Wildfire Analytics Dashboard
Overview
Streamlit Dashboard Link: Click me
Timeline: Winter 2026
Role: UX Designer
Team: 3 members
Tools: Python, Streamlit, Data Visualization, Dashboard Design
Designed an interactive dashboard analyzing wildfire data from 1881-2025 to support environmental research and decision-making.
Problem
Researchers face challenges in:
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Analyzing long-term wildfire trends
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Comparing data across regions
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Interpreting multiple climate variables
Goal
Create a data visualization tool that:
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Simplifies complex datasets
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Enables efficient cross-country analysis
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Supports data-driven insights
Stakeholders
- Climate researchers
- Environmental analysts
Data & Scope
Global Wildfires & Climate Dataset (1881–2025)
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140+ years of wildfire data
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13 countries
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Variables: burned area, fire count, temperature, humidity, wind speed
Design Process
Initial Design: Basic charts and maps with focus on functionality.
User Feedback: Lacked novelty, limited interactivity, needed better readability.
Iteration & Improvements
- Added tooltips for detailed insights
- Refined chart types for clarity
- Introduced a thematic color palette
- Improved filtering for better comparisons
Outcome
- Enhanced usability and engagement
- Improved data interpretation efficiency
- Enabled clearer cross-region comparisons
Reflection
Key Learning
Functionality alone is not enough—engagement matters. Visual hierarchy strongly impacts comprehension.
Product Thinking
Users need both overview + detail-on-demand. Iteration based on feedback is essential.
Ethical Consideration
Early data (1881-1950) relies on simulations. Transparency about data limitations is critical.