A VECTOR ANALYTICAL FRAMEWORK FOR POPULATION MODELING

Autor: J. J. Moehl, E. M. Weber, J. J. McKee
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W2-2021, Pp 103-108 (2021)
Druh dokumentu: article
ISSN: 1682-1750
2194-9034
62521721
DOI: 10.5194/isprs-archives-XLVI-4-W2-2021-103-2021
Popis: 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.
Databáze: Directory of Open Access Journals