# Weighting of edges based on inverse squared distance
weight.vec <- 1-(length.edge/max(length.edge))^2
# Construction of AEM eigenfunctions from edge.mat, of class
# build.binary
example.AEM weight = weight.vec,
rm.link0 = TRUE)
example.AEM$values
ex.AEM.vec <- example.AEM$vectors
Let us now construct a set of 5 fictitious species observed at these 40 sites:
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
40
Fig. 7.12 Fictitious
directional sampling design
for AEM analysis: 10 rows
of 4 capture devices along a
stream. A site “0” has been
added upstream (bottom of
the figure) to set the
direction of the flow.
7.4 Eigenvector-Based Spatial Variables and Spatial Modelling
353
Précédent

- 364/444

Suivant