GIS for Monitoring SDGs and National Indicators Training Course

Course Introduction

Monitoring Sustainable Development Goals (SDGs) and national development indicators requires robust data systems that integrate spatial, statistical, and real-time information. GIS provides a critical framework for visualizing progress, identifying gaps, and supporting evidence-based policy decisions at national and local levels.

This course introduces participants to the use of GIS for tracking SDG indicators, national performance metrics, and development targets across sectors such as health, education, environment, infrastructure, and economic growth. It emphasizes spatial data integration for development monitoring systems.

Participants will learn how to design geospatial indicator frameworks that align with global SDG reporting standards and national development plans. The training focuses on transforming raw datasets into actionable spatial insights that support governance, planning, and accountability.

A strong focus is placed on building spatial dashboards and monitoring systems that visualize progress toward SDG targets in real time. Participants will explore how geospatial technologies improve transparency and enhance development reporting at multiple administrative levels.

The course also covers advanced tools such as cloud GIS, automated data pipelines, remote sensing integration, and AI-driven analytics. These technologies enhance the accuracy, efficiency, and scalability of SDG monitoring systems across institutions.

By the end of the course, participants will be able to develop GIS-based SDG monitoring frameworks, create indicator dashboards, and support national and international reporting processes with high-quality geospatial analysis.

Duration
10 days

Who Should Attend

• Government planning officers responsible for national development monitoring and reporting systems
• GIS and remote sensing professionals involved in SDG data collection and spatial analysis
• Policy analysts working on development indicators and performance evaluation systems
• Monitoring and evaluation (M&E) specialists in government and development organizations
• Data scientists working with national statistics and geospatial datasets
• NGO professionals engaged in SDG implementation and sustainability programs
• Urban and regional planners integrating SDG indicators into development frameworks
• Public health and education data analysts working with spatial development metrics
• Environmental officers monitoring sustainability and climate-related indicators
• International development consultants supporting SDG reporting frameworks
• Academic researchers studying development indicators and geospatial systems
• ICT professionals developing dashboards and data platforms for government reporting

Course Objectives

• Equip participants with in-depth knowledge of GIS applications in monitoring SDGs and national development indicators across multiple sectors effectively.
• Enable learners to design spatial indicator frameworks aligned with global SDG targets and national development planning systems.
• Develop skills in integrating statistical, survey, and geospatial datasets for comprehensive development monitoring and reporting systems.
• Strengthen capacity to analyze spatial disparities in development outcomes using GIS-based visualization and modeling techniques.
• Provide expertise in building real-time dashboards for monitoring SDG progress across administrative and geographic levels.
• Enhance ability to integrate remote sensing and Earth observation data into national indicator monitoring systems.
• Build proficiency in spatial data management for large-scale development tracking and reporting frameworks.
• Enable participants to produce policy-relevant geospatial reports supporting evidence-based decision-making processes.
• Strengthen understanding of data quality assurance and validation for SDG indicator reporting systems.
• Develop skills in using cloud GIS and automation tools for scalable development monitoring systems.
• Prepare participants to support national statistical offices and development agencies with geospatial analytics.
• Enhance ability to communicate SDG progress using interactive maps, dashboards, and visualization tools.

Comprehensive Course Outline

Module 1: Introduction to SDGs and National Indicators

• Understanding SDG frameworks and national development indicator systems effectively
• Exploring the role of GIS in sustainable development monitoring systems
• Overview of global reporting requirements and indicator alignment processes
• Emerging trends in geospatial development monitoring systems

Module 2: Fundamentals of GIS for Development Monitoring

• Understanding GIS principles for development planning and monitoring systems effectively
• Managing spatial datasets for socio-economic and environmental indicators
• Coordinate systems and spatial referencing in national datasets
• Enhancing spatial analysis for development tracking systems

Module 3: Data Sources for SDG Monitoring

• Identifying key data sources for SDG and national indicator tracking effectively
• Integrating census, survey, and administrative datasets into GIS systems
• Using remote sensing data for development monitoring applications
• Enhancing data integration across multi-sectoral development systems

Module 4: Spatial Indicator Design

• Designing spatial indicators for SDG monitoring and evaluation effectively
• Translating development goals into measurable geospatial metrics
• Structuring indicator frameworks for national reporting systems
• Enhancing indicator standardization for development tracking

Module 5: Poverty and Inequality Mapping

• Mapping poverty distribution using geospatial analysis techniques effectively
• Identifying inequality patterns across regions using GIS tools
• Integrating socio-economic datasets into spatial analysis systems
• Enhancing targeted development interventions using spatial data

Module 6: Health and Education Indicators

• Monitoring health and education indicators using GIS systems effectively
• Mapping access to healthcare and educational facilities spatially
• Analyzing disparities in service delivery using geospatial tools
• Enhancing social development planning using spatial analysis

Module 7: Environmental SDG Monitoring

• Tracking environmental sustainability indicators using GIS effectively
• Monitoring land use, water, and climate indicators spatially
• Integrating environmental datasets into SDG reporting frameworks
• Enhancing sustainability planning using geospatial analysis

Module 8: Economic Development Indicators

• Mapping economic activity and development patterns using GIS effectively
• Analyzing employment, income, and infrastructure indicators spatially
• Integrating economic datasets into national monitoring systems
• Enhancing economic planning using geospatial intelligence

Module 9: Infrastructure and Urban Development

• Monitoring infrastructure development using spatial analysis tools effectively
• Mapping urban growth and service accessibility indicators
• Integrating infrastructure datasets into SDG reporting systems
• Enhancing urban planning using geospatial analytics

Module 10: Spatial Data Integration Techniques

• Integrating multi-source datasets for SDG monitoring systems effectively
• Harmonizing statistical and spatial data for reporting frameworks
• Enhancing interoperability between national data systems
• Supporting integrated development monitoring platforms

Module 11: Spatial Statistics for Indicators

• Applying spatial statistical methods for indicator analysis effectively
• Identifying spatial trends in development outcomes
• Enhancing predictive modeling for SDG progress tracking
• Supporting data-driven development decision systems

Module 12: Remote Sensing for SDGs

• Using satellite imagery for SDG monitoring applications effectively
• Tracking environmental and land use changes over time
• Integrating Earth observation data into indicator systems
• Enhancing large-scale monitoring capabilities using remote sensing

Module 13: AI and Predictive Analytics

• Applying AI models for SDG forecasting and trend analysis effectively
• Automating indicator classification and detection systems
• Enhancing predictive development modeling using machine learning
• Supporting intelligent decision-making systems for development

Module 14: Cloud GIS for SDG Monitoring

• Using cloud GIS platforms for scalable SDG data management effectively
• Processing large national datasets in distributed environments
• Enhancing collaboration through web-based geospatial platforms
• Supporting real-time development monitoring systems

Module 15: Dashboards and Visualization

• Designing interactive SDG dashboards for monitoring systems effectively
• Creating maps and visual tools for indicator communication
• Enhancing stakeholder engagement through visualization systems
• Supporting policy communication using geospatial dashboards

Module 16: Future of SDG Monitoring Systems

• Exploring emerging geospatial technologies for development monitoring effectively
• Understanding digital transformation in national indicator systems
• Preparing for AI-driven and automated SDG reporting systems
• Advancing innovation in geospatial development governance systems

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.