forked from qld-gov-au/spade
-
Notifications
You must be signed in to change notification settings - Fork 0
Stock assessment using PArtial Differential Equations
License
LGPL-3.0, GPL-3.0 licenses found
Licenses found
LGPL-3.0
COPYING.LESSER
GPL-3.0
COPYING
alexpbell/spade
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
SPADE: Stock assessment using PArtial Differential Equations The objective of this project is to provide modellers of harvested populations with access to some of the theoretical tools associated with smooth dynamical systems. It was conceived while attempting to model the influence of river flow on barramundi populations in Queensland, Australia. The code was written between December 2015 and September 2016 and is released under the LGPL. Contributors: Alex Campbell - idea, theoretical framework, programming Oscar Angulo - PDE to ODE reduction, numerical guidance, mathematical advice Tomislav Buric - analytic derivatives, numerical bug fix, mathematical advice Michael Emery - programming George Leigh - mathematical advice Julie Robins - fishery domain expertise Administrative and financial support were provided by Animal Science and Fisheries Queensland of the Queensland Department of Agriculture and Fisheries, and the Scientific Computing Team of the Queensland Department of Science, Information Technology and Innovation. Thanks especially to Peter Johnston, Warwick Nash, Michael O'Neill, Andrew Thwaites, Maria Mohr and Jason Shen. Thanks also to You-Gan Wang for laying the seed in 2014 with a comment about the limitations of growth transition matrices. Thanks to Richard Little for coming up with the acronym. Install and run: > git clone https://github.com/qld-gov-au/spade > cd spade > make > ./spade
About
Stock assessment using PArtial Differential Equations
Resources
License
LGPL-3.0, GPL-3.0 licenses found
Licenses found
LGPL-3.0
COPYING.LESSER
GPL-3.0
COPYING
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- C 95.9%
- TeX 3.6%
- Other 0.5%