Description Usage Arguments Details Value
mask.L
masks L likelihood based on a certain extent from previous days
filter prediction
1 
pred.t 
is prediction at t1 that is used for 1) the size of the mask and 2) multiplying with L for resulting post likelihood surface 
L.t 
is data based likelihood layer, L[t], for the time step of interest (usually a day) 
lon 
vector of longitude values corresponding to dims of the previous 2 layers 
lat 
vector of latitude values corresponding to dims of the previous 2 layers 
par0 
is vector of movement parameter values, likely output from

bound.thr 
is numeric indicating the percent threshold that is added and subtracted from the bounding box of the filter output from the previous day before masking. Default is .05 (5 percent). 
minBounds 
is size (in degrees) of the minimum bounding box around the previous days filter prediction that L data within that box will be included. Outside this box (centered on t1 filter prediction), L will be masked out. 
L likelihood is masked based on a percent size (in addition to) the extent of the previous days prediction kernel. If that kernel is smaller than the migratory kernel being used, the migratory kernel size is defaulted to. User can also specify a minimum bound size.
post matrix as a product of the input prediction and L values
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