Background

Flowminder is one of the implementing partners of the GRID3 programme. Responsible for leading the capacity strengthening efforts of the partnership, Flowminder, in collaboration with GRID3 partner WorldPop, recently engaged with Ghana Statistical Service (GSS) to provide Geographic Information System (GIS) training and technical assistance to support their census planning efforts.

 

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GSS expressed a need for assessing the potential difficulty of visiting enumeration areas (EAs) to reduce the count of persons ‘missed’ by enumerators. An EA is a geographic area visited by one census representative during the census to administer the questionnaire to each household within that area.

Our solution

To support this work, Flowminder, with GRID3 colleagues, developed a ‘Hard to Count Indices’ GIS toolkit to assess the difficulty of enumerating an EA based on three categories:

  • geometry (size/shape of the area),
  • buildings (building count and distance between buildings) and
  • accessibility (tree cover, road networks, accessibility-friction surface).
GRID3-GHA-GSS, group pointing at document

Data input

Each indicator had different data requirements. For each category, we listed below the input data and their source required to produce the outputs.

Indicator

Input Data

Source

Buildings Count and Cluster Distance

Building footprints

MAXAR

Tree Cover

Tree cover raster

NASA

Access (friction surface)

Friction surface raster

Internal (produced in AccessMod), requires a digital elevation model (SRTM), roads (OSM) and landcover (ESA)

Road Density

Road Shapefile

OpenStreetMap (OSM)

Data outputs

Every category includes an automated mapping tool that outputs PDF maps of the indicators for each district. Results for each indicator are presented using colours red - green (where red highlights potential higher difficulty).

There is a separate PDF produced for each indicator.

Image:  PDF map produced for a trial census district, showcasing the accessibility indicators. Difficulty is displayed as low to high where red indicates potential higher difficulty

GRID3-GHA, Accessibility Indicators examples

Capacity strengthening for sustainable use

This work is supported by GIS training to key GSS staff to allow sustainable use of the toolkit. After the indicators were initally supplied, Flowminder, with colleagues from the GRID3 WorldPop team, travelled to Ghana for a follow-up GIS capacity strengthening mission.

The team produced indicators for four trial areas as part of a master training and Q&A event with 60 census staff. Alongside this, we worked with the GSS GIS team to road test the new tools produced, to ensure GSS could run them in-house.

This approach enables GSS to estimate enumeration effort in terms of field resources and personnel.