Geospatial Storytelling
Transforming complex spatial data into compelling, narratives. D-course by Myae Pone.
10
Weeks
3
Core Toolsets
1
Capstone Project
Course Overview
This section introduces the fundamental goals of the course. It outlines what you will be able to achieve upon completion, visualized through an interactive chart that breaks down the core competencies you will develop.
Course Description
This elective course introduces students to the burgeoning field of geospatial storytelling, an art form that leverages interactive maps and geographic information systems (GIS) to convey compelling narratives. It emphasizes the critical role of design, communication, and ethical considerations in transforming complex spatial data into accessible and engaging stories.
Students will learn a "pipeline" approach—from data acquisition to narrative construction—using industry-standard tools. The goal is to bridge the gap between technical GIS analysis and the need for broader public and stakeholder engagement, enhancing your professional impact.
Learning Objectives
The Storyteller's Toolbox
This course is built around a hands-on approach with three core toolsets, progressing from accessible entry points to professional-grade platforms. Click on each tool to explore its role in the curriculum, its key features, and the types of stories you'll learn to create.
Curriculum Journey
The 10-week module is structured as a progressive journey, building skills week by week. The path below visualizes this progression. Click on any stage to see the specific topics and activities planned for that period.
Core Principles
Beyond tools, effective storytelling relies on fundamental principles of design and a strong ethical framework. This section covers the foundational knowledge that underpins every map and narrative you will create.
Cartographic Design
Effective maps are not just accurate; they are designed. We'll cover principles of visual hierarchy, symbology, color theory, and map projections to ensure your stories are clear, intuitive, and impactful. Design choices are narrative choices.
| Data Model | Representation | Strengths |
|---|---|---|
| Vector | Points, Lines, Polygons | High precision for discrete features, flexible for styling. |
| Raster | Grid Cells (pixels) | Excellent for continuous surfaces like elevation or imagery. |
Geospatial Ethics
With great data comes great responsibility. This course instills a strong ethical foundation, addressing issues of surveillance, privacy, bias, and the potential for misrepresentation. You will learn to collect, analyze, and visualize data in a way that minimizes harm and promotes social well-being.
- ✓Informed Consent
- ✓Data Minimization & Anonymization
- ✓Bias Awareness in Data & Algorithms
- ✓Transparency in Methods