Found 49 datasets matching "conditional probability".
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This U.S. Geological Survey (USGS) data release contains the data used in the USGS Scientific Investigations Report 2018-5053 entitled "An exploratory Bayesian network for estimating the...
Search relevance: 82.10 | Views last month: 0 -
This data set was collected as part of structured decision-making workshops designed to build a Bayesian Decision Network of prescribed fire in high marshes of the Gulf of Mexico. As part of a...
Search relevance: 74.16 | Views last month: 0 -
This paper describes the application of known and novel prognostic algorithms on systems that can be described by low dimensional, potentially nonlinear dynamics. The methods rely on estimating...
Search relevance: 63.68 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 56.70 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 56.64 | Views last month: 0 -
National burn probability (BP) and conditional fire intensity level (FIL) data were generated for the conterminous United States (US) using a geospatial Fire Simulation (FSim) system developed by...
Search relevance: 56.50 | Views last month: 0 -
The Barrier Island and Estuarine Wetland Physical Change Assessment was created to calibrate and test probability models of barrier island estuarine shoreline (backshore) and beach sandline change...
Search relevance: 56.02 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 55.85 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 55.85 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 55.85 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 55.85 | Views last month: 0 -
The Barrier Island and Estuarine Wetland Physical Change Assessment was created to calibrate and test probability models of barrier island estuarine shoreline (backshore) and beach sandline change...
Search relevance: 55.84 | Views last month: 1 -
The Barrier Island and Estuarine Wetland Physical Change Assessment was created to calibrate and test probability models of barrier island estuarine shoreline (backshore) and beach sandline change...
Search relevance: 55.84 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 55.71 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 55.71 | Views last month: 0 -
The Barrier Island and Estuarine Wetland Physical Change Assessment was created to calibrate and test probability models of barrier island estuarine shoreline (backshore) and beach sandline change...
Search relevance: 55.26 | Views last month: 1 -
National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS), Alaska, and Hawaii using a geospatial Fire...
Search relevance: 51.52 | Views last month: 1 -
National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS), Alaska, and Hawaii using a geospatial Fire...
Search relevance: 51.42 | Views last month: 0 -
National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS), Alaska, and Hawaii using a geospatial Fire...
Search relevance: 50.69 | Views last month: 0 -
National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS), Alaska, and Hawaii using a geospatial Fire...
Search relevance: 50.60 | Views last month: 1
