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2 December 2020 (17.00 to 18.00 Central European Time)
This coffee talk featured the following presentations, followed by an open discussion. A recording is available on YouTube.
1) "Defining census enumeration areas, a new method" by Ana Santos, Statistics Portugal
Every ten years, Statistical Portugal has the large work of updating the enumeration areas that are used by the censuses for data collection and dissemination purposes. This work is carried out internally by the Geoinformation team, editing geospatial data from previous census boundaries, in a process that normally begins three years before the census reference day. For the 2021 census, Statistics Portugal is trying to create a more comprehensive geometry, reducing the complexity of the geometry of the small polygons, using topographic elements and reducing imaginary lines, and creating an autonomous data set for the census localities. Cooperation with the municipalities (LAU 1) is vital to this task. The sectioning process related to the dimensioning of the enumeration areas is also done internally. This work is possible since Statistics Portugal has a Spatial Data Infrastructure.
2) "New tools in creating and monitoring Enumeration Areas (EAs) for the 2020 round population censuses" by Mathias Kuepie, UNFPA / GRID3 Project
One cornerstone of a population and housing census (PHC) is the Enumeration Area (EA) which is a small zone that can be covered by an enumerator within the duration of the enumeration phase. Typically, before counting housing and population on the field, the country is subdivided into EAs during the census cartography phase. In the past, census cartography was based on paper maps and it was difficult to generate and monitor EAs efficiently. So EAs boundaries and features could be relatively inconsistent and ultimately lead to a census with flaws in terms of population count and spatial distribution. With the emergence of geospatial data and the use of GIS, it’s possible to build EAs more efficiently and to develop tools to optimize their coverage. The Project “Georeferenced Infrastructure and Demographic Data for Development” (GRID3) has been engaged in the development of innovative approaches of creation and monitoring EAs in different settings: Democratic Republic of Congo (DRC), Ghana and Burkina Faso. The presentation will start with an introduction to the GRID3 project. Then the challenges faced when creating EAs will be raised and finally, the different innovative solutions developed within the GRID3 project presented.
For more information about other coffee talks in this series, please see: this page.