Introduction

Global Climate and Wildfire Data Visualization

This project explores how climate indicators and wildfire signals co-evolve across temporal, spatial, country-level, correlation, and text perspectives. We combine yearly climate summaries, sampled global wildfire detections, and wildfire-related language data into five coordinated interactive views.

Project Focus

We study wildfire activity under changing climate conditions using three global signals: CO2 emissions, annual temperature, and precipitation.

Core Questions

How do wildfire detections change across years, months, and days?
Do long-term climate indicators move with wildfire activity trends?
How do country-level CO2 and temperature-change patterns differ by region?
Which climate-wildfire variable pairs show stronger correlations?
What sentiment and themes appear in wildfire-related social media text?

Data Assets

data/preprocessed/wildfire_count_by_year_type.csv yearly wildfire counts by fire/source type
data/preprocessed/vis2/fire_points_YYYY.csv sampled geospatial wildfire points for map/globe playback
data/preprocessed/global_co2_by_year.csv global yearly CO2 totals
data/preprocessed/global_tem_by_year.csv global yearly temperature summary
data/preprocessed/global_precip_by_year.csv global yearly precipitation summary
data/co2/owid-co2-data.csv country-level CO2, population, and temperature-change metrics
data/preprocessed/vis5/sentiment_analysis_wildfire_cleaned.csv wildfire text frequency + sentiment pairs