Description Usage Arguments Details Value Examples
landscape objects represent sets of patches forming a
metapopulation, storing information (such as area, population and
environmental features) that may impact on the dynamic transitions
occurring in each component patch. dynamic objects all have a
landscape object (by default a single-patch landscape) as a an
attribute which can be accessed and set via the function landscape.
as.landscape is used to create landscape objects, and the functions
population, area, distance and features
access and set each of the elements of a landscape.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | landscape(dynamic)
landscape(dynamic) <- value
as.landscape(patches)
is.landscape(x)
## S3 method for class 'landscape'
print(x, ...)
area(landscape)
area(landscape) <- value
population(landscape)
population(landscape) <- value
features(landscape)
features(landscape) <- value
distance(landscape)
distance(landscape) <- value
## S3 method for class 'landscape'
x[[i]]
|
dynamic |
an object of class |
value |
an object of class |
patches |
an object to turn into a |
x |
an object to print or test as a landscape object |
landscape |
an object of class |
i |
index specifying the patches to include in the subset
|
... |
further arguments passed to or from other methods. |
The accessor function landscape either returns or sets the
landscape structure of the dynamic, encoded as a landscape
object
patches can be a list containing the following elements:
population, a dataframe giving the number of individuals of each
stage (columns) within each patch (rows); area, a one-column
dataframe giving the areas of the patches in square kilometres;
coordinates, a dataframe giving the coordinates of the habitat
patches; and features, a dataframe containing miscellaneous features
(columns) of the patches (rows), such as measures of patch quality or
environmental variables. Alternatively, patches = NULL, will set up
a 'default' one-patch landscape with area = data.frame(area =1),
coordinates = data.frame(x = 0, y = 0) and blank population
and features elements. The other option is to pass a dynamic
object as patches, in which case the set up will be the same as for
patches = NULL except that population will be a one-row
dataframe of 0s, with columns corresponding to the states in the dynamic.
This is what's used when analysing a dynamic object without
user-specified metapopulation structure.
the accessor functions distance, area,
population and features either return or set corresponding
sub-dataframes of the landscape object
an object of class landscape, essentially a dataframe
containing the coordinates, area, population and features (as columns) for
each patch (rows)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | # create a default landscape
landscape <- as.landscape(NULL)
# create a marginally more interesting one-patch landscape
landscape <- as.landscape(list(coordinates = data.frame(x = c(10, 11),
y = c(11, 12)),
area = data.frame(area = 10),
population = data.frame(adult = 10,
larva = 3,
egg = 20),
features = data.frame(temperature = 10)))
# print method
print(landscape)
# get and set the area
area(landscape)
area(landscape) <- area(landscape) * 2
area(landscape)
# get and set the population
population(landscape)
population(landscape) <- population(landscape) * 2
population(landscape)
# get and set the features
features(landscape)
features(landscape) <- cbind(features(landscape), rainfall = 100)
features(landscape)
# get and set the distance matrix
distance(landscape)
distance(landscape) <- sqrt(distance(landscape))
distance(landscape)
# landscapes can be subsetted to get sub-landscapes of patches with double
# braces
landscape
landscape[[1]]
landscape[[1:2]]
|
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