Table 1 Correlation coefficients between landscape measures

From: Evolutionary constraints in fitness landscapes

 

peaks

sinks

γ

paths

simil_patha

steps

depth

Experimental landscapes

peaks

1

sinks

0.45

1

γ

0.55

0.37

1

paths

0.38

0.17

0.36

1

simil_patha

0.10

0.07

0.09

0.47

1

steps

<0.01

0.15

<0.01

0.12

<0.01

1

depth

0.05

0.14

<0.01

<0.01

<0.01

0.33

1

RMF model

 

peaks

sinks

γ

paths

simil_path

steps

depth

peaks

1

sinks

0.57

1

γ

0.76

0.74

1

paths

0.67

0.59

0.68

1

simil_patha

0.63

0.63

0.71

0.85

1

steps

0.09

0.03

<0.01

<0.01

0.02

1

depth

0.02

0.13

0.11

0.10

<0.01

0.28

1

IMF model

 

peaks

sinks

γ

paths

simil_path

steps

depth

peaks

1

sinks

0.67

1

γ

0.71

0.42

1

paths

0.72

0.72

0.72

1

simil_patha

n/a

0.70

0.59

1

1

steps

0.19

<0.01

0.05

<0.01

<0.01

1

depth

<0.01

0.11

0.04

0.24

0.02

0.70

1

  1. Spearman ρ2 correlation of pairs of measures across 38 experimental landscapes (top panel) or 104 random realizations of the RMF (medium panel) and IMF models (low panel) with L = 5, σHoC = 1 (for RMF), μI = 1 and σI = 0.2 (for IMF), σa = μa/10 and μa log-uniformly distributed in [0.01, 10]
  2. aSimilarity between paths can only be computed in 25 landscapes for experimental ones, 5108 for RMF and 3242 for IMF, as the other ones have 1 or less accessible paths