Social Work

Semi-automatic mapping of pre-census enumeration areas and population sampling frames

S. Qader, V. Lefebvre, et al.

Discover how a semi-automatic method for mapping Enumeration Areas significantly improves data collection for national censuses. This innovative approach, led by Sarchil Qader and colleagues, utilizes high-resolution population data and publicly available boundaries to create efficient mapping solutions, proving vital for areas like Somalia.

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Abstract

Creating and updating Enumeration Areas (EAs) for national censuses is challenging. This paper presents a semi-automatic method for mapping EAs using high-resolution gridded population and settlement data, along with publicly available boundaries. The approach is demonstrated in Somalia, where EA mapping is lacking, and compared to manually digitised EAs in Mogadishu and Hargeysa. The semi-automatically generated EAs are consistent with standards, show time and cost savings, and are applicable to low-income and data-poor settings.

Publisher

Humanities and Social Sciences Communications

Published On

Jan 04, 2021

Authors

Sarchil Qader, Veronique Lefebvre, Andrew Tatem, Utz Pape, Kristen Himelein, Amy Ninneman, Linus Bengtsson, Tomas Bird

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