Monthly chlorophyll time series for Hillsborough Bay as a tidal object, conditional mean model

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 tidalmean and wrtds functions. Model predictions are obtained using weighted regression for the conditional mean 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, an interpolation grid from the weighted regression for the mean response, a back-transformed interpolation grid from the weighted regression for the mean response, and vector of salinity values that were used to create the interpolation grids.

tidobjmean

Format

A tidalmean and data.frame object with 156 rows and 9 variables:

date

Date

res

numeric

flo

numeric

lim

numeric

not_cens

logical

day_num

numeric

month

numeric

year

numeric

dec_time

numeric

See also

tidalmean for full list of attributes in tidalmean objects and wrtds for creating the fits, bt_fits, and scls interpolation grids.