pair_plots | R Documentation |
Plots pair of metric values in two-dimensional plots.
pair_plots(
x,
raster = NULL,
classes = NULL,
radii = NULL,
c_level = NULL,
l_level = NULL,
ext_raster = NULL,
classnames = FALSE,
upper = TRUE,
diag = TRUE,
smooth = TRUE,
method = "loess",
se = FALSE,
st_points = list(shape = 21, size = 2, col = "black", fill = "white", alpha = 1),
st_lines = list(lty = 1, lwd = 1, col = "black", alpha = 0.6),
...
)
x |
An object of class 'Multiland' generated with |
raster, ext_raster, classes, radii, l_level, c_level |
Parameters to subset plots. See Details. |
classnames |
logical. Whether to show classes with its previously defined names (if defined) when generating the 'MultiLand' object (TRUE), or not (FALSE, default). |
upper |
logical. Whether to plot upper-diagonal plots or not. Default TRUE |
diag |
logical. Whether to plot diagonal density plots or not. Default TRUE. |
smooth |
logical. If TRUE (default) a pattern between the pair of metric values
is plotted, with a smoothing method as defined in |
method |
Smoothing method (function) to use, as in |
se |
logical. Whether to show (TRUE) or not (FALSE) confidence intervals when |
st_points |
List of aesthetic arguments for points plotting:
|
st_lines |
List of aesthetic arguments for lines plotting (if |
... |
Other parameters to be passed to |
pair_plots()
mainly relies on GGally::ggpairs()
to generate pair plots
between metrics values. Arguments upper
and diag
are specific arguments of
GGally::ggpairs()
, here adapted to the context of continuous values only.
Argument raster
, classes
, radii
, l_level
and c_level
can be defined to
subset the plots. In each one of these, an all-positive or an
all-negative vector can be passed, whether to include (all-postive) or exclude (all-negative)
the elements to be taken into account for the subsetting:
rasterlayers: a numeric vector with the number of the rasterlayers to be included/excluded.
For example: c(1, 2, 4)
to include rasterlayers 1, 2 and 4; c(-2, -3)
to exclude rasterlayers 2
and 3.
classes: must be a list with as many elements as defined rasterlayers in argument
raster
. Each element of the list must be a numeric vector (classes identities) with the
classes to be included/excluded. If provided a character vector, pair_corr()
assumes that
classes names are provided. For example, for the case with 2 rasterlayers:
list(c(3, 20, 35), c("Forest", "Crops"))
would include classes 3, 20 and 35 from rasterlayer 1
and classes "Forest" and "Crops" for rasterlayer 2. For the case of a unique rasterlayer, there
is no need to input a list. For example, for the case of a unique rasterlayer and the
exclusion of some classes: c(-5, -10, -15)
to exclude classes 5, 10 and 15 of
the unique rasterlayer; c("-Forest", "-Grassland")
to exclude classes "Forest" and "Grassland".
Note the "-" before each class name to indicate the exclusion of the classes.
radii: a numeric vector to include/exclude particular radii. For example: c(1000, 2000) to include only radii of 1000 and 2000 m; c(-500, -1500) to exclude radii of 500 and 1500 m.
metrics: character vector with the metrics to be included/excluded from
the plots For example: c("np", "pland")
will include only the metrics "number of patches"
("np") and "percentage of the landscape" ("pland") in the analysis, whereas c("-np", "-pland")
will exclude them. Note the "-" before each metric name to indicate the exclusion of the
metrics. Extra calculations for extra rasters must be provided as "fun_" + the name of the
function. Names of the available metrics of the 'MultiLandMetrics' object provided in x
can
be accessed with x@metrics
and x@ext_calc
.
A panel with several plots returned by GGally::ggpairs()
relating pair of metrics
values. Metrics
names are presented at the top and right of the panel (strips), with the following format:
"level""metric_name""radius". For a landscape-level metric, a plausible metric name could be
"l_np_1500" indicating a landscape-level metric, which is "np" ("number of patches") at a scale
(radius) of 1500 m. For a class-level metric a plausible metric name could be "c4_pland_1000",
indicating a class-level metric of class 4 (the value of the raster), which is "pland"
("percentage of landscape") at a scale (radius) of 1000 m. If more that one rasterlayer is
being analyzed, the prefix "r1", "r2", "r3", ..., "rn" (referring to rasterlayer 1, 2, 3, ..., n) is
added to the metric name.
metrics()
, pair_corr()
## Not run:
# Pair plots between metrics "pland" of classes 1 to 4, for radius 3000 m
pair_plots(ed_metrics, classes = 1:4, radii = 3000, classnames = TRUE, c_level = "pland")
# Without smooth pattern
pair_plots(ed_metrics, classes = 1:4, radii = 3000, classnames = TRUE, c_level = "pland",
smooth = FALSE)
# Changing aesthetics
pair_plots(ed_metrics, classes = 1:4, radii = 3000, classnames = TRUE, c_level = "pland",
smooth = FALSE, size = 1.5, shape = 21, fill = "red", alpha = 0.4)
# Assessing two radii values at the same time
pair_plots(ed_metrics, classes = 1:4, radii = c(1000, 5000), classnames = TRUE, c_level = "pland",
smooth = FALSE, size = 1.5, shape = 21, fill = "red", alpha = 0.4)
# An example with hundreds of points
pair_plots(otf_metrics, classes = c("Forest", "Crops"))
## End(Not run)
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