15 Topics
5 Days
Programme Overview
Training Description
M&E professionals working in development organizations
GIS specialists and analysts
Project managers involved in monitoring and reporting
Data visualization enthusiasts seeking to improve communication through maps and graphs
Government officials, non-profit organizations, and consultants involved in sustainable development and monitoring projects
Session Objectives
- Upon successful completion of the course, participants will be able to: Understand the importance of geospatial data visualization in M&E reports and decision-making. Master the use of GIS tools like ArcGIS and QGIS to analyze and visualize data. Create interactive and visually appealing maps, dashboards, and infographics that tell a compelling story. Develop clear visual narratives that highlight key trends, patterns, and insights from M&E data. Leverage data storytelling techniques to communicate project findings and recommendations to stakeholders and policymakers. Understand best practices in the design and presentation of M&E reports to enhance stakeholder engagement and understanding. Gain the ability to use geospatial analysis to support evidence-based decision-making in development projects. This course is designed to empower M&E professionals and data specialists with practical skills in geospatial data visualization and storytelling, ensuring they can deliver impactful, data-driven insights in their reports.
About the Course
Geospatial data visualization and storytelling are powerful tools that enhance the effectiveness of Monitoring and Evaluation (M&E) reports. This training course is designed to equip professionals with the skills needed to transform complex geospatial data into compelling visual narratives that communicate impact and insights effectively. Participants will learn to use leading tools such as GIS, ArcGIS, and QGIS to create interactive maps, dashboards, and reports that can influence decision-making processes in development projects and policies. In today’s data-driven world, effective data storytelling can significantly improve project outcomes by clearly presenting data trends and findings in an engaging, accessible format.
Curriculum & Topics
15 Topics | 5 Days
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Subtopic 1.1:
Overview of geospatial data in monitoring and evaluation (M&E)
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Subtopic 1.2:
The importance of data visualization in M&E reporting
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Subtopic 1.3:
Key principles of effective geospatial storytelling
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Subtopic 2.1:
Introduction to GIS and remote sensing tools
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Subtopic 2.2:
Exploring spatial data types and sources
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Subtopic 2.3:
Understanding spatial analysis techniques for M&E
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Subtopic 3.1:
Overview of GIS tools: ArcGIS, QGIS, and Google Earth Engine
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Subtopic 3.2:
Data integration and manipulation in GIS
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Subtopic 3.3:
Introduction to data visualization software for M&E reports
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Subtopic 4.1:
Cleaning and formatting geospatial data for visualization
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Subtopic 4.2:
Handling missing data and outliers
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Subtopic 4.3:
Preparing data for spatial analysis and mapping
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Subtopic 5.1:
Basic and advanced mapping techniques
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Subtopic 5.2:
Designing thematic maps to highlight key findings
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Subtopic 5.3:
Using color schemes and symbols for visual impact
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Subtopic 6.1:
Introduction to interactive dashboards using ArcGIS Online, Power BI, and Tableau
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Subtopic 6.2:
Creating dynamic maps and reports for effective storytelling
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Subtopic 6.3:
Embedding data visualizations in web-based platforms
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Subtopic 7.1:
Techniques for visualizing temporal trends using geospatial data
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Subtopic 7.2:
Using time-lapse maps and charts to illustrate changes over time
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Subtopic 7.3:
Best practices for presenting longitudinal data in M&E reports
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Subtopic 8.1:
Integrating statistical analysis with geospatial data
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Subtopic 8.2:
Visualizing relationships between geographic and non-geographic data
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Subtopic 8.3:
Creating scatter plots, histograms, and spatial regressions for M&E
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Subtopic 9.1:
Crafting a compelling narrative from data insights
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Subtopic 9.2:
Structuring your geospatial story for clarity and impact
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Subtopic 9.3:
Leveraging storytelling tools like ArcGIS StoryMaps and Power BI
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Subtopic 10.1:
Best practices for presenting geospatial data to non-technical stakeholders
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Subtopic 10.2:
Tailoring reports and presentations to diverse audiences
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Subtopic 10.3:
Creating accessible and actionable geospatial insights
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Subtopic 11.1:
Ensuring ethical use of geospatial data
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Subtopic 11.2:
Privacy and security concerns in geospatial visualization
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Subtopic 11.3:
Maintaining accuracy and integrity in data-driven narratives
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Subtopic 12.1:
Real-world examples of successful geospatial storytelling
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Subtopic 12.2:
Analyzing case studies of geospatial data in M&E projects
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Subtopic 12.3:
Learning from best practices in geospatial reporting
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Subtopic 13.1:
Using advanced visualization techniques like 3D maps and heatmaps
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Subtopic 13.2:
Visualizing large datasets and complex geospatial relationships
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Subtopic 13.3:
Interactive visualizations for project impact assessment
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Subtopic 14.1:
Combining geospatial data with survey data, financial data, and more
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Subtopic 14.2:
Techniques for multi-source data integration and visualization
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Subtopic 14.3:
Creating comprehensive M&E reports that integrate geospatial insights
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Subtopic 15.1:
Applying skills learned to create a full geospatial M&E report
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Subtopic 15.2:
Using geospatial tools to generate maps, dashboards, and visualizations
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Subtopic 15.3:
Presenting your geospatial story to an audience and receiving feedback
