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Informal code repository for North Atlantic fin whale simulation trials
To compile the naf-ist program one needs a working fortran compiler. These can be obtained from various source both commercial vendorsor as a part of the gnu compiler collection. The gnu fortran compiler (gfortran) is available for the common computer platforms.
Simply install the gnu compiler collection using the default package manager (yum/apt-get etc..)
Follow the installation instructions on http://hpc.sourceforge.net/
The gnu compiler collection can be downloaded as a part of the minimalistic GNU for Windows, see http://www.mingw.org for further details or alternatively rtools (https://cran.r-project.org/bin/windows/Rtools/).
Assuming you have gfortran installed one simply has to navigate to the git directory (via terminal) and type:
make
and to install (assuming you are on linux/unix platforms):
mv naf-ist ~/bin
The naf-ist program can be run directly from the command line:
naf-ist -main copyna
Trial No. | Stock Hypothesis | MSYR 2 | No. of Stocks | Trial description | Weight 1% | Weight 4% |
---|---|---|---|---|---|---|
Baseline | ||||||
NF-B1 | I | 1, 4% | 4 | 4 stocks, separate feeding areas | M | H |
NF-B2 | II | 1, 4% | 4 | 4 stocks; 'W' & 'E' feed in central sub-areas | M | H |
NF-B3 | III | 1, 4% | 4 | 4 stocks; 'C1' & 'C3' feed in adjacent sub-areas | M | H |
NF-B5 | V | 1, 4% | 4 | 4 stocks as in Hypothesis I but stock 'S' in adjacent sub-areas | M | H |
NF-B6 | VI | 4% | 3 | 3 stocks (no 'E' stock) | n/a | H |
Sensitivity | ||||||
NF-H2 | II | 1, 4% | 4 | High historical catch series | M | M |
NF-H3 | III | 1, 4% | 4 | High historical catch series | M | M |
NF-Q3* | III | 1, 4% | 4 | Future WI & EI/F surveys exc. strata S 60ºN | M | M |
NF-A2 | II | 1, 4% | 4 | Pro-rate abundance data for conditioning | M | M |
NF-A3 | III | 1, 4% | 4 | Pro-rate abundance data for conditioning | M | M |
NF-U3 | III | 1, 4% | 4 | Selectivity decreases by 4%/yr for age 8+; M=0.04 | M | M |
NF-G2 | II | 1, 4% | 4 | C2 sub-stock enters EG beginning yr 1985 (opt. a) | M | M |
NF-G3 | III | 1, 4% | 4 | C2 sub-stock enters EG beginning yr 1985 (opt. a) | M | M |
NF-F2 | II | 1, 4% | 4 | C2 sub-stock enters EG 1985-2025 (opt. b) | M | M |
NF-F3 | III | 1, 4% | 4 | C2 sub-stock enters EG 1985-2025 (opt. b) | M | M |
NF-S3 | III | 1, 4% | 4 | Selectivity estimated for pre and post 2000 & use all age data | M | M |
NF-Y1* | I | 1, 4% | 4 | 8 year future survey interval | M | H |
NF-Y1* | II | 1, 4% | 4 | 8 year future survey interval | M | H |
NF-Y3* | III | 1, 4% | 4 | 8 year future survey interval | M | H |
NF-Y5* | V | 1, 4% | 4 | 8 year future survey interval | M | H |
NF-Y6* | VI | 1, 4% | 3 | 8 year future survey interval | n/a | H |
NF-E2 | II | 1, 4% | 4 | Exclude 1987/9 abundance in WI, EG & EI/F | M | M |
NF-E3 | III | 1, 4% | 4 | Exclude 1987/9 abundance in WI, EG & EI/F | M | M |
NF-D1 | I | 1% | 4 | Dispersal: max bound of 20% | M | |
NF-D3 | III | 1% | 4 | Dispersal: max bound of 20% | M | |
NF-J1 | II | 1, 4% | 4 | Assume g(0) = 0.8 (all estimates) | M | H |
NF-J2 | III | 1, 4% | 4 | Assume g(0) = 0.8 (all estimates) | M | H |