weeklyInterpolate: Interpolate LTER data to weekly

In hdugan/NTLlakeloads: Tools for the analysis of long-term NTL-LTER data

Interpolate LTER data to weekly

Description

Interpolates dataframe of observations to weekly timestep at 1 m depth intervals. Uses the premise that nutrient profiles should match temperature profiles

Usage

weeklyInterpolate(
  lakeAbr,
  var,
  dataset,
  maxdepth,
  constrainMethod = "zero",
  setThreshold = 0.1,
  printFigs = FALSE
)

Arguments

lakeAbr	Lake identification, string
var	Variable of interest. Use availableVars() to see available variables.
dataset	NTL dataset with the variable of interest downloaded via loadLTER...() functions
maxdepth	Maximum depth of lake
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)
setThreshold	Threshold of RMSE for interpolation. Use units of variable. If the function returns many predict.lm warnings, the threshold should be increased.
printFigs	Output individual profiles of interpolation? Options TRUE or FALSE (default)

Value

returns a list [[1]]: observation data [[2]]: dataframe with three columns, data, depth, and var #' @examples #Interpolate TP data NTLnutrients = loadLTERnutrients() weeklyInterpolate.1D(lakeAbr = 'ME',var = 'drp_sloh',dataset = NTLnutrients)

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