arXiv · 1610.09041
Estimation of gridded population and GDP scenarios with spatially explicit statistical downscaling
Abstract
This study downscales the population and gross domestic product (GDP) scenarios given under Shared Socioeconomic Pathways (SSPs) into 0.5-degree grids. Our downscale approach has the following features: (i) it explicitly considers spatial and socioeconomic interactions among cities; (ii) it utilizes auxiliary variables, including, road network and land cover; (iii) it endogenously estimates influence from each factor by a model ensemble approach; (iv) it allows us controlling urban shrinkage/dispersion depending on SSPs. It is confirmed that our downscaling results are consistent with scenario assumptions (e.g., concentration in SSP1 and dispersion in SSP3). Besides, while existing grid-level scenario tends to have overly-smoothed population distributions in non-urban areas, ours does not suffer from the problem, and captures difference in urban and non-urban areas in a more reasonable manner.
Explore related subjects
Keep this discovery
Daisuke Murakami, Yoshiki Yamagata. 2016-10-28. Estimation of gridded population and GDP scenarios with spatially explicit statistical downscaling. https://arxiv.org/abs/1610.09041
Cite the original work for its findings. Save a collection to share your selection of sources.