Full Citation

Title: Visualizing demographic evolution using geographically inconsistent census data

Citation Type: Miscellaneous

Publication Year: 2018

ISBN:

ISSN:

DOI: 10.31235/OSF.IO/A3GTD

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Abstract: We propose a visual analytics system that enables the exploration evolutionary patterns in geographically inconsistent data, removing the need for harmonization of the geographical regions into a common geometry, a time consuming and error-prone process that is currently used in virtually all longitudinal analysis of geographical data. This work also includes incremental developments in the representation, clustering, and visual exploration of region-based geographical data. While we leverage the well known context of census data, our proposal is suitable for any region-based data. The method enables an easier identification and understanding of the demographic groups present in a city and their evolution over time. We present the feedback of experts in urban sciences and sociology, along with illustrative scenarios in the USA and Canada on the decennial censuses between 1970 and 2010.

Url: https://doi.org/10.31235/osf.io/a3gtd

User Submitted?: No

Authors: Dias, Fabio; Silver, Daniel

Publisher: SocArXiv

Data Collections: IPUMS NHGIS

Topics: Methodology and Data Collection, Population Data Science

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