Visualizing Scaling Wildfire Statistics with Streams and Python: A Powerful Approach | by John Loewen, PhD | January, 2025

Analyzes historical wildfire trends in Canada with public data

Python Broadcast is excellent at creating interactive maps from GIS datasets.

Interactive maps that allow input from your audience can be used for deeper analysis and storytelling.

Python Broadcast it is the right tool for the job. It can be used alongside the pandas for simple data structure and manipulation.

Let's explore this with an in-depth and detailed dataset on a very informative topic – the apparent increase in wildfires. There is an impressive public data set of wildfires available on a site managed by Natural Resources Canada.

With this detailed dataset let's take a modular approach to our data analysis and build:

• A static map which shows all forest fires in Canada for a specific period (ie a specific year).
• An interactive map that allows the user to select a shorter time period (ie. year drop-down menu) to view more granular data.
• A bar chart showing more granularity—the number of fires at the state level.