Course overview
The GIS & Spatial Data Analytics for NGOs and Development Projects Training Workshop equips development professionals with practical skills to collect, manage, analyse, visualise and interpret geospatial data for evidence-based planning, programme implementation, monitoring, evaluation and impact assessment. The course demonstrates how Geographic Information Systems (GIS), remote sensing, spatial statistics, satellite imagery, GPS data and interactive mapping can help organisations understand where needs are greatest, identify underserved communities, allocate resources efficiently and measure the geographical reach and impact of development interventions.
Participants learn to integrate spatial data with socioeconomic, demographic, environmental, health, education, agricultural, humanitarian and infrastructure datasets to support project design, vulnerability assessment, service accessibility analysis, disaster risk mapping and development planning. The programme also explores AI-assisted geospatial analysis, cloud-based mapping, mobile data collection, spatial dashboards and automated geospatial workflows.
Course objectives
- Apply GIS principles and spatial data analytics to development planning, programme implementation and evidence-based decision-making.
- Develop practical GIS workflows and spatial reporting products that strengthen donor reporting, programme accountability, resource allocation and development impact assessment.
- Use GIS dashboards, thematic maps, spatial indicators and satellite-derived information to monitor project coverage, outcomes and geographical impact.
- Conduct spatial analysis to identify vulnerable populations, underserved locations, service gaps, geographic inequalities and priority intervention areas.
- Collect, manage, clean and integrate geospatial data from GPS devices, mobile surveys, administrative datasets, satellite imagery and open geospatial sources.
Who should attend
NGO programme managers, project officers, GIS analysts, monitoring and evaluation specialists, MEAL officers, development planners, humanitarian response teams, research officers, data analysts, public health programme officers, agriculture and food security specialists, climate change practitioners, disaster risk reduction officers, infrastructure development teams, donor-funded project coordinators, field data collection teams, impact assessment consultants, development researchers.
Course content
- Module 1: Foundations of GIS and Spatial Data Analytics in Development Fundamentals of geographic information systems, the role of GIS in international development, spatial thinking and geographic decision-making, applications in NGO programme management
- Module 2: Geospatial Data Sources, Collection and Integration Administrative boundaries and census data, population and demographic datasets, GPS coordinates and field mapping, mobile data collection, open geospatial datasets, satellite imagery sources,
- Module 3: GIS Software, Spatial Databases and Data Management Introduction to QGIS and ArcGIS, project setup and layer management, spatial data import and export, attribute tables and field calculations, joins and spatial joins, geospatial file organisat
- Module 4: Cartography, Thematic Mapping and Development Visualisation Cartographic principles, map scale and layout, map projections and coordinate systems, map symbology and classification methods, choropleth mapping, proportional symbol maps, point-den
- Module 5: Spatial Statistics and Geographic Pattern Analysis Descriptive spatial statistics, spatial distributions and clustering, density estimation, kernel density mapping, hotspot and coldspot analysis, spatial autocorrelation, Moran's I, Getis-Ord Gi
- Module 6: Population Mapping, Vulnerability Assessment and Needs Analysis Population distribution and demographic mapping, census data integration, population density estimation, poverty and deprivation mapping, multidimensional vulnerability indicators,
- Module 7: Accessibility Analysis and Geographic Service Coverage Proximity and buffer analysis, distance calculations, service catchment analysis, nearest-facility analysis, road and transport network analysis, travel-time modelling, accessibility to hea
- Module 8: Remote Sensing and Satellite Imagery for Development Monitoring Principles of remote sensing, satellite imagery characteristics, spatial, temporal and spectral resolution, optical and radar satellite data, Sentinel and Landsat imagery, land-use
- Module 9: GIS for Monitoring, Evaluation, Accountability and Learning (MEAL) Integrating GIS into project results frameworks, geospatial indicators, mapping project outputs and outcomes, baseline and endline spatial comparisons, monitoring beneficiary an
- Module 10: GIS for Humanitarian Response, Disaster Risk and Climate Resilience Hazard, exposure and vulnerability mapping, flood and drought risk assessment, emergency needs mapping, disaster impact assessment, evacuation and response planning, humanitar
- Module 11: GIS for Health, Education, Agriculture and Infrastructure Projects Public health facility mapping, disease surveillance and geographic risk mapping, immunisation coverage analysis, school accessibility and education inequality mapping, agricul
- Module 12: Spatial Data Analytics with Python, AI and Machine Learning Introduction to Python for geospatial analysis, GeoPandas, Shapely, Rasterio and Folium, automating repetitive GIS tasks, spatial data cleaning and transformation, spatial aggregation
- Module 13: Cloud GIS, Web Mapping and Interactive Spatial Dashboards Web GIS concepts, interactive maps, spatial data services, web mapping applications, QGIS and web GIS workflows, ArcGIS Online and ArcGIS Enterprise concepts, GeoServer and Open Geospat
- Module 14: Geospatial Project Design, Data Governance and Donor Reporting Developing a GIS work plan for a development project, identifying spatial information needs, selecting appropriate data sources, preparing a geospatial data management plan, design
- Module 15: Capstone — Developing a GIS-Based Development Project Decision-Support System Defining a development problem and geographic study area, preparing project and beneficiary datasets, selecting relevant socioeconomic and environmental indicators
General notes
- Practical Exercises and Case Studies Map NGO project implementation sites and beneficiaries against administrative boundaries. Integrate household survey data with GPS coordinates and socioeconomic indicators. Develop a poverty, vulnerability or multidimensional needs assessment map. Identify communities with poor access to health facilities, schools, water points or agricultural services. Conduct hotspot analysis to identify priority geographic areas for intervention. Use satellite imagery to assess land-cover change, drought conditions or flood impacts. Develop a geospatial MEAL framework with geographic indicators and baseline comparisons. Map humanitarian needs and identify priority locations for emergency response. Use Python to clean geospatial data and automate a basic spatial analysis workflow. Develop an interactive project coverage dashboard for programme managers and donors. Produce a donor-ready thematic map, analytical report and GIS project documentation.
- Expected Practical Outputs GIS project plan, geospatial data inventory, spatial data collection template, cleaned geospatial dataset, administrative boundary map, beneficiary distribution map, project implementation location map, stakeholder and service location map, population distribution map, poverty or vulnerability map, spatial hotspot analysis, service accessibility map, travel-time or proximity analysis, land-use and land-cover map, satellite-based change assessment, GIS-enabled MEAL framework, geospatial indicator reference sheet, project coverage dashboard, interactive web map, spatial database design, Python geospatial analysis notebook, geospatial data management plan, spatial data privacy checklist, donor-ready thematic map, spatial analysis report, development project priority map and GIS-based decision-support presentation.
Frequently asked questions
1. 1. Who should attend this GIS and Spatial Data Analytics training?
The workshop is suitable for NGO project managers, GIS professionals, MEAL officers, monitoring and evaluation specialists, development planners, humanitarian response teams, research officers, public health specialists, agriculture and climate practitioners, and consultants working on donor-funded development projects.
2. 2. Do participants need prior GIS experience?
Basic computer skills and familiarity with development projects are sufficient for the introductory sessions. The workshop progresses from GIS fundamentals to practical spatial analysis, mapping, dashboards and selected AI-assisted workflows. Participants with existing GIS experience can undertake more advanced exercises.
3. 3. Which GIS software will be used during the training?
The programme can use QGIS, PostGIS, Python, KoboToolbox, Google Earth Engine and Power BI, depending on the learning objectives. ArcGIS and other enterprise platforms can be incorporated where participants or sponsoring organisations have access to the required licences.
4. 4. How does GIS improve NGO project monitoring and donor reporting?
GIS helps organisations demonstrate where activities are implemented, which communities are reached, how services are distributed geographically and where important coverage gaps remain. Spatial maps and dashboards can complement financial and results reports with geographically referenced evidence, provided the underlying data is accurate and appropriately interpreted.
5. 5. How long does the training workshop take?
A recommended duration is five days, combining instructor-led sessions, guided practical exercises, sector-based case studies and a capstone project. The programme can be customised for shorter introductory workshops or advanced GIS, remote sensing and spatial analytics training.
6. 6. Can the course be customised for a specific development sector?
Yes. The training can be tailored to health, education, agriculture, food security, water and sanitation, climate resilience, environmental conservation, infrastructure, livelihoods, humanitarian response, refugee support or multi-sector development programmes.
Schedule & fees
| Dates | Location | Duration | Fee (USD) |
|---|
| 04/01/2027 - 15/01/2027 |
Mombasa,Kenya |
5 Days |
$2,000 |
| 07/06/2027 - 18/06/2027 |
Nairobi,kenya or Virtual |
5 Days |
$2,000 |
| 05/07/2027 - 16/07/2027 |
Naivasha,Kenya |
5 Days |
$2,000 |