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(Article of periodic en Anglais - 2014)

Document title

Dasymetric modeling and uncertainty

Authors(s) and Affiliation(s)

NAGLE N.N. (1) ; BUTTENFIELD B.P. (2) ; LEYK S. (2) ; SPIELMAN S. (2) ;
(1) Dept. of Geography, Univ. of Tennessee, Knoxville, ETATS-UNIS
(2) Dept of Geography , Univ. of Colorado, Boulder, ETATS-UNIS

Abstract

This article presents a new dasymetric methodology—the penalized maximum entropy dasymetric model that enables sources of uncertainty to be represented and modeled. It allows a rich array of data to be included, with disparate spatial resolutions, attribute resolutions, and uncertainties. It also allows a rich array of data to be included, with disparate spatial resolutions, attribute resolutions, and uncertainties. It concludes by presenting an application that that includes household-level survey data combined with higher spatial resolution data such as from census tracts, block groups, and land cover classifications in Davidson County, Tennessee

Source

Article of periodic

published at : Annals of the Association of American Geographers / ISSN 0004-5608 / CODEN AAAGAK

Editor : Association of American Geographers, Washington, DC - ETATS-UNIS (1911)

Millesime : 2014, vol. 104, no1 [pp. 80-95]

Bibliographic references : 2 p.

Collation : 5 fig., 2 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 5096

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1080/00045608.2013.843439

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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