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Popweaver: a program for interpolation and visualization of census and other sparsely collected data

Wladimir J. Alonso (), Daniel López and Cynthia Schuck-Paim
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Wladimir J. Alonso: National Institutes of Health
Daniel López: IMPA (National Institute for Pure and Applied Mathematics)
Cynthia Schuck-Paim: Wolfson College

Journal of Population Research, 2017, vol. 34, issue 3, No 5, 303-311

Abstract: Abstract Demographic data is essential to inform socio-economic, epidemiological and other time series analyses. However, demographic data based on interpolations performed on census surveys spaced several years apart often bear severe quality problems, which propagate into studies that make use of those datasets. We present Popweaver, a user-friendly and free software that allows users to interpolate demographic data (stratified by age, geography, socio-economics, and other layers), visually inspect them, and generate ready-to-submit figures and three-dimensional spreadsheets with the results for further analyses. We illustrate the use of Popweaver with census data (1980, 1991, 2000, 2010) from Brazil, and its potential to reveal important demographic trends.

Keywords: Demographic data; Interpolation; Software; Time-series; Brazil (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s12546-017-9186-3

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Journal of Population Research is currently edited by Santosh Jatrana, Dharmalingam Arunachalam, Aude Bernard, Vladimir Canudas-Romo, Ann Evans, Michael Haan, Brian Houle, Trude Lappegård and Gordon Carmichael

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