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Experiences and Lessons▶
1. Project Planning and Management2. Geospatial Mapping and EA Database3. Enumeration Instruments and Tools4. Data Capture and Management5. Census Testing and Pilots6. Recruitment and Training7. Deployment and Supervision8. Enumeration and Logistics9. Quality Assurance and Risk Management10. Census Analysis and Products11. Partnerships and Collaboration12. Advocacy and Publicity13. Procurement and Financial Management14. Post-Enumeration Survey15. Alternative Approaches16. Planning Checklist
Case Studies▶
1. Project Planning and Management2. Geospatial Mapping3. Enumeration Instruments4. Data Capture5. Census Testing6. Recruitment and Training7. Deployment and Supervision8. Enumeration and Logistics9. Quality Assurance10. Census Analysis11. Partnerships12. Advocacy13. Procurement14. Post-Enumeration Survey15. Alternative Approaches16. Planning Checklist
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15. Alternative Approaches

Recommendations​

  • To model large datasets, a suitable processing environment is needed. The recommended hardware specifications for modelling population estimates are at least 500GB of storage capacity, 64GB of RAM and 3.80GHz of processing speed.

  • The recommended software for population modelling are R and QGIS. Alternative software such as Python or ArcGIS can be used in the process and support for users of these software packages can be offered however most of the guidance is built around R for statistical processing, and QGIS as an open-source Geographic Information Systems (GIS) solution.

  • To spatially model population estimates, a strong knowledge of geospatial information systems (GIS) is recommended. Modellers should understand key GIS techniques.

back to Handbook Chapter 15