Evaluation of disaggregation methods to generate population grids
DOI:
https://doi.org/10.5281/zenodo.3966412Keywords:
population distribution, population grid, disaggregation, AggregationAbstract
The purpose of this work is to evaluate disaggregation methods used to generate a population grid, using as reference a population grid built with the aggregation of census micro-data, which allows more accurate results about the performance of
these methods. Three methods were selected to conduct the evaluation. The first uses an array of errors and successes in identifying populated and non-populated areas, allowing an evaluation of the accuracy of the spatial distribution. The second
method uses coefficients reported by a linear regression to evaluate the data fit. Finally, it is used a formula to calculate the difference between the population values, showing whether there is underestimation or overestimation. The results suggest that the choice of the most appropriate method depends on the purpose of the study, the quality and availability of the ancillary data as well as the features of the interest area.
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