Abstract
We propose a vector alternative to the typical raster based population modeling framework. When compared with rasters, vectors are more precise, have the ability to hold more information, and are more conducive to areal constructs such as building and parcel outlines. While rasters have traditionally provided computational efficiency, much of this efficiency is reduced at finer resolutions and computational resources are more plentiful today. Herein we describe the approach and implementation methodology. We also describe the output data stack for the United States and provide examples and applications.
| Original language | English |
|---|---|
| Pages (from-to) | 103-108 |
| Number of pages | 6 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 46 |
| Issue number | 4/W2-2021 |
| DOIs | |
| State | Published - Aug 19 2021 |
| Event | FOSS4G 2021 - Academic Track - Buenos Aires, Argentina Duration: Sep 27 2021 → Oct 2 2021 |
Funding
This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of En- ergy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (https://energy.gov/downloads/doe-public-access-plan).
| Funders | Funder number |
|---|---|
| US Department of En- ergy | |
| U.S. Department of Energy |
Keywords
- Population Modeling
- PostGIS
- PostgreSQL
- gridded population
- raster processing
- vector processing