Description Usage Arguments Value References Examples
View source: R/calcLakeMetrics.R
This function is a wrapper function for all of the metrics. It calculates each metric for an input lakeMorphoClass. This returns a list of all metrics
1 2 3 4 5 6 7 8  calcLakeMetrics(
inLakeMorpho,
bearing,
pointDens,
slope_quant = 0.5,
correctFactor = 1,
zmax = NULL
)

inLakeMorpho 
an object of 
bearing 
Numeric that indicates the bearing of the desired fetch. 
pointDens 
Number of points to place equidistant along shoreline for

slope_quant 
The slope quantile to use to estimate maximum depth. Defaults to the median as described in (Hollister et. al, 2011). 
correctFactor 
Value used to correct the predicted maximum lake depth. Defaults to 1. Corrections are simply accomplished by multiplying estimated max depth by correction factor. Correction factors can be determined empirically by regressing the predicted depth against a known maximum depth while forcing the intercept through zero. The slope of the line would then be used as the correction factor(Hollister et. al, 2011). 
zmax 
Maximum depth of the lake. If none entered and elevation dataset
is inlcuded in inLakeMorpho, 
Returns a list with all lake metrics calculated for a given input lakemorpho object
Florida LAKEWATCH (2001). A Beginner's guide to water management  Lake Morphometry (2nd ed.). Gainesville: Florida LAKEWATCH, Department of Fisheries and Aquatic Sciences. Link
Hollister, J. W., W.B. Milstead (2010). Using GIS to Estimate Lake Volume from Limited Data. Lake and Reservoir Management. 26(3)194199. doi: 10.1080/07438141.2010.504321
Hollister, J. W., W.B. Milstead, M.A. Urrutia (2011). Predicting Maximum Lake Depth from Surrounding Topography. PLoS ONE 6(9). doi: 10.1371/journal.pone.0025764
1 2  data(lakes)
calcLakeMetrics(inputLM, bearing = 45, pointDens = 250)

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