GIS for Development Program Planning and Evaluation Training Course

Course Introduction

This GIS for Development Program Planning and Evaluation Training Course is designed to equip development practitioners, planners, and analysts with advanced geospatial skills for effective program design, implementation, and impact evaluation. The course focuses on integrating GIS into development workflows to enhance evidence-based planning, monitoring, and evaluation of projects across sectors such as health, education, agriculture, infrastructure, and governance. Participants will learn how spatial data improves transparency, accountability, and efficiency in development interventions.

The course provides a strong foundation in spatial data analysis techniques that support development planning at local, national, and regional levels. Learners will explore how GIS can be used to identify development gaps, map service delivery coverage, and analyze population needs. Emphasis is placed on translating spatial insights into actionable development strategies that improve resource allocation and policy targeting for maximum social impact.

Participants will gain hands-on experience with modern GIS tools used in monitoring and evaluation frameworks, including spatial indicators, performance mapping, and dashboard development. The training highlights how geospatial technologies can track project progress over time, assess intervention effectiveness, and support adaptive management in dynamic development environments. Real-world case studies demonstrate how GIS enhances donor reporting and results-based management systems.

The course also emphasizes integration of GIS with development data systems such as M&E databases, statistical platforms, and digital reporting tools. Learners will understand how spatial data enhances baseline surveys, impact assessments, and program evaluations. Special attention is given to data quality, indicator design, and spatial accuracy to ensure reliable and credible evaluation outcomes.

A key focus of the training is participatory development planning using GIS, enabling stakeholders and communities to engage in spatial decision-making processes. Participants will learn how to incorporate community mapping, participatory GIS, and crowd-sourced data into development planning frameworks. This ensures inclusive, transparent, and locally informed development interventions.

Finally, the program introduces advanced spatial analytics techniques including predictive modeling, geospatial AI, and cloud-based GIS systems for development evaluation. Participants will engage in practical exercises and project simulations that replicate real-world development scenarios. By the end of the course, learners will be able to design, implement, and evaluate development programs using powerful GIS-driven insights.

Duration
10 days

Who Should Attend

• Development program officers involved in planning, monitoring, and evaluation of projects
• GIS analysts supporting development data visualization and spatial decision-making systems
• Government planners working on policy design, resource allocation, and development strategy
• NGO professionals managing community development and donor-funded projects
• Monitoring and evaluation specialists responsible for performance tracking and impact assessment
• Public policy experts analyzing development indicators and spatial inequality trends
• Urban and regional planners involved in infrastructure and service delivery optimization
• Social researchers studying poverty, inequality, and development outcome patterns
• Donor agency staff responsible for evaluating project effectiveness and accountability
• Data scientists working with development datasets, spatial analytics, and reporting systems

Course Objectives

• Develop strong understanding of GIS principles and spatial data applications in development planning, monitoring, and evaluation frameworks across sectors
• Equip participants with skills to analyze spatial development indicators for identifying service gaps and planning targeted interventions effectively
• Enable integration of GIS with monitoring and evaluation systems for tracking project performance and impact over time using spatial analytics
• Strengthen capacity to design geospatial dashboards for visualizing development outcomes and supporting data-driven decision-making processes
• Build expertise in spatial data collection, validation, and management for reliable development program evaluation and reporting
• Enhance ability to conduct baseline, midline, and endline assessments using GIS-based spatial evaluation techniques and tools
• Introduce predictive spatial modeling methods for forecasting development trends and assessing future intervention outcomes
• Develop skills in participatory GIS for incorporating community input into development planning and decision-making processes
• Strengthen understanding of integrating GIS with statistical and M&E databases for comprehensive development analysis
• Enable application of spatial analysis techniques for equitable resource distribution and infrastructure planning in development contexts
• Build competence in using remote sensing and geospatial data for large-scale development monitoring and evaluation
• Prepare participants to design end-to-end GIS-based development evaluation systems for evidence-based policy formulation and reporting

Course Outline

Module 1: Foundations of GIS in Development Planning and Evaluation

• Introduction to geospatial thinking in development planning and monitoring frameworks across sectors
• Understanding spatial data types used in development program design and evaluation systems
• Overview of GIS applications in governance, service delivery, and development strategy planning
• Coordinate systems and mapping fundamentals for development-focused spatial analysis

Module 2: Spatial Data Collection for Development Programs

• Mobile GIS tools for collecting development indicators in field-based monitoring operations
• GPS-based data collection methods for accurate spatial development mapping and analysis
• Crowd-sourced mapping systems for participatory development data generation and validation
• Integration of field survey data into centralized development GIS platforms

Module 3: Remote Sensing for Development Monitoring

• Satellite imagery analysis for tracking infrastructure and land-use development changes
• Multi-temporal image analysis for monitoring program progress over time
• Drone-based data collection for localized development project assessments
• Integration of remote sensing with development indicator tracking systems

Module 4: Geospatial Data Management for Development Systems

• Designing geodatabases for structured storage of development indicators and spatial datasets
• Data cleaning and validation techniques for reliable development evaluation outputs
• Metadata management standards for development GIS interoperability and reporting
• Secure data handling practices for sensitive socio-economic development datasets

Module 5: Spatial Analysis for Development Planning

• Overlay analysis for identifying development gaps and service delivery inequalities
• Buffer and proximity analysis for accessibility studies in health, education, and infrastructure
• Spatial interpolation for estimating socio-economic indicators across regions
• Hotspot analysis for identifying underdeveloped or high-need areas

Module 6: Monitoring and Evaluation Using GIS

• Designing spatial indicators for development program monitoring and evaluation systems
• Tracking project performance using GIS-based dashboards and spatial reporting tools
• Baseline and endline analysis using geospatial datasets and evaluation frameworks
• Integrating GIS into results-based management systems for development projects

Module 7: Poverty and Inequality Mapping

• Spatial analysis of poverty distribution using socio-economic datasets
• Mapping inequality in access to services such as health, education, and infrastructure
• Identifying vulnerable populations through geospatial analysis techniques
• Development targeting strategies using spatial poverty mapping systems

Module 8: Health and Social Development GIS Applications

• Mapping healthcare access and facility distribution for development planning
• Disease surveillance and public health monitoring using spatial datasets
• Social service delivery analysis using geospatial evaluation frameworks
• Health outcome tracking using GIS-based monitoring systems

Module 9: Education and Human Capital Development Mapping

• Mapping school accessibility and educational infrastructure distribution
• Spatial analysis of education inequality and learning outcome disparities
• Planning educational resource allocation using GIS tools
• Monitoring education program impact using spatial analytics

Module 10: Infrastructure and Service Delivery Mapping

• Road network and transport infrastructure analysis for development planning
• Utility service coverage mapping including water, electricity, and sanitation
• Urban-rural infrastructure gap analysis using GIS techniques
• Optimization of service delivery using spatial decision models

Module 11: Agricultural and Rural Development GIS

• Agricultural productivity mapping using spatial datasets and remote sensing
• Rural development planning using land suitability and resource analysis
• Food security mapping using geospatial analytics techniques
• Climate impact assessment on rural development systems

Module 12: Environmental Integration in Development Planning

• Environmental impact analysis of development programs using GIS tools
• Land-use change detection for sustainable development monitoring
• Natural resource mapping for development planning integration
• Climate resilience planning using spatial datasets

Module 13: Participatory GIS and Community Mapping

• Community-based mapping for inclusive development planning processes
• Crowdsourcing spatial data for participatory development evaluation
• Stakeholder engagement using interactive GIS platforms
• Integration of indigenous knowledge into spatial planning systems

Module 14: Predictive Analytics for Development Evaluation

• Machine learning applications in predicting development outcomes
• Scenario modeling for future development planning and evaluation
• Statistical spatial analysis for development trend forecasting
• Big data integration for enhanced development decision systems

Module 15: Web GIS and Development Dashboards

• Development of interactive web GIS platforms for monitoring programs
• Real-time dashboards for development indicators and performance tracking
• Cloud-based GIS systems for collaborative development planning
• API integration for connecting development databases and GIS platforms

Module 16: Capstone Project in Development GIS Applications

• End-to-end GIS project design for development planning and evaluation
• Integration of multi-source datasets into development analysis workflows
• Presentation of spatial development findings for policy decision-making
• Professional portfolio development showcasing development GIS expertise

Training Approach          

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.