Assessing the use of global land cover data for guiding large area population distribution modelling

被引：72
作者：
Linard C. [1 ]
Gilbert M. [2 ]
Tatem A.J. [3 ]
机构：
[1] Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, OX1 3PS Oxford, South Parks Road
[2] Biological Control and Spatial Ecology, Université Libre de Bruxelles, 1050 Brussels, CP 160/12, 50
[3] Emerging Pathogens Institute and Department of Geography, University of Florida, Gainesville
来源：
GeoJournal | 2011年 / 76卷 / 05期
基金：
英国惠康基金;
关键词：
Census data; Dasymetric modelling; Global land cover data; GlobCover; Population mapping;
D O I：
10.1007/s10708-010-9364-8
中图分类号：
学科分类号：
摘要：
Gridded population distribution data are finding increasing use in a wide range of fields, including resource allocation, disease burden estimation and climate change impact assessment. Land cover information can be used in combination with detailed settlement extents to redistribute aggregated census counts to improve the accuracy of national-scale gridded population data. In East Africa, such analyses have been done using regional land cover data, thus restricting application of the approach to this region. If gridded population data are to be improved across Africa, an alternative, consistent and comparable source of land cover data is required. Here these analyses were repeated for Kenya using four continent-wide land cover datasets combined with detailed settlement extents and accuracies were assessed against detailed census data. The aim was to identify the large area land cover dataset that, combined with detailed settlement extents, produce the most accurate population distribution data. The effectiveness of the population distribution modelling procedures in the absence of high resolution census data was evaluated, as was the extrapolation ability of population densities between different regions. Results showed that the use of the GlobCover dataset refined with detailed settlement extents provided significantly more accurate gridded population data compared to the use of refined AVHRR-derived, MODIS-derived and GLC2000 land cover datasets. This study supports the hypothesis that land cover information is important for improving population distribution model accuracies, particularly in countries where only coarse resolution census data are available. Obtaining high resolution census data must however remain the priority. With its higher spatial resolution and its more recent data acquisition, the GlobCover dataset was found as the most valuable resource to use in combination with detailed settlement extents for the production of gridded population datasets across large areas. © 2010 The Author(s).
引用
收藏
页码：525 / 538
页数：13
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