Harmonizing disparate data across time and place: The Integrated Spatio-Temporal Aggregate Data Series

Petra Noble; David Van Riper; Steven Ruggles; Jonathan Schroeder; Monty Hindman

doi:10.1080/01615440.2011.563228

Harmonizing disparate data across time and place: The Integrated Spatio-Temporal Aggregate Data Series

Petra Noble, David Van Riper, Steven Ruggles, Jonathan Schroeder, Monty Hindman

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

In this article, the authors describe a new data infrastructure project being developed at the Minnesota Population Center. The Integrated Spatio-Temporal Aggregate Data Series (ISTADS) will make it easier for researchers to use publicly available aggregate data for the United States over a time span that covers virtually the entire life of the nation: 1790-2012. In addition to facilitating access and ease of use, ISTADS will facilitate the use of these various data sets in mapping and spatial analysis.

Original language	English (US)
Pages (from-to)	79-85
Number of pages	7
Journal	Historical Methods
Volume	44
Issue number	2
DOIs	https://doi.org/10.1080/01615440.2011.563228
State	Published - Apr 2011

Bibliographical note

Funding Information:
The Integrated Spatio-Temporal Aggregate Data Series project at the Minnesota Population Center, University of Minnesota, is supported by a grant from the National Institutes of Health, 1RO1 HD057929.

Keywords

GIS
aggregate data
census data
data integration

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Harmonizing disparate data across time and place: The Integrated Spatio-Temporal Aggregate Data Series",

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Harmonizing disparate data across time and place: The Integrated Spatio-Temporal Aggregate Data Series

Abstract

Bibliographical note

Keywords

UN SDGs

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