Appendix 2. An example "recipe" used to specify statistical parameters to the Fractal
Landscape Realizer. This recipe is used to produce Map 8. In this example, Category 0 is absolutely constrained to exactly match the real map, and will not vary between realizations. Categories 3 and 9 are constrained by elevation; Category 3 is constrained to appear in valley bottoms, whereas Category 9 tends to appear on hilltops. The locations of these categories will vary from one realization to the next.
(random seed from clock = 850868640)
N (visualize the landscape?)
7 (Number of levels)
10 (highest data category)
y (supply external prob maps?)
3 (number of external prob maps)
0 (constrain which category?)
clust.10.0
N
3
elev.10
N
9
elev.10
Y
0.65 (value of H for level 1, category 1)
0.65 (value of H for level 2, category 1)
0.65 (value of H for level 3, category 1)
0.65 (value of H for level 4, category 1)
0.65 (value of H for level 5, category 1)
0.65 (value of H for level 6, category 1)
0.65 (value of H for level 7, category 1)
0.65 (value of H for level 1, category 2)
0.65 (value of H for level 2, category 2)
0.65 (value of H for level 3, category 2)
0.65 (value of H for level 4, category 2)
0.65 (value of H for level 5, category 2)
0.65 (value of H for level 6, category 2)
0.65 (value of H for level 7, category 2)
0.72 (value of H for level 1, category 4)
0.72 (value of H for level 2, category 4)
0.72 (value of H for level 3, category 4)
0.72 (value of H for level 4, category 4)
0.72 (value of H for level 5, category 4)
0.72 (value of H for level 6, category 4)
0.72 (value of H for level 7, category 4)
0.72 (value of H for level 1, category 5)
0.72 (value of H for level 2, category 5)
0.72 (value of H for level 3, category 5)
0.72 (value of H for level 4, category 5)
0.72 (value of H for level 5, category 5)
0.72 (value of H for level 6, category 5)
0.72 (value of H for level 7, category 5)
0.72 (value of H for level 1, category 6)
0.72 (value of H for level 2, category 6)
0.72 (value of H for level 3, category 6)
0.72 (value of H for level 4, category 6)
0.72 (value of H for level 5, category 6)
0.72 (value of H for level 6, category 6)
0.72 (value of H for level 7, category 6)
0.60 (value of H for level 1, category 7)
0.60 (value of H for level 2, category 7)
0.60 (value of H for level 3, category 7)
0.80 (value of H for level 4, category 7)
0.20 (value of H for level 5, category 7)
0.80 (value of H for level 6, category 7)
0.90 (value of H for level 7, category 7)
0.65 (value of H for level 1, category 8)
0.65 (value of H for level 2, category 8)
0.65 (value of H for level 3, category 8)
0.65 (value of H for level 4, category 8)
0.65 (value of H for level 5, category 8)
0.65 (value of H for level 6, category 8)
0.65 (value of H for level 7, category 8)
0.60 (value of H for level 1, category 10)
0.60 (value of H for level 2, category 10)
0.60 (value of H for level 3, category 10)
0.80 (value of H for level 4, category 10)
0.20 (value of H for level 5, category 10)
0.85 (value of H for level 6, category 10)
0.95 (value of H for level 7, category 10)
.05710 (probability of habitat type 1)
.02890 (probability of habitat type 2)
.27550 (probability of habitat type 3)
.00890 (probability of habitat type 4)
.28177 (probability of habitat type 5)
.00030 (probability of habitat type 6)
.13450 (probability of habitat type 7)
.02670 (probability of habitat type 8)
.14310 (probability of habitat type 9)
.03790 (probability of habitat type10)
n (generate GRASS input file?)
y (xpm file of realized landscape?)
n (xpm file of probability landscapes?)
0.000000 (threshold for detection (xlow))
n (wrap?)
n (gradient?)
0.000000 (threshold for detection (xlow))
n (wrap?)
n (gradient?)
0.000000 (threshold for detection (xlow))
n (wrap?)
n (gradient?)
0.000000 (threshold for detection (xlow))
n (wrap?)
n (gradient?)
0.000000 (threshold for detection (xlow))
n (wrap?)
n (gradient?)
0.000000 (threshold for detection (xlow))
n (wrap?)
n (gradient?)
0.000000 (threshold for detection (xlow))
n (wrap?)
n (gradient?)
0.000000 (threshold for detection (xlow))
n (wrap?)
n (gradient?)
0.000000 (threshold for detection (xlow))
n (wrap?)
n (gradient?)