weeklyTempInterpolate: Interpolate temperature data to weekly
In hdugan/NTLlakeloads: Tools for the analysis of long-term NTL-LTER data

View source: R/interpolateTempFunctions.R

weeklyTempInterpolate

R Documentation

Interpolate temperature data to weekly

Description

Interpolates dataframe of observations to weekly timestep at 1 m depth intervals. Uses simple linear interpolation

Usage

weeklyTempInterpolate(
  lakeAbr,
  maxdepth,
  dataset = LTERtemp,
  constrainMethod = "zero"
)

Arguments

`lakeAbr`	Lake identification, string
`maxdepth`	Maximum depth of lake
`dataset`	temperature dataset. Default woudl be LTERtemp loaded via loadLTERtemp()
`constrainMethod`	Options to constrain interpolation. Options are 'zero' (cannot go below zero, cannot go 1.5x above max, default) and 'range' (can not go beyond range of observed data)

Value

returns a list [[1]]: observation data [[2]]: dataframe with three columns, data, depth, and var #' @examples #Interpolate temp data LTERtemp = loadLTERtemp() weeklyTempInterpolate(lakeAbr = 'ME', maxdepth = 24, dataset = LTERtemp)

hdugan/NTLlakeloads documentation built on June 16, 2024, 6:59 p.m.