The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVI-4/W2-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W2-2021, 103–108, 2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W2-2021-103-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W2-2021, 103–108, 2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W2-2021-103-2021

  19 Aug 2021

19 Aug 2021

A VECTOR ANALYTICAL FRAMEWORK FOR POPULATION MODELING

J. J. Moehl, E. M. Weber, and J. J. McKee J. J. Moehl et al.
  • Oak Ridge National Laboratory, Oak Ridge, TN, USA

Keywords: Population Modeling, PostgreSQL, PostGIS, raster processing, vector processing, gridded population

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.