Measuring the contribution of built-settlement data to global population mapping.

ABSTRACT: Top-down population modelling has gained applied prominence in public health, planning, and sustainability applications at the global scale. These top-down population modelling methods often rely on remote-sensing (RS) derived representation of the built-environment and settlements as key predictive covariates. While these RS-derived data, which are global in extent, have become more advanced and more available, gaps in spatial and temporal coverage remain. These gaps have prompted the interpolation of the built-environment and settlements, but the utility of such interpolated data in further population modelling applications has garnered little research. Thus, our objective was to determine the utility of modelled built-settlement extents in a top-down population modelling application. He

SUBMITTER: Nieves JJ 

PROVIDER: S-EPMC8041065 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature