survival_ranks: Cumulative distribution ranks for flows by year
In danStich/penPass: R package for Atlantic salmon PenPass model
survival_ranks R Documentation
Cumulative distribution ranks for flows by year
Description
Cumulative distribution ranks for survival at
dams in the Penobscot River watershed based on cumulative flow
distribution in flow_ranks.
Usage
survival_ranks
Format
A dataframe with 17391 observations of 5 variables
GageID US Geological Survey gage ID
Location Gage location
Day Ordinal day of year for measurement
cum_prob Cumulative flow probability
Year Year of measurement
flow Flow measurement
Source
Stevens, JR, JF Kocik, and TF Sheehan. 2019. Modeling the impacts of dams and
stocking practices on an endangered Atlantic salmon (Salmo salar)
population in the Penobscot River, Maine, USA. Canadian Journal of Fisheries
and Aquatic Sciences 76:1795-1807.
danStich/penPass documentation built on July 1, 2023, 9:31 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| survival_ranks | R Documentation |
Cumulative distribution ranks for flows by year
Description
Cumulative distribution ranks for survival at
dams in the Penobscot River watershed based on cumulative flow
distribution in flow_ranks.
Usage
survival_ranks
Format
A dataframe with 17391 observations of 5 variables
GageID US Geological Survey gage ID
Location Gage location
Day Ordinal day of year for measurement
cum_prob Cumulative flow probability
Year Year of measurement
flow Flow measurement
Source
Stevens, JR, JF Kocik, and TF Sheehan. 2019. Modeling the impacts of dams and stocking practices on an endangered Atlantic salmon (Salmo salar) population in the Penobscot River, Maine, USA. Canadian Journal of Fisheries and Aquatic Sciences 76:1795-1807.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.