pFRID 2023 - Vibrant Planet Analytical Approach
Data and Resources
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Percent Fire Return Interval Departure (pFRID)
Quantifies fire regime deviations using advanced statistical testing,...
Additional Info
Field | Value |
---|---|
Last Updated | July 14, 2025, 16:14 (UTC) |
Created | July 14, 2025, 15:14 (UTC) |
accessRights | To read more about the access rights pertaining to this dataset, (a) click on the download button to the left of "1.1 MB" and (b) fill out a form titled "Please complete the form below to access our dataset"; execute these steps at the following link: https://www.vpdatacommons.org/datasets/pfrid-2023-null-hypothesis-significance-test-nhst |
creationMethod | Learn more about dataset's creation method at: https://www.vpdatacommons.org/datasets/pfrid-2023-null-hypothesis-significance-test-nhst |
creatorEmail | mkoontz@usgs.gov |
creatorName | Dr. Mike Koontz |
creatorWebsite | https://www.usgs.gov/staff-profiles/michael-j-koontz |
dataAuthType | public |
dataProvenance | [{"date":"2023-09-13","name":"Creation and publication of dataset"},{"date":"2023-09-13","name":"Dataset updated"},{"date":"2025-03-06","name":"Dataset updated"},{"date":"2025-05-12","name":"Dataset updated"}] |
dataType | GeoTIFF |
datasetPageUrl | https://www.vpdatacommons.org/datasets/pfrid-2023-null-hypothesis-significance-test-nhst |
docsURL | https://www.vpdatacommons.org/datasets/pfrid-2023-null-hypothesis-significance-test-nhst |
doi | https://doi.org/10.17605/OSF.IO/PXJZK |
issueDate | 2023-09-13 |
lang | en |
lastUpdateDate | 2025-05-12 |
license | cc-by-nc-sa |
pocEmail | mkoontz@usgs.gov |
pocName | Dr. Mike Koontz |
pocWebsite | https://www.usgs.gov/staff-profiles/michael-j-koontz |
publisherEmail | katharyn@vibrantplanet.net |
publisherName | Dr. Katharyn Duffy |
publisherWebsite | https://www.vibrantplanet.net/team/dr-katharyn-duffy |
purpose | This dataset provides Percent Fire Return Interval Departure (pFRID) estimates based on Vibrant Planet's 2023 analytical approach. Using statistical testing, it quantifies deviations from historical fire frequencies while accounting for natural variability in fire return intervals. This enhanced methodology distinguishes between random variability and significant shifts in wildfire patterns, offering a more nuanced understanding of fire regime departures. The dataset spans 17 western U.S. states, with partial coverage in 5 additional states, supporting wildfire management, ecological restoration, and risk assessment. |
status | submitted |
theme | ["wildfire"] |
uploadType | dataset |