field_obs

Example field observations that could be compared to classified STIC data.

datasets

A collection of functions for processing raw data from Stream Temperature, Intermittency, and Conductivity (STIC) loggers. 'STICr' (pronounced "sticker") includes functions for tidying, calibrating, classifying, and doing quality checks on data from STIC sensors. Some package functionality is described in Wheeler/Zipper et al. (2023) <doi:10.31223/X5636K>.

Samuel C. Zipper

STICr

Process Stream Temperature, Intermittency, and Conductivity
(STIC) Sensor Data

Sam Zipper

Christopher T. Wheeler

Stephen Cook

Delaney Peterson

Sarah Godsey

field_obs function

## `field_obs`
A data frame with 5 rows and 3 columns:<dl>
 <dt>datetime</dt>
<dd>Date and time of field observation.</dd> <dt>wetdry</dt>
<dd>Field observation of stream water status (`wet` or `dry`).</dd> <dt>SpC</dt>
<dd>Field observations of specific conductance.</dd>
</dl>

Format

Example field observations that could be compared to classified STIC data. — field_obs

## `field_obs`
A data frame with 5 rows and 3 columns:<dl>
 <dt>datetime</dt>
<dd>Date and time of field observation.</dd>

 <dt>wetdry</dt>
<dd>Field observation of stream water status (`wet` or `dry`).</dd>

 <dt>SpC</dt>
<dd>Field observations of specific conductance.</dd>


</dl>

field_obs: Example field observations that could be compared to classified STIC data.

Description

Usage

Arguments

Format