artiFISHal: Pelagic Fish Community Simulator
In JVAdams/artiFISHal: A Pelagic Fish Community Simulator
Description
Details
References
Description
artiFISHal is a pelagic fish community simulator, which can be used to
create artificial lakes and populate them with known numbers of fish
(identified in species-size groups) to mimic pelagic fish communities.
artiFISHal can then be used to sample these fish with virtual acoustic
and midwater trawl surveys.
Details
An example of how to use the functions in artiFISHal is given in this
vignette
[link].
Use SimFish to create an artificial lake and populate it with
known numbers of fish (identified in species-size groups)
to mimic pelagic fish communities.
Use SampFish to sample the fish population with virtual
acoustic and midwater trawl surveys.
Yule et al. (2013) used artiFISHal
to evaluate several different approaches for estimating the biomass of
pelagic fish species in the Great Lakes.
U.S. Geological Survey (USGS) Computer Program artiFISHal
version 0.0.0.9001.
Written by Jean V. Adams, USGS - Great Lakes Science Center
glsc.usgs.gov, Ann Arbor, Michigan, USA.
Written in programming language R (R Core Team, 2015,
R-project.org), version 3.2.3 (2015-12-10).
Run on a PC with Intel(R) Core(TM) I7-4600m CPU, 2.90 GHz processor,
16.0 GB RAM, and
Microsoft Windows 7 Enterprise operating system 2009 Service Pack 1.
Source code is available from Jean V. Adams on GitHub
github.com/JVAdams/LW1949,
jvadams (at) usgs (dot) gov.
Disclaimer: Although this program has been used by the USGS,
no warranty, expressed or implied, is made by the USGS or the United States
Government as to the accuracy and functioning of the program and related
program material nor shall the fact of distribution constitute any such
warranty, and no responsibility is assumed by the USGS in connection
therewith.
References
Yule, DL, JV Adams, DM Warner, TR Hrabik, PM Kocovsky, BC Weidel,
LG Rudstam, and PJ Sullivan. 2013.
Evaluating analytical approaches for estimating pelagic fish biomass using
simulated fish communities.
Canadian Journal of Fisheries and Aquatic Sciences 70:1845-1857.
http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2013-0072#.U1KYxPldXTQ
JVAdams/artiFISHal documentation built on May 7, 2019, 10:14 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.
Description Details References
Description
artiFISHal is a pelagic fish community simulator, which can be used to create artificial lakes and populate them with known numbers of fish (identified in species-size groups) to mimic pelagic fish communities. artiFISHal can then be used to sample these fish with virtual acoustic and midwater trawl surveys.
Details
An example of how to use the functions in artiFISHal is given in this
vignette
[link].
Use SimFish to create an artificial lake and populate it with
known numbers of fish (identified in species-size groups)
to mimic pelagic fish communities.
Use SampFish to sample the fish population with virtual
acoustic and midwater trawl surveys.
Yule et al. (2013) used artiFISHal to evaluate several different approaches for estimating the biomass of pelagic fish species in the Great Lakes.
U.S. Geological Survey (USGS) Computer Program artiFISHal version 0.0.0.9001. Written by Jean V. Adams, USGS - Great Lakes Science Center glsc.usgs.gov, Ann Arbor, Michigan, USA. Written in programming language R (R Core Team, 2015, R-project.org), version 3.2.3 (2015-12-10). Run on a PC with Intel(R) Core(TM) I7-4600m CPU, 2.90 GHz processor, 16.0 GB RAM, and Microsoft Windows 7 Enterprise operating system 2009 Service Pack 1. Source code is available from Jean V. Adams on GitHub github.com/JVAdams/LW1949, jvadams (at) usgs (dot) gov.
Disclaimer: Although this program has been used by the USGS, no warranty, expressed or implied, is made by the USGS or the United States Government as to the accuracy and functioning of the program and related program material nor shall the fact of distribution constitute any such warranty, and no responsibility is assumed by the USGS in connection therewith.
References
Yule, DL, JV Adams, DM Warner, TR Hrabik, PM Kocovsky, BC Weidel, LG Rudstam, and PJ Sullivan. 2013. Evaluating analytical approaches for estimating pelagic fish biomass using simulated fish communities. Canadian Journal of Fisheries and Aquatic Sciences 70:1845-1857. http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2013-0072#.U1KYxPldXTQ
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.