Showcasing Hovering Wildfire Counts With Streamlit and Python: A Highly effective Strategy | by John Loewen, PhD | Jan, 2025
Analyzing historic wildfire tendencies in Canada with public information
Python Streamlit is terrific for creating interactive maps from a GIS dataset.
Interactive maps that permit enter out of your viewers can be utilized for deeper evaluation and storytelling.
Python Streamlit is the appropriate device for the job. It may be used alongside the pandas for straightforward information body creation and manipulation.
Let’s take a look at this out with a deep and detailed dataset on a really prescient difficulty — the seeming escalation of wildfires. There’s a terrific public wildfires dataset obtainable on the location managed by Pure Sources Canada.
With this detailed dataset let’s take a modular method to our information evaluation and create:
- A static map that exhibits all forest fires in Canada for a time frame (ie. a specific 12 months).
- An interactive map that permits the person to pick out a shorter time frame (ie. a dropdown menu by 12 months) to view extra granular information.
- A bar chart that exhibits extra granularity —the variety of fires at a provincial stage.
