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Table 3 R2 (above) and p value (below) for the linear regression of each of CWL3/CWL1, CWL9/CWL1, and CWL27/CWL1 against h, dist_type, #_of_classes, min_value, max_value, and straight-line source-to-sink distance

From: On the effects of spatial resolution on effective distance measurement in digital landscapes

Barrier Accuracy indicator h Symmetric dist_type Left-skewed dist_type Right-skewed dist_type #_of_
classes
min_
value
max_
value
Straight-line source-to-sink distance
No barriers CWL3/CWL1 0.10775
< 0.001
0.00080
0.370
0.00140
0.237
0.00331
0.069
0.00570
0.017
0.12189
< 0.001
0.00336
0.067
0.00003
0.856
CWL9/CWL1 0.11505
< 0.001
0.00017
0.682
0.00555
0.018
0.00674
0.009
0.00252
0.112
0.12693
< 0.001
0.00568
0.017
0.00003
0.852
CWL27/CWL1 0.11166
< 0.001
0.00007
0.796
0.00605
0.014
0.00789
0.005
0.00358
0.059
0.13283
< 0.001
0.00436
0.037
0.00023
0.630
One barrier CWL3/CWL1 0.11606
< 0.001
0.00060
0.439
0.00248
0.116
0.00368
0.055
0.00435
0.037
0.12608
< 0.001
0.00525
0.022
0.00003
0.869
CWL9/CWL1 0.06294
< 0.001
0.00000
0.979
0.00722
0.007
0.01163
0.001
0.00000
0.950
0.03914
< 0.001
0.00427
0.039
0.00025
0.616
CWL27/CWL1 0.05866
< 0.001
0.00000
0.989
0.01082
0.001
0.01819
< 0.001
0.00192
0.167
0.05427
< 0.001
0.00272
0.099
0.00006
0.807
Two barriers CWL3/CWL1 0.09164
< 0.001
0.00019
0.663
0.00092
0.337
0.00094
0.334
0.00073
0.392
0.10157
< 0.001
0.00480
0.028
0.00000
0.990
CWL9/CWL1 0.05893
< 0.001
0.00007
0.791
0.00079
0.375
0.00055
0.457
0.00035
0.553
0.01136
0.001
0.00230
0.130
0.00202
0.156
CWL27/CWL1 0.04015
< 0.001
0.00000
0.991
0.00202
0.156
0.00311
0.078
0.00100
0.318
0.01877
< 0.001
0.00125
0.264
0.00054
0.462
  1. Note that dist_type was represented by three dummy variables (symmetric, left skewed, and right skewed, each of which was used as a regressor. Note also that max_value was dependent on #_of_classes and min_value, although not completely determined by them