srvy.process {RSurvey} | R Documentation

## Process Survey Data

### Description

This function limits the spatial and temporal domains of raw data and corrects for erroneous state variable measurements.

### Usage

    srvy.process(const.tin = FALSE)

### Arguments

`const.tin` | a logical; if `TRUE` interpolation is used to construct a surface map of the state variable.

### Details

Erroneous state variable measurements are identified by calculating the change in `z` over the change in time for sequential data records. Those gradients exceeding a user defined tolerance, `grad.tol` (see `srvy.dat`), are identified as erroneous measurements. After excluding these measurements the process is repeated until all gradients are less than the user specified tolerance. An exception to the tolerance constraint is made for sequential records whose time difference is greater than a specified time gap, `time.gap` (see `srvy.dat`).

### Value

A data frame `data.mod` and list `data.tin` are stored within `srvy.dat`.

### Author(s)

Fisher, J. C.

### See Also

`mba.surf`

### Examples

    data(confluence)
    srvy.process(const.tin = TRUE)

[Package RSurvey version 0.4.5 Index]