Tools for Analysis, Design, and Operation of Water Supply
Storages
c(
person("Sean", "Turner", , "swd.turner@gmail.com", c("aut", "cre")),
person("Stefano", "Galelli", , "stefano_galelli@sutd.edu.sg", "aut")
)
Measure single-storage water supply system performance using resilience, reliability,
and vulnerability metrics; assess storage-yield-reliability relationships;
determine no-fail storage with sequent peak analysis; optimize release
decisions using deterministic and stochastic dynamic programming; evaluate
inflow persistence using the Hurst coefficient.
Sean Turner [aut, cre],
Stefano Galelli [aut]

c(
person("Sean", "Turner", , "swd.turner@gmail.com", c("aut", "cre")),
person("Jia Yi", "Ng", , "ngjiayi93@hotmail.com", "aut"),
person("Stefano", "Galelli", , "stefano_galelli@sutd.edu.sg", "aut")
)
Measure single-storage water supply system performance using resilience,
reliability, and vulnerability metrics; assess storage-yield-reliability
relationships; determine no-fail storage with sequent peak analysis; optimize
release decisions for water supply, hydropower, and multi-objective reservoirs
using deterministic and stochastic dynamic programming; evaluate inflow
persistence using the Hurst coefficient.
Sean Turner [aut, cre],
Jia Yi Ng [aut],
Stefano Galelli [aut]

Measure single-storage water supply system performance using resilience,
reliability, and vulnerability metrics; assess storage-yield-reliability
relationships; determine no-fail storage with sequent peak analysis; optimize
release decisions for water supply, hydropower, and multi-objective reservoirs
using deterministic and stochastic dynamic programming; generate inflow
replicates using parametric and non-parametric models; evaluate inflow
persistence using the Hurst coefficient.

Simulate Agricultural Production and Evolution of Pesticide
Resistance
c(person("A. Bradley", "Duthie", email = "brad.duthie@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-8343-4995")),
person("Rose", "McKeon", role = c("aut", "ctr")),
person("Rosie", "Mangan", role = c("ctr")),
person("Luc", "Bussi&eacute;re", role = c("ctr")),
person("Matthew", "Tinsley", role = c("ctr"))
)
Simulates individual-based models of agricultural pest management
and the evolution of pesticide resistance. Management occurs on a spatially
explicit landscape that is divided into an arbitrary number of farms that
can grow one of up to 10 crops and apply one of up to 10 pesticides. Pest
genomes are modelled in a way that allows for any number of pest traits with
an arbitrary covariance structure that is constructed using an evolutionary
algorithm in the mine_gmatrix() function. Simulations are then run using the
run_farm_sim() function. This package thereby allows for highly mechanistic
social-ecological models of the evolution of pesticide resistance under
different types of crop rotation and pesticide application regimes.
A. Bradley Duthie [aut, cre] (<https://orcid.org/0000-0001-8343-4995>),
Rose McKeon [aut, ctr],
Rosie Mangan [ctr],
Luc Bussi&eacute;re [ctr],
Matthew Tinsley [ctr]