QGIS Mapping for Humanitarian Access and Service Planning Training Course

Course overview

Humanitarian teams need maps that answer operational questions quickly: which communities are beyond a two-hour travel threshold, where service coverage overlaps or leaves gaps, which routes remain viable after flooding, and how many people can reach a functioning health facility, water point, or distribution site. This course equips practitioners to turn fragmented assessment, population, road, facility, and administrative data into defensible access and service-planning maps for response coordination, programme targeting, and field deployment decisions.

Participants use QGIS to prepare humanitarian datasets, apply consistent geographic reference systems, join indicator tables to boundaries, assess travel constraints, and analyse proximity and coverage. They build maps for service availability, population exposure, access constraints, and priority locations using vector geoprocessing, raster terrain and hazard layers, spatial joins, buffers, network-informed travel assumptions, and map layouts designed for operational briefings. Attention is given to data provenance, Common Operational Datasets, protection-aware mapping, and communicating uncertainty rather than overstating precision.

The five-day programme combines instructor demonstrations with guided QGIS labs based on a realistic humanitarian response scenario. Participants work through a response-planning workflow from raw data intake to an operational map pack, then receive structured feedback on their analysis choices, symbology, and decision narrative. Each participant leaves with a completed QGIS project, documented data-processing workflow, service-access analysis, printable map layouts, and an action plan for applying the methods to their own programme area.

The course is suited to GIS officers, information management staff, programme teams, assessment specialists, and coordination personnel who already work with geographic or tabular response data and need stronger QGIS capability for humanitarian planning.

Course objectives

By the end of this course, participants will be able to:

• Prepare humanitarian administrative, population, facility, road, and assessment datasets in QGIS using valid coordinate reference systems and documented metadata
• Build reproducible QGIS projects with organised layers, joins, styles, processing models, and data-source records
• Calculate service catchments using buffers, travel-time assumptions, road networks, terrain constraints, and population overlays
• Identify underserved settlements through spatial joins, proximity analysis, coverage thresholds, and disaggregated population estimates
• Integrate KoboToolbox assessment exports with geographic boundaries and facility locations for rapid needs-mapping workflows
• Produce protection-aware access maps that suppress sensitive locations and communicate data limitations and uncertainty
• Design operational map layouts with clear symbology, scale, north arrows, source notes, inset maps, and decision-focused annotations
• Deliver a humanitarian access and service-planning map pack with an accompanying methodology note and priority-area recommendations

Benefits of attending

Target competencies

Who should attend

• GIS Officers — who must produce reliable access, coverage, and operational maps for response teams
• Information Management Officers — who combine assessment, population, and service data for coordination products
• Humanitarian Programme Managers — who need to target services and justify geographic priorities with evidence
• Needs Assessment Specialists — who must translate field findings into mapped severity and service-gap analysis
• Emergency Response Coordinators — who require clear geographic evidence for deployment and inter-agency planning
• Monitoring, Evaluation, Accountability and Learning Officers — who need to analyse programme reach against population and location data

Requirements and prerequisites

Participants should be comfortable working with spreadsheets and structured data, including columns, unique identifiers, basic filtering, and CSV files. Prior exposure to maps, administrative boundaries, GPS coordinates, or humanitarian datasets is useful. The course assumes participants can install and open desktop software and manage files on a laptop. Basic QGIS familiarity, such as adding a layer and navigating a map canvas, is recommended because the course moves quickly into analysis and map production. Programming, advanced statistics, remote-sensing expertise, and prior network-analysis experience are not required.

Training methodology

Instructor-led sessions introduce each QGIS workflow through short demonstrations, followed by guided individual labs using a simulated humanitarian response dataset. Participants clean Common Operational Dataset layers, import KoboToolbox exports, analyse service reach, and create maps for an operational planning meeting. Small-group reviews test assumptions about travel time, sensitive data, and priority criteria. Daily exercises build toward an individual access and service-planning map pack, and the final session includes peer critique and a practical implementation plan for participants’ own operational context.

Course outline

Day 1: Humanitarian geospatial foundations in QGIS

• Humanitarian information-management workflow and decision questions
• QGIS interface, project structure, and layer-management conventions
• Coordinate reference systems for local, national, and regional response mapping
• Common Operational Datasets and authoritative boundary selection
• Importing CSV, GeoPackage, shapefile, and web-based spatial data
• Data-quality checks for names, identifiers, geometry, and missing attributes
• Metadata, source attribution, and version-control practices for response maps

Workshop: Participants create a structured QGIS project from raw administrative boundaries, settlement locations, population estimates, road data, and service-facility records.

Day 2: Assessment data and service availability mapping

• Preparing KoboToolbox exports for geographic analysis
• Geocoding and validating point locations from field assessments
• Attribute joins using administrative codes and facility identifiers
• Categorising service functionality, capacity, and operational status
• Spatial joins for settlement-level service indicators
• Thematic mapping of needs, severity, and facility functionality
• Humanitarian symbology and accessible colour design for operational maps

Workshop: Participants join assessment and facility data to administrative areas and produce a service-functionality map for a response coordination briefing.

Day 3: Access and service-coverage analysis

• Buffer analysis for fixed-distance service catchments
• Travel-time assumptions and their operational limitations
• Road-network preparation and route-constraint attributes
• Terrain, rivers, flood zones, and seasonal barriers as access constraints
• Raster sampling and overlay for hazard-informed access analysis
• Population-in-catchment calculations using zonal and overlay methods
• Identifying underserved settlements through coverage-gap criteria

Workshop: Participants model access to functioning health facilities and produce a list and map of high-population settlements outside the agreed service threshold.

Day 4: Prioritisation and protection-aware operational mapping

• Multi-criteria spatial prioritisation for response locations
• Weighted overlay of population, needs, access, and service indicators
• Ranking administrative areas and settlements for intervention planning
• Sensitivity analysis for threshold and weighting choices
• Protection principles for sensitive locations and vulnerable populations
• Data minimisation, aggregation, and suppression in public-facing maps
• Communicating uncertainty, confidence, and evidence gaps

Workshop: Participants develop and test a transparent prioritisation model, then create a protection-aware priority-area map with documented assumptions.

Day 5: Operational map packs and reproducible delivery

• QGIS layout manager for briefing maps and printable products
• Map elements including legends, scale bars, insets, grids, and source notes
• Atlas generation for district or operational-area map series
• Processing toolbox workflows and reusable graphical models
• Exporting PDF, PNG, GeoPackage, and shareable project packages
• Methodology notes and quality-assurance checklists for map release
• Presenting geographic findings to programme and coordination stakeholders

Workshop: Participants complete and present an access and service-planning map pack, methodology note, and priority recommendation for the simulated response operation.

Tools & standards covered

QGIS, KoboToolbox, QField, OCHA Common Operational Datasets (CODs)

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions