The recent advancement of LIDAR remote sensing provides the opportunity to add the third dimension of height information into the modeling of population distribution. This study explores the use of building volumes derived from LIDAR as a population indicator. Our study shows the volume-based model consistently outperforms area and length-based models at the census block level. Additionally, the study examines the impact of spatial autocorrelation, the presence of which violates the independence assumption of the traditional OLS models. To address this problem, a spatial autoregressive model is employed to account for the spatial autocorrelation in the regression residuals. By incorporating the spatial pattern, the volume-based spatial error model achieves a goodness of fit (R2) of 85 percent, with a significant improvement in model performance and estimation accuracies in comparison with its OLS counterpart. The study confirms building volume as a more valuable indicator and estimator for block level population distribution, especially if an appropriate spatial autoregressive model is adopted. Numéro de notice : A2010-358 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1559/152304010792194949 En ligne : https://doi.org/10.1559/152304010792194949 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30552 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2010031	RAB	Revue	Centre de documentation	En réserve L003	Disponible