Geospatial analysis for social assessment
Geospatial analysis connects project activities with the places, resources and services on which people depend. It supports scoping, comparison of alternatives, fieldwork and monitoring. Combine mapped observations with social inquiry to explain who uses an affected place, how access is obtained and what a change would mean for their lives.
Community mapping can also support people's own priorities, land-use proposals and negotiations. Establish participants' role in defining questions, interpreting evidence and controlling its use. The spatial analysis topic connects this method with detailed baseline workflows, country notebooks and applications.
Define the geography around the impact
Start with an impact pathway: a project activity changes a resource or condition, the change reaches particular users, and those users experience consequences. Draw the study boundary around that relationship and revise it as evidence develops. IFC Performance Standard 1 provides for an area of influence encompassing specified project, associated, induced and cumulative effects; apply the requirements governing the investment (IFC, 2012).
| Assessment question | Spatial approach | Evidence for interpretation |
|---|---|---|
| Who may lose land or resource access? | Intersect designs with assets, use areas and routes | Occupancy, tenure, seasonal use and livelihood dependence |
| Whose access to services may change? | Compare routes and service catchments | Travel modes, costs, capacity and barriers to use |
| Who may experience exposure? | Relate validated exposure models to activity locations | Time spent there, vulnerability and specialist evidence |
| Where do developments create shared pressure? | Examine common roads, water sources and services | Other developments, background trends and institutional capacity |
| Which investments meet community priorities? | Compare locally defined alternatives | Distribution of benefits, recurrent costs and management |
Use buffers for screening where appropriate, documenting their relationship to the mechanism and the sensitivity of findings to the chosen distance. Households beyond a construction boundary may depend on paths or resources within it. The area of influence and impact analysis discussions develop these connections.
Assemble a consistent spatial baseline
Maintain identifiers for administrative areas, settlements, project components and survey observations. Record producer, observation and publication dates, geographic vintage, coordinate reference system, resolution, coverage, definitions, validation and permitted use. Document crosswalks between administrative editions and retain unmatched records.
Check geometry, alignment, units and join cardinality. One household may use several parcels; one parcel may support several users. Preserve these relationships when summarizing affected people. Use a suitable projected or geodesic method for distances and areas. For rasters, establish whether values are counts, densities, categories or continuous measurements; choose aggregation and resampling that preserve their meaning.
WorldPop's products use different estimation methods and input data. Its gridded estimates can support reconnaissance or sampling allocation; household identification requires an appropriate listing and field verification (WorldPop methods). Retain the geographic support of census statistics and distinguish area-level context from individual observations.
The spatial baseline guide provides the detailed operations. Connect them to questionnaire and fieldwork design, the Maluku survey discussion, Nepal district evidence and Bhutan demographic analysis.
Map with communities
Agree the purpose, participants, ownership, access and intended audience before collecting local knowledge. Select usable methods: sketch maps, printed imagery, field walks, participatory models or digital mapping. IFAD's review compares these approaches and their enabling conditions (Corbett, 2009).
Provide opportunities for tenants, informal and seasonal users, women and other relevant groups to contribute and review interpretations. Timing, language, mobility and local authority affect participation. Retain local names and explanations, record disagreement, and check digital interpretations with contributors. Document recruitment and coverage when interpreting concentrations of mapped points (Chambers, 2006; Brown and Kyttä, 2014).
Evaluate the process through its contribution to decisions, local capabilities and equitable access to resources. McCall and Minang's Cameroon study examines these outcomes explicitly. The historical Mapping Communities volume and Deddy's Kalimantan chapter also show why ownership and institutional context matter. These examples support inquiry into current local arrangements, with contemporary legal and field review.
Represent rights and livelihood dependence
Residence, cultivation, grazing, collection, passage and cultural use can involve different holders and overlapping or seasonal rights. Record the type of claim or use, timing, supporting account, verification status and disagreements. Identify whether a boundary is administrative, cadastral, customary, proposed or disputed.
Spatial intersections identify relationships for further investigation. Establish affected users and the consequences of changed access through a census, tenure inquiry, livelihood research and engagement appropriate to the issue. IFC Performance Standards 5 and 7 address displacement and Indigenous Peoples respectively, including specified circumstances requiring FPIC. The FPIC discussion provides related definitions and sources.
Examine dependencies as well as area affected. A small site may contain the only water point, a crucial seasonal resource or the crossing that connects several livelihood activities.
Analyze access and compare alternatives
Model journeys along usable networks, or use a locally tested travel-cost surface where movement crosses terrain and unmapped paths. Compare baseline conditions, construction stages, completed designs and mitigation options. State travel mode, season, crossing assumptions, population denominator and the rationale for any accessibility threshold. Validate selected journeys with users.
WHO's AccessMod distinguishes physical accessibility from geographic coverage constrained by service capacity. This is useful when assessing additional demand: model both the journey and the service available at its destination (WHO AccessMod). Examine transport expense, safety and differences between affected groups alongside modeled times.
For illustration, suppose a proposed road increases one household's one-way journey to fields from 20 to 45 minutes. One return journey on each of 120 working days implies 2 × (45 − 20) × 120 ÷ 60 = 100 additional hours per year. This synthetic calculation describes a time burden under stated assumptions. Establish journey frequency, seasonal conditions and consequences for production before estimating income effects or valuing assistance. Compare alternative crossings with residents and verify access after construction.
For multi-criteria comparisons, publish the criteria, units, weights and individual results. Assess rights, applicable requirements and feasibility as explicit conditions. Test rankings under plausible preferences and input uncertainty (Malczewski, 2006).
Assess change, scale and uncertainty
Imagery can reveal changes in land cover, structures and infrastructure. Check acquisition seasons, clouds, sensor differences, alignment and classification definitions. Quantitative land-change estimates need a suitable reference sample, accuracy assessment and uncertainty analysis; Olofsson and colleagues explain how sampling, reference classification and estimation work together (Olofsson et al., 2014).
Interpret change using project records, resource-use observations, interviews and relevant environmental or economic evidence. Attribute outcomes through a defensible comparison design that considers background trends and spillovers. Link the analysis to impact analysis and sampling and analysis.
Test the effect of alternative spatial units, exposure definitions and travel assumptions. Keep unknown values distinct from zero. Household circumstances require household evidence; district averages describe the district. Investigate activity locations and timing alongside residence: Kwan's uncertain geographic context problem explains why the geography and duration assigned to an exposure can affect findings (Kwan, 2012).
Share usable maps and retain the evidence
Agree who can collect, view, interpret, correct and share community information. The CARE Principles address collective benefit, authority to control, responsibility and ethics in Indigenous data governance (Carroll et al., 2020). Prepare public and controlled analytical outputs according to these arrangements. Review whether aggregation or generalized geometry adequately protects distinctive places and small populations.
Give each map a defined measure, analytical unit, dates, sources, readable legend and textual or tabular account. Distinguish observed, reported and modeled information. Return usable printed or offline outputs where needed, and provide a way to challenge and correct interpretations.
Retain source editions, processing steps, parameters, validation and design versions. Link findings to measures, responsibilities, timing and verification evidence. For cumulative assessment, follow the condition of shared resources and services alongside relevant developments (IFC cumulative impact handbook). The dataset curation guide connects provenance, access arrangements and reproducible analysis.
The map-sharing guide uses the Maluku and Nepal discussions to show how maps support source review and survey design. The interactive parcel example lets readers vary a restriction and examine its measured overlap with land use.
References and further reading
- Vanclay, F., Esteves, A. M., Aucamp, I. and Franks, D. (2015). Social Impact Assessment: Guidance for Assessing and Managing the Social Impacts of Projects. IAIA.
- IFC (2012). Performance Standards on Environmental and Social Sustainability. See PS1, PS5 and PS7 for the topics discussed above.
- Corbett, J. (2009). Good Practices in Participatory Mapping. IFAD. Original report endpoint.
- Chambers, R. (2006). Participatory Mapping and Geographic Information Systems: Whose Map? Who is Empowered and Who Disempowered? Who Gains and Who Loses?. EJISDC, 25, 1–11.
- Brown, G. and Kyttä, M. (2014). Key Issues and Research Priorities for Public Participation GIS. Applied Geography, 46, 122–136. Authors' paper.
- Deddy, K. (2006). Community Mapping, Tenurial Rights and Conflict Resolution in Kalimantan. In State, Communities and Forests in Contemporary Borneo, chapter 5.
- Olofsson, P., et al. (2014). Good Practices for Estimating Area and Assessing Accuracy of Land Change. Remote Sensing of Environment, 148, 42–57. Institutional manuscript record.
- Malczewski, J. (2006). GIS-based Multicriteria Decision Analysis: A Survey of the Literature. International Journal of Geographical Information Science, 20(7), 703–726.
- McCall, M. K. and Minang, P. A. (2005). Assessing Participatory GIS for Community-based Natural Resource Management. The Geographical Journal, 171(4), 340–356. DOI.
- Fox, J., Suryanata, K., Hershock, P. and Pramono, A. H. (2006). Mapping Power: Ironic Effects of Spatial Information Technology. Participatory Learning and Action, 54, 98–105. Paper.
- Carroll, S. R., et al. (2020). The CARE Principles for Indigenous Data Governance. Data Science Journal, 19, article 43.
- Kwan, M.-P. (2012). The Uncertain Geographic Context Problem. Annals of the Association of American Geographers, 102(5), 958–968. Author's paper.
- IFC (2013). Good Practice Handbook on Cumulative Impact Assessment and Management.
- Fox, J., Suryanata, K. and Hershock, P., editors (2005). Mapping Communities: Ethics, Values, Practice. East-West Center.
- Kurniawan, I. and Hanafi, I. (2004). Community Mapping, Natural Resources and Indigenous People Movement in Indonesia. JKPP workshop paper, 8–10 November.
- Jennings, S. and Jarvie, J. (undated, version 1). A Sourcebook for Landscape Analysis of High Conservation Value Forests. ProForest; a historical assessment resource.
WorldPop and WHO's live methods resources are linked beside their uses above. The methods references retain the wider source collection and managed archive connections.