View source: R/satdad_Rfunctions.R
graphsMapEmp | R Documentation |
Empirical tail dependograph and Empirical inverse extremal coefficients graph drawn on geographical maps for the tail dependence structure of sample
associated with threshold k.
graphsMapEmp(
sample,
k,
which = "taildependograph",
names = NULL,
coord,
region = NULL,
select = NULL,
thick.td = 5,
thick.ec = 5,
eps = 0.03
)
sample |
A |
k |
An integer smaller or equal to |
which |
A character string: |
names |
A character vector for |
coord |
Latitudes and Longitudes associated with |
region |
A geographical region from |
select |
If select is NULL (the default) all edges are plotted. If select is an integer between 1 and the number of possible pairs of components of sample, then only the select largest edges are plotted. |
thick.td |
A numeric value for the maximal thickness of edges in |
thick.ec |
A numeric value for the maximal thickness of edges in |
eps |
A numerical graphical value fixing the distance between the plotted point and its names. The default value is 0.03. |
It returns both (or one among) the empirical tail dependograph and the empirical inverse extremal coefficients graph on a geographical map of the sample
.
The empirical tail dependograph on a geographical map represents the pairwise empirical tail superset importance coefficients of the locations associated with sample
columns, see Mercadier, C. and Roustant, O. (2019).
These indices are computed by the function tsicEmp
.
It measures how much a pair of components (included supersets of this pair of components) is involved in the asymptotic dependence of the sample.
The empirical inverse extremal coefficients graph on a geographical map represents empirical pairwise coefficients of the locations associated with sample
columns that estimate 1-\ell(1_i,1_j,\bold{0})/2
.
Cécile Mercadier (mercadier@math.univ-lyon1.fr
)
Mercadier, C. and Roustant, O. (2019) The tail dependograph. Extremes, 22, 343–372.
Becker, R. A., Wilks, A. R. (Original S code), Brownrigg, R. (R version), Minka, T. P. and Deckmyn A. (Enhancements). (2022) maps : Draw Geographical Maps. R package version 3.4.1.
graphsEmp
data(France)
## Figure 9 (a) of Mercadier and Roustant (2019).
graphsMapEmp(France$ymt, k = 55,
coord = France$coord, region = 'France', select = 9)
## Figure 9 (b) of Mercadier and Roustant (2019).
graphsMapEmp(France$ymt, k = 55,
coord = France$coord, region = 'France', select = 30)
## Figure 9 (c) of Mercadier and Roustant (2019).
graphsMapEmp(France$ymt, k = 55,
coord = France$coord, region = 'France')
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