Formula that takes the coordinates of digitized shell increments and interpolates a number of sub-increments between them to increase the time resolution of the growth model. The number of interpolated shell increments as well as the relative thickness of these increments is determined by a sinusoidal seasonal model that simulates seasonal variations in shell growth rate. de Winter, N. J. (2017) <doi:10.5194/gmd-2017-137>
Oyster_incr_cross_section(incr_matrix, cross_section, season_length,
Tstep=1, Xstep=0.1)
Matrix listing characteristics of each digitized increment
Digitized cross section of the shell with shell top, bottom and growth increments relative to a common X-axis
Length (in days) of the growth season of the studied bivalve
The step size (dt) in time (days) used to interpolate the existing shell increments
The step size (dx) in X-direction used to interpolate coordinates of shell increments
List of two data frames:
Matrix of X- and Y-coordinates of all interpolated sub-increments
Revised version of the "incr_matrix" data frame that contains characteristics (sub-increment number, X-value of start of increment) recalculated for every sub-increment
Sub-increments are reconstructed by interpolating Y-values between the digitized shell increments
de Winter, N. J.: ShellTrace v1.0 ? A new approach for modelling growth and trace element uptake in marine bivalve shells: Model verification on pacific oyster shells (Crassostrea gigas), Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-137, in review, 2017.
# NOT RUN {
Lsub<-Oyster_incr_cross_section(incr_matrix3, cross_section, season_length=250,
Tstep=1, Xstep=1)
# }
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