2017
DOI: 10.1038/sdata.2017.1
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High resolution global gridded data for use in population studies

Abstract: Recent years have seen substantial growth in openly available satellite and other geospatial data layers, which represent a range of metrics relevant to global human population mapping at fine spatial scales. The specifications of such data differ widely and therefore the harmonisation of data layers is a prerequisite to constructing detailed and contemporary spatial datasets which accurately describe population distributions. Such datasets are vital to measure impacts of population growth, monitor change, and… Show more

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Cited by 266 publications
(191 citation statements)
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“…The construction of the slope layer is useful to human population studies because population densities tend to be much lower on steep slopes. Similarly, the construction of the topography layer is useful because population densities tend to be lowest at the highest elevations (Lloyd et al, 2017). Moreover, population densities are all related to landcover, infrastructure and climatic regimes, and therefore the additional layers are also potentially valuable inputs as covariates to population modelling efforts (Lloyd et al, 2017).…”
Section: Methodsmentioning
confidence: 99%
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“…The construction of the slope layer is useful to human population studies because population densities tend to be much lower on steep slopes. Similarly, the construction of the topography layer is useful because population densities tend to be lowest at the highest elevations (Lloyd et al, 2017). Moreover, population densities are all related to landcover, infrastructure and climatic regimes, and therefore the additional layers are also potentially valuable inputs as covariates to population modelling efforts (Lloyd et al, 2017).…”
Section: Methodsmentioning
confidence: 99%
“…Pixel area tiles are supplied as 100m tiles only. Additional spatial data layers that are incorporated into the archive are similarly standardised to match the grid definition and coastlines of the country ID base grid (Lloyd et al, 2017).…”
Section: Methodsmentioning
confidence: 99%
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