Description Usage Format See Also

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.

1 |

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

`tidalmean`

for full list of attributes in tidalmean objects and `wrtds`

for creating the `fits`

, `bt_fits`

, and `scls`

interpolation grids.

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