pFRID 2023: Significant Fire Regime Departures

Masked to Highlight Statistically Significant Deviations

Published by
Vibrant Planet
Last updated on
March 6, 2025

About

This dataset provides Percent Fire Return Interval Departure (pFRID) estimates based on Vibrant Planet's 2023 analytical approach, with data masked to highlight areas of significant departure. Using a p-value derived from a binomial distribution, the dataset only includes pixels where the null hypothesis significance test yields values ≤ 2.5% or ≥ 97.5%. This masking ensures that the dataset focuses on areas with statistically significant deviations from historical fire frequencies, offering a targeted resource for land managers and researchers.

The dataset spans 17 western U.S. states, with partial coverage in 5 additional states, providing actionable insights for wildfire management and ecological restoration efforts.

The dataset available for download below corresponds to the findings presented in the publication, " which details the methodology, analysis, and key insights.

For a deeper dive, access the full publication HERE, or read a summary on Vibrant Planet's blog.

Selected Data Tiles: 

Download

pFRID 2023: Significant Fire Regime Departures

Highlights statistically significant fire regime deviations, masking areas with p-values ≤ 2.5% or ≥ 97.5%.

1.1
GB

Direct Download (Full File) - HTTPS Link

Use this link to download the entire file directly to your local storage through the browser. This method is ideal for quick and easy access but requires sufficient local storage and bandwidth for the full download.

What’s inside

Direct Access

Get hands-on access to this dataset using interactive notebooks. Choose between the Google Colab notebook for quick exploration in your browser or access the hosted Jupyter Notebooks via Binder or GitHub for more advanced workflows.

Direct access to the Google Collab notebook

Open and explore instantly

Click the button to the left to launch an interactive notebook directly in your browser. This pre-configured Colab notebook provides a quick and easy way to explore, visualize, and analyze the data—no setup required.

GitHub hosted Jupyter Notebooks

Flexible access for advanced workflows

Access the full collection of Jupyter Notebooks hosted on GitHub. These notebooks can be used on your local machine or via cloud platforms like Binder or Google Colaboratory, providing flexibility for more advanced customizations.