Description Usage Arguments Details Value
View source: R/Isobole_gridRefinementAlgorithm.R
Call arrange_isobole_internal in multiple ways to be a bit more robust. Use either different metric or a different scale. For all scale trafos, reverse them at the end to get the original isobole back
1  | arrange_isobole(iso_unordered, yps = 1e-09)
 | 
iso_unordered | 
 unordered data.table(xp,yp)  | 
yps | 
 an offset for zero-values  | 
1. normal from x = 0 to y = 0
2. log scale
3. order from y = 0 to x = 0
4. log scale from y = 0 to x = 0
5. normal, L1 metric
6. normal, canberra metrix (see dist)
Then, take the path with minimal path length, see getPathlength
an ordered isobole
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