Description Slots Objects from the Class Author(s) Examples
An S4 class object for storing all attributes of the landscape including anglers, population centres and lakes. Landscape objects can be modified, subsetted and adapted using a range of SSES functions.
Name
Character string. The name of the Data object. Single value. Character string
Note
Character string. Any relevant information
npc
Integer. The number of population centres
nl
Integer. The number of lakes
na
Integer. The number of angler classes
nattr
Integer. The number of lake attributes.
ncat
Integer. The number of categorical lake attributes.
nsim
Integer. The number of simulations (landscape simulations per management mode).
nmanage
Integer. The number of management modes.
nage
Integer. The maximum number of fish age classes modelled
nst
Integer. The number of stocking types (e.g. fry, fingerlings etc)
nattrvals
Integer. The maximum number of attribute values for each categorical lake attribute
pcnam
Character value. The name of each population centre (population centre).
pcsize
Array. The number of anglers in each population (sim, population centre).
pcx
Numeric. The longitude of each population centre (population centre).
pcy
Numeric. The latitude of each population centre (population centre).
lakenam
Character. The name of each lake (short form lake code) (lake).
longnam
Character. The long name of each lake (lake).
lakex
Numeric. The longitude of each lake (lake).
lakey
Numeric. The latitute of each lake (lake).
lakearea
Numeric. The surface area of the lake in hectares (lake).
lxslev
3D Array. The stocking level (management mode, lake, stocking type).
GDD
Array. Growing degree days for each lake (sim, lake).
TDS
Array Total disolved solids for each lake (sim, lake).
stockable
NOT IN USE. Whether the lake is stocked (lake).
anam
Character. The name of the angler classes (angler class).
apr
3D Array. The angler participation rate - mean effort per license (simulation, population centre, angler class).
aq
Array. The angler catchabilty coefficient (sim, angler class).
attr
data.frame. The attributes of each angler class.
pcxl
3D array. The distance of each population centre to each lake, pc x l (management mode, population centre, lake).
pcxa
3D array. The fraction of each angler class in each population centre, pc x a (simulation, population centre, angler class).
lxattr
3D array. Lake attributes l x attr (management mode, lake, lake attribute).
axattr
3D array. Angler attributes a x attr (sim, population centre, angler class).
eff
5D array. Output. The calculated effort on each lake (management option, simulation, population centre, lake, angler class).
avs
Array. Output. Average size of fish caught on each lake.
cr
Array. Output. Catch rate on each lake.
exeff
Array. Input. Experimental observed effort.
exavs
Array. Input. Experimental average size of fish caught.
excr
Array. Input. Experimental observed catch rate.
sigeff
3D array. Effort summed (management mode, simulation, lake).
sigexeff
3D array. Observed experimental effort summed (management mode, simulation, lake).
cont
List. List of polygons that are map contours or other map features to be plotted.
topcols
Character. A vector of colors matching each item in the list cont.
costs
4D Array. Management costs (simulation, lake, attribute, attribute level).
Scosts
3D Array. Stocking costs per fish (simulation, lake, stocking type).
totcost
3D Array. Total current stocking costs per lake (management, simulation, lake).
effval
2D Array. The current value of a unit of effort (simululation, angler class).
licval
2D Arrayl. The value of a license sale (simulation, 1).
stnam
Character. The name of each stocking type (stocking type).
aclass
Integer. The age class of each stocking type (stocking type).
stwt
Numeric. The weight (gms) that each stocking type is stocked at (stocking type).
stlen
Numeric. The lenght (mm) that each stocking type is stocked at (stocking type).
popval
Array. Population dynamics parameters (sim, population parameter, stocking type).
poperr
Array. The error structure and variance for each population parameter (population parameter, (type, CV))
errs
Data.frame. A set of errors (log normal CVs) for various other attribtues of the model such as GDD and population size
Mage
3D array. Mortality at age (simulation, age class, stocking type)
CB
2D array. Output. Total Benefit / Cost. Total effort per $ stocking (management mode, simulation)
conv
2D array. Output. The total effort convergence information (lake, iteration of algorithm)
Econv
2D array. Output. The effort convergence information (lake, iteration of algorithm)
lm
Hierarchical list. R linear models for the continuous variables (continuous variable)(angler class)
U
Array. A record of utility for the first management mode and simulation (population centre, angler class)
FTroutAng
Numeric. The fraction of licensed anglers that are trout fishers (population centre)
acc
Array. Access metric (simulation, lake)
acc_a
Numeric. The optimized slope parameter converting the access metric into a lake gravity term
misc
list. Somewhere to store stuff
sel
Array. Age selectivity of anglers (simulation, age)
GModel
Character. Growth model used (Lester1, Lester2, New Lester)
couch
4D Array. A specified couch effect (managment mode, simulation, population centre, angler class)
fac
DISUSED
fac_a
DISUSED
DR
Numeric. Discard rate. The fraction of fish that are discarded.
DD
Numeric. Dead Discarding. The fraction of fish that are discarded that die (simulation)
BagLim
Array. Bag limit. The maximum number of fish that may be retained per day on each lake (management mode, lake)
maxdays
Integer. Maximum days per licence if doing calculations with couch effect = TRUE
Objects can be created by calls of the form
new('Landscape', datafile)
T. Carruthers
1 | myland<-new('Landscape',datafile)
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