@article{ ISI:000267128000013,
Author = {Hillary, Richard},
Title = {{An introduction to FLR fisheries simulation tools}},
Journal = {{AQUATIC LIVING RESOURCES}},
Year = {{2009}},
Volume = {{22}},
Number = {{2}},
Pages = {{225-232}},
Month = {{APR-JUN}},
Abstract = {{Fisheries libraries in R (FLR) is an open-source software framework
   based in the R statistical software environment, with the main purpose
   of allowing for the efficient simulation and evaluation of fisheries
   management strategies. This paper details a generic (non-spatial)
   biological operating model used to simulate populations and their
   reaction to fishing, and an observation error model and methods for
   simulating structured sampling/observation error and bias in key
   fisheries assessment indices. It also contains the details of how the
   candidate harvest control rules, based on survey-derived information,
   can be characterised and implemented, and how the processes of
   management strategy evaluation and stock assessment can be included in
   the simulations.}},
Publisher = {{EDP SCIENCES S A}},
Address = {{17, AVE DU HOGGAR, PA COURTABOEUF, BP 112, F-91944 LES ULIS CEDEX A,
   FRANCE}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Hillary, R (Reprint Author), Imperial Coll, Div Biol, Ascot SL5 7PL, Berks, England.
   Imperial Coll, Div Biol, Ascot SL5 7PL, Berks, England.}},
DOI = {{10.1051/alr/2009023}},
ISSN = {{0990-7440}},
Keywords = {{Management strategy evaluation; Fishery-independent data; Observation
   error model; Harvest control rules; FLR}},
Keywords-Plus = {{MANAGEMENT PROCEDURES; STRATEGY EVALUATION; HARVEST; STOCK}},
Research-Areas = {{Fisheries; Marine \& Freshwater Biology}},
Web-of-Science-Categories  = {{Fisheries; Marine \& Freshwater Biology}},
Author-Email = {{r.hillary@imperial.ac.uk}},
ResearcherID-Numbers = {{Hillary, Richard/L-3300-2013}},
Number-of-Cited-References = {{19}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{Aquat. Living Resour.}},
Doc-Delivery-Number = {{459SB}},
Unique-ID = {{ISI:000267128000013}},
OA = {{No}},
DA = {{2017-08-17}},
}