pFRID 2023: Safford et al. Methodology
Historic Presettlement Fire Regimes for Baseline Comparison
About
This dataset provides Percent Fire Return Interval Departure (pFRID) estimates derived using Safford et al.'s methodology. The approach calculates fire regime deviations by comparing contemporary fire return intervals to historic presettlement averages. Historic data is sourced from literature reviews and expert-informed fire regime groups, offering foundational insights into fire frequency variability across California ecosystems.
Applied across the same geographic extent as Vibrant Planet's pFRID dataset, this version enables direct comparisons to evaluate improvements in statistical accuracy and planning relevance. This dataset supports land managers in assessing fire regime changes and informing restoration and wildfire management strategies.
How to Get Started:
- Explore the Map: Zoom and pan to locate your area of interest. The tile grid outlines the spatial boundaries of the dataset.
- Select Your Tiles: Click one or more tiles to highlight them. Each tile corresponds to a geographic area you can download.
- Review & Adjust: Use the checkboxes in the selection list to confirm or deselect tiles.
- Download Your Data: Click the "Download Data" button to bundle your selected tiles into a single ZIP file.
A Few Things to Keep in Mind:
- Download Limitations: For best performance, please select no more than 20 tiles per download. Larger selections may slow your browser or cause issues.
- Need more coverage? No problem—just download in smaller batches. All tiles use the same folder structure, so you can easily merge them later in your GIS software for seamless regional analysis.
- Working at larger scales? For very large areas, contact us to discuss alternative delivery options.
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pFRID 2023: Safford et al. Methodology
Calculates fire regime deviations based on Safford et al.'s methodology, using historic presettlement averages for comparison.
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.
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
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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.
Licensing & Attribution
Licensed under Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International (CC BY-NC-SA 4.0).
You may share and adapt this dataset for noncommercial purposes with attribution under the same license.
Required Attribution:
© 2025 Vibrant Planet. Distributed by Vibrant Planet Data Commons. Licensed under CC BY-NC-SA 4.0.
For commercial or special-use requests, email us at contact@vpdatacommons.org
Disclaimer
This dataset is provided “as is.” No warranties of any kind are made. It is intended for landscape-scale screening, planning, and visualization and should not be used as the sole basis for operational, parcel/stand-level, life-safety, legal, or engineering decisions without local validation.