ESCAP ESCAP Step-by-step Guide on Estimating SDG 9.1.1 Using Geospatial Data
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  1. Step 3: Rural Areas Geodata Processing and Analytics
  • Home
  • Introduction
  • Step 1: Preparing Geodata
  • Step 2: Road Network Geodata Processing and Analytics
  • Step 3: Rural Areas Geodata Processing and Analytics
  • Step 4: Modeling Rural Population within 2 km of All-Season Roads
  • Recommendations and Conclusion

Step 3: Rural Areas Geodata Processing and Analytics

This section focuses on preparing the rural population data and aligning it with your area of interest.

10. Add rural population data to map: Add your vector layer containing information on rural population to the QGIS map canvas (e.g., drag-and-drop Chuy_buildingsUTM43.shp).

Geocoded building data added to the map.

11. Clip rural population to area of interest (optional for national-level analysis): To obtain rural population points specifically within your chosen analysis area (e.g., Kemin rayon), you need to clip the broader rural population dataset.

  • Open Vector > Geoprocessing Tools > Clip.
  • Set ‘Input layer’ to your rural population layer (e.g., Chuy_buildingsUTM43.shp).
  • Set ‘Overlay layer’ to your area of interest boundary (e.g., Kemin_KGZ.shp).
  • Specify an ‘Output layer’ path and name (e.g., D:/SDG_911_Project/Kemin_rural.shp).
  • Click ‘Run’.
  • Note: If producing the indicator at the national level, skip this clipping step and use your national rural population dataset directly.

Clipping rural population to area of interest.

Rural population data points in Kemin rayon highlighted in green.

Economic and Social Commission for Asia and the Pacific

 
  • Big Data and Data Science for Official Statistics in Asia and the Pacific