Articles | Volume 11, issue 3
Earth Syst. Sci. Data, 11, 1385–1409, 2019
Earth Syst. Sci. Data, 11, 1385–1409, 2019

Review article 11 Sep 2019

Review article | 11 Sep 2019

The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use

Stefan Leyk et al.

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Cited articles

Agumya, A. and Hunter, G. F.: A Risk-Based Approach to Assessing the “Fitness for Use” of Spatial Data, URISA Journal, 11, 33–44, 1999. 
Amrhein, C. G.: Searching for the Elusive Aggregation Effect: Evidence from Statistical Simulations, Environ. Plann. A, 27, 105–119,, 1995. 
Arbia, G. and Petrarca, F.: Effects of MAUP on spatial econometric models, Letters in Spatial and Resource Sciences, 4, 173,, 2011. 
Aubrecht, C., Gunasekera, R., Ungar, J., and Ishizawa, O.: Consistent yet adaptive global geospatial identification of urban–rural patterns: The iURBAN model, Remote Sens. Environ., 187, 230–240,, 2016. 
Azar, D., Graesser, J., Engstrom, R., Comenetz, J., Leddy, R. M., Schechtman, N. G., and Andrews, T.: Spatial refinement of census population distribution using remotely sensed estimates of impervious surfaces in Haiti, Int. J. Remote Sens., 31, 5635–5655,, 2010. 
Short summary
Population data are essential for studies on human–nature relationships, disaster or environmental health. Several global and continental gridded population data have been produced but have never been systematically compared. This article fills this gap and critically compares these gridded population datasets. Through the lens of the fitness for use concept it provides users with the knowledge needed to make informed decisions about appropriate data use in relation to the target application.