2022 Reports
Generating and Evaluating Digitised Census Enumeration Areas
“Generating and Evaluating Digitised Census Enumeration Areas” discusses GRID3's support of countries’ efforts to create and/or strengthen their EA boundaries. The paper discusses GRID3's two main areas of focus in GRID3’s work in the field of EA demarcation: 1) Creating and/or updating “pre-EA” boundaries using a semi-automated delineation approach, with a case study in the Democratic Republic of the Congo, and 2) Providing GIS training and technical assistance to assess the potential difficulty of visiting EAs, so as to reduce the count of persons “missed” by census enumerators, with a case study in Ghana. The paper also discusses EA support currently underway in Zambia. For more information, see https://grid3.org/.
Keywords: Census; cartography; sustainable development; Democratic Republic of the Congo; Ghana; Zambia; GRID3; CIESIN; UNFPA; Flowminder; WorldPop; Africa; Bill & Melinda Gates Foundation; enumeration areas; pre-enumeration areas; Hard to Count tool; GIS; 2nd National Population and Housing Census; Ghana Statistical Service; Zambia Statistics Agency; Sustainable Development Goals; Columbia University; data; geospatial; GPS; semi-automated; national statistical office; building footprints;
Geographic Areas
Files
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GRID3_CensusEnumerationAreas_June2022.pdf application/pdf 81.8 KB Download File
More About This Work
- Academic Units
- Center for International Earth Science Information Network
- Series
- GRID3
- Published Here
- May 31, 2022
Notes
Note:
The PDF file of the paper described in this record was updated on June 29, 2022, with a new Contributors section.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University; Flowminder Foundation; United Nations Population Fund (UNFPA); WorldPop, University of Southampton. 2022. Generating and Evaluating Digitised Census Enumeration Areas. Palisades, NY: Georeferenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/dgz1-sh16. Accessed DAY MONTH YEAR.
License and Copyright:
Copyright ©️2022. The Trustees of Columbia University in the City of New York. This document is licensed under the Creative Commons Attribution 4.0 International License.