Articles | Volume 14, issue 6
Earth Syst. Sci. Data, 14, 2833–2849, 2022
https://doi.org/10.5194/essd-14-2833-2022
Earth Syst. Sci. Data, 14, 2833–2849, 2022
https://doi.org/10.5194/essd-14-2833-2022
Data description paper
23 Jun 2022
Data description paper | 23 Jun 2022

Improving intelligent dasymetric mapping population density estimates at 30 m resolution for the conterminous United States by excluding uninhabited areas

Jeremy Baynes et al.

Data sets

2010 Dasymetric Population for the Conterminous United States v3 J. Baynes, A. Neale, and T. Hultgren https://doi.org/10.23719/1522948

Model code and software

USEPA/Dasymetric-Toolbox-ArcGISPro: v1.0.0 (v1.0.0) US Environmental Protection Agency https://doi.org/10.5281/zenodo.6645816

USEPA/Dasymetric-Toolbox-OpenSource: v1.0.0 (v1.0.0) US Environmental Protection Agency https://doi.org/10.5281/zenodo.6645824

Download
Short summary
Census data are typically provided in irregularly shaped spatial units. To get a more refined estimate of population density, we downscaled population counts from United States (US) census blocks to a 30 m grid using intelligent dasymetric mapping. Furthermore, we improved our density estimates by using multiple spatial datasets to identify and mask uninhabited areas. Masking these uninhabited areas improved density estimates for every state in the conterminous US.