Monthly chlorophyll time series for the Hillsborough Bay segment of Tampa Bay as a tidal object. Raw data are those in chldat with the addition of further processing using the tidal and wrtds functions. Model predictions are obtained for the tenth, median, and ninetieth conditional quantile of chlorophyll. The object also inherits methods from the data.frame class. The processed data includes columns for date, chlorophyll-a (res, in log-space), salinity as fraction of freshwater (flo, i.e., 0 - 1, with higher values indicating more freshwater), the detection limit for all stations for the respective date, a logical column indicating if the observed chlorophyll is at or below the detection limit, the date as decimal time minus the year, the month from 1 to 12, the year, and total decimal time. Attributes include column names, row names, class of the object, matrices of interpolation grids from the weighted regression for each conditional quantile, and vector of salinity values that were used to create the interpolation grids.
tidobjA tidal and data.frame object with 156 rows and 9 variables:
dateDate
resnumeric
flonumeric
limnumeric
not_censlogical
day_numnumeric
monthnumeric
yearnumeric
dec_timenumeric