Returns a matrix of network distances between all observations of one unique fish.
riverdistancematbysurvey(indiv, unique, survey, seg, vert, rivers, full = TRUE, stopiferror = TRUE, algorithm = NULL)
indiv | The unique identifier of the fish in question. |
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unique | A vector of identifiers for each fish. |
survey | A vector of identifiers for each survey. It is recommended to use a numeric or date format (see as.Date) to preserve survey order. |
seg | A vector of river locations (segment component). |
vert | A vector of river locations (vertex component). |
rivers | The river network object to use. |
full | Whether to return the full matrix, with |
stopiferror | Whether or not to exit with an error if a route cannot be
found. If this is set to |
algorithm | Which route detection algorithm to use ( |
A matrix of distances (numeric), with rows and columns defined by survey.
Building routes from the river mouth to each river network segment and/or distance lookup tables will greatly reduce computation time (see buildsegroutes).
data(Gulk, fakefish) riverdistancematbysurvey(indiv=1, unique=fakefish$fish.id, survey=fakefish$flight, seg=fakefish$seg, vert=fakefish$vert, rivers=Gulk)#> 1 2 3 4 5 6 7 8 9 #> 1 0.00 95083.922 NA 104647.183 136363.88 NA NA 79431.13 74981.17 #> 2 95083.92 0.000 NA 9563.261 41279.96 NA NA 74322.80 20102.75 #> 3 NA NA NA NA NA NA NA NA NA #> 4 104647.18 9563.261 NA 0.000 31716.70 NA NA 83886.06 29666.01 #> 5 136363.88 41279.962 NA 31716.701 0.00 NA NA 115602.76 61382.72 #> 6 NA NA NA NA NA NA NA NA NA #> 7 NA NA NA NA NA NA NA NA NA #> 8 79431.13 74322.799 NA 83886.060 115602.76 NA NA 0.00 54220.05 #> 9 74981.17 20102.754 NA 29666.015 61382.72 NA NA 54220.05 0.00 #> 10 38838.20 56245.722 NA 65808.983 97525.68 NA NA 40592.93 36142.97 #> 10 #> 1 38838.20 #> 2 56245.72 #> 3 NA #> 4 65808.98 #> 5 97525.68 #> 6 NA #> 7 NA #> 8 40592.93 #> 9 36142.97 #> 10 0.00riverdistancematbysurvey(indiv=1, unique=fakefish$fish.id, survey=fakefish$flight, seg=fakefish$seg, vert=fakefish$vert, rivers=Gulk, full=FALSE)#> 1 2 4 5 8 9 10 #> 1 0.00 95083.922 104647.183 136363.88 79431.13 74981.17 38838.20 #> 2 95083.92 0.000 9563.261 41279.96 74322.80 20102.75 56245.72 #> 4 104647.18 9563.261 0.000 31716.70 83886.06 29666.01 65808.98 #> 5 136363.88 41279.962 31716.701 0.00 115602.76 61382.72 97525.68 #> 8 79431.13 74322.799 83886.060 115602.76 0.00 54220.05 40592.93 #> 9 74981.17 20102.754 29666.015 61382.72 54220.05 0.00 36142.97 #> 10 38838.20 56245.722 65808.983 97525.68 40592.93 36142.97 0.00