| plot.CompareClassification {greenbrown} | R Documentation |
This function takes an object of class CompareClassification as input and plots a map of the class agreement of two classifications.
## S3 method for class 'CompareClassification'
plot(x, xlab = "", ylab = "", main = "Classification agreement",
names = NULL, ul = "burlywood4", lr = "darkgreen", ll = "khaki1",
ur = "royalblue1", ctr = "gray87", mar = NULL, ...)
x |
Object of class |
xlab |
A title for the x axis |
ylab |
A title for the y axis |
main |
A title for the plot |
names |
a list with names of the two classifications and class names. See example section for details. |
ul |
starting color in the upper left corner of the |
lr |
ending color in the lower right corner of the |
ll |
starting color in the lower left corner of the |
ur |
ending color in the upper right corner of the |
ctr |
color in the center of the |
mar |
plot margins |
... |
Further arguments that can be passed |
Matthias Forkel <matthias.forkel@geo.tuwien.ac.at> [aut, cre]
CompareClassification, AccuracyAssessment, TrendClassification
# Example: calculate NDVI trends from two methods and compare the significant trends
# load a raster dataset of Normalized Difference Vegetation Index
data(ndvimap)
# calculate trends with two different methods
AATmap <- TrendRaster(ndvimap, start=c(1982, 1), freq=12, method="AAT", breaks=0)
plot(AATmap)
STMmap <- TrendRaster(ndvimap, start=c(1982, 1), freq=12, method="STM", breaks=0)
plot(STMmap)
# classify the trend estimates from the two methods into
# positive, negative and no trend
AATmap.cl <- TrendClassification(AATmap)
plot(AATmap.cl, col=brgr.colors(3))
STMmap.cl <- TrendClassification(STMmap)
plot(STMmap.cl, col=brgr.colors(3))
# compare the two classifications
compare <- CompareClassification(x=AATmap.cl, y=STMmap.cl,
names=list('AAT'=c("Br", "No", "Gr"), 'STM'=c("Br", "No", "Gr")))
compare
# plot the comparison
plot(compare)