Geospatial Analysis Consultant for the CM4FP Study
Population Services International (PSI)
Grade: Unspecified
Occupations: General Support, Geography and cartography
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Job Description


Geospatial Analysis Consultant for the CM4FP Study

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PSI seeks a geospatial analysis consultant (an individual or an organization) to support various pieces of data analysis under our Consumer’s Market for Family Planning (CM4FP) research study. Focused on three strategic BMGF countries – Kenya, Nigeria and Uganda – this project is testing a new methodology for measuring contraceptive availability and market dynamics and their localized impact on family planning (FP) uptake. The study aims to fill the gaps left by prevalent survey approaches in answering important questions related to how to reliably measure FP supply availability, how the supply and demand sides of the FP market interact with each other, and how consumers experience, perceive and respond to aspects of the supply market. The objectives of this methodological pilot are to 1) test a ringed fence census approach to comprehensive mapping of the total market for family planning (FP); and in so doing, 2) empirically assess the representativeness of current service delivery point (SDP) sampling approaches in major population-based surveys; 3) explore FP market dynamics through longitudinal SDP data, 4) use directly linked household and SDP data to examine the relationship between dimensions of contraceptive access (geographic, awareness, and economic) and contraceptive choice. Through a ringed-fence census methodology, the project collects longitudinal data from all outlets in four selected project areas within each country and cross- sectional data from women living within these project areas over two-to-four rounds. The study has produced robust, high quality contraceptive market data that must now be explored and utilized for answering the key research questions that the study set out to answer. The consultant or consulting organization is sought not only to carry out agreed pieces of analyses but also to serve as a thought partner in exploring the full potential of the data for addressing the main research objectives and for conceptualizing analysis approaches. A full description of the study and its methodology are included in the Appendix.


The spatial analysis consultant is expected to contribute in the following ways:

  1. Assess the quality of the geospatial data (i.e., verify the accuracy of GPS coordinates and other spatial datasets), and where necessary work with the CM4FP team to address quality issues
  2. Recommend and collect secondary geospatial datasets to be used in the analysis and/or for the production of maps (this may include administrative boundaries, road network, urban areas and other datasets - typically shapefiles but other file formats may be relevant as well)
  3. Lend technical expertise in providing recommendations to the CM4FP team about potential ways that the data could be used to address the main study objectives and research questions. This thought partnership will then lead to refinement of the analysis p
  4. Lead design and implementation of various agreed geospatial analyses on data from quarterly cross-sectional household consumer surveys and longitudinal retail outlet surveys.
  5. Prepare anonymized geospatial data for future utilization by external researchers to ensure confidentiality while maximizing utilit Tasks include:

-Review, thoroughly vet, and refine system of geographic displacement of GPS coordinates collected from household interviews to allow for external release of these data.

-Recommend and create supplemental data variables, such as geographically aggregated indicators, that allow for meaningful analyses to be carried out by external parties using anonymized GPS data

The data sets to be explored include the longitudinal outlet data, all of which contain GIS coordinates, the cross-sectional household data which also contain GIS coordinates, and linked datasets which contain records of women paired with an outlet which they recently frequented and/or those which they identified as being located closest to their homes. Also relevant to analyses may be maps and shapefiles of study areas which were used in the selection of study areas, as well as population data for the various areas. The analysis will explore and expand upon an initial set of exploratory questions intended to provide spatial insights into the study’s main aims. The questions fall into the following themes, all of which may entail exploration of spatial patterns across outlets of different characteristics, across households and females of different characteristics, across study sites and/or across time, to name a few:

  1. The nature of the FP supply market (focused mainly on patterns of product and service availability), including its potential dynamism over
  2. Patterns of consumer behavior and perceptions of the FP supply market, and how these relate to observed patterns in the FP supply market.
  3. Limitations to common sampling approaches (such as those used by PMA and DHS) to measure FP supply availability and implications for future measurement approaches

The exploratory analysis areas (which are illustrative at this early stage and not exhaustive) are as follows:

  1. Measure geographic dispersion and clustering of various outlet characteristics (such as outlet type) and consumer characteristics
  2. Assessment of whether stockout of FP products (and other supply indicators) tended to be geographically
  3. The above may include using Kernel density estimation for heat mapping to identify patterns in clustering of stocked out
  4. Assessment of whether, and to what extent, any observed stock out hot spots correspond with and may influence local consumer FP
  5. Exploration of distance traveled by consumers to seek FP products and services and the extent to which geographic accessibility affects perceptions of which outlet is closest and also affects utilization of those outlets that appear to be closer based on geolocation data.
  6. Creation of maps of the “complete market for FP” to visualize geographic dispersion of FP methods available both as they were observed in the outlet survey and as they were reported (perceived) by women interviewed, to provide a direct contrast between perception and rea
  7. Implementation of the geospatial aspects of analyses aimed at exploring possible limitations of the sampling methodology used by prevalent sur This may involve creation of artificial enumeration areas for use in analysis. The expected outcome here is the development of one or several recommended sampling approaches, based on assessment of the CM4FP outlet census data, that would address any observed limitations of common sampling approaches.


Analytical tools

It is anticipated that the work will be conducted using QGIS or ArcGIS. The choice of statistical package is up to the consultant and may include STATA, R or another package. The work will be conducted remotely and engagement with the CM4FP study team will require usage of email, teleconferencing and file sharing.


The expected deliverables will include the following:

  • Attendance in analysis planning meetings with CM4FP team
  • Attendance in meetings or presentations with the donor or with other external parties, where requested by the CM4FP team
  • Written analysis plan for any agreed analysis, highlighting the consultant’s technical input
  • and recommendations for design and/or refinement of geospatial analysis tasks
  • Written report of any analyses undertaken and results produced; to include:
    • Analytical approach undertaken
    • Working and final maps and spatial visualization corresponding to any analysis undertaken. The extent and refinement of outputs will be dependent on the intended use (e.g., documentation, presentation) and level of
    • Consultant should recommend and design clear and impactful spatial visualizations of key findings.
    • Clear and accurate data tables to present quantitative results of geospatial analyses.
    • Tables will accompany visual presentations to summarize and describe the underlying data.
  • Final presentation to the CM4FP team (and/or to Gates) of analysis work and findings
  • PowerPoint presentation slide deck of analytical approach and key findings for specific analysis questions, where desired by the CM4FP team
  • Contribution to publishable manuscripts and other deliverables which include methodology and results of the geospatial an Tasks may include writing sections of the manuscripts and reviewing and editing drafts.
  • Clear and well-organized final datasets and GIS files generated by the above
  • Stata do file syntax and log files as applicable

Anticipated contract period and level of effort

The current anticipated timeline for this consultancy is January 2021 – July 2021. A tentative schedule is below.



Recruitment and contracting

January 2021

Analysis conceptualization

February 2021

Implementation of analysis

February – April 2021

Reporting & publications

May – July 2021

Given that the analysis plan is not fully in shape yet, there is no certainty currently on the level of effort expected. However, it is anticipated that the work will require up to 0.5 FTE during the months of engagement. The CM4FP team is willing to consider bringing on board more than one consultant to help with a defined portion of the tasks, depending on skillset and availability. Please indicate your availability and proposed level of effort in your application.



The ideal consultant will have at least 3-5 years of experience in geospatial analysis and cartography in public health (ideally Masters level in Geography or other social sciences, or equivalent experience), or an institution/firm with a combination of GIS specialists and public health professionals. Experience with accessibility analysis is a bonus.

Deadline for submissions and key contact

All applications should be submitted by Friday, January 15, 2021. The main point of contact for the study is Dr. Nkemdiri Wheatley, CM4FP Principal Investigator. She can be reached at Questions about the application process should be directed to Mark Conlon, Research & Program Analyst, at

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