Obtaining population estimates in non-census reporting zones: An evaluation of the 3-class dasymetric method-Reference-Cited by-同舟云学术

Obtaining population estimates in non-census reporting zones: An evaluation of the 3-class dasymetric method

Published:2006-03 Issue:2 Volume:30 Page:161-180
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Langford Mitchel

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modelling,Geography, Planning and Development

Reference39 articles.

1. Choosing an appropriate spatial resolution for remote sensing investigations;Atkinson;Photogrammetric Engineering and Remote Sensing,1997

2. Determining urban land use through an analysis of the spatial composition of buildings identified in LIDAR and multispectral image data;Barnsley,2003

3. Implementation of enhanced areal interpolation using MapInfo;Bloom;Computers and Geosciences,1996

4. Linkage of the 1981 and 1991 UK censuses using surface modelling concepts;Bracken;Environment and Planning A,1995

5. The interactive effect of spatial resolution and degree of internal variability within land cover types on classification accuracies;Cushnie;International Journal of Remote Sensing,1987

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