add_conservation_calcs: Add Conservation Risks

In ConSciR: Tools for Conservation Science

Add Conservation Risks

Description

Appends columns for conservation-risks: mould risk, preservation indices, equilibrium moisture, and moisture content for wood to a dataframe with temperature and relative humidity columns.

Usage

add_conservation_calcs(mydata, Temp = "Temp", RH = "RH", ...)

Arguments

mydata	A dataframe containing temperature and relative humidity data.
Temp	Character string name of the temperature column (default "Temp").
RH	Character string name of the relative humidity column (default "RH").
...	Additional parameters passed to humidity calculation functions.

Value

Dataframe augmented with conservation variables:

Mould_LIM

Mould risk threshold humidity from Zeng equation (numeric).

Mould_risk

If there is a risk of mould from Zeng equation. Adds label: "Mould risk" or "No risk".

Mould_rate

Mould growth rate index from Zeng equation, labelled output.

Mould_index

Mould risk index from VTT model (continuous scale).

PreservationIndex

Preservation Index for collection longevity.

Lifetime

Lifetime Multiplier for object material degradation risk.

EMC_wood

Wood equilibrium moisture content (%) under current climate conditions.

See Also

calcMould_Zeng for 'Mould_LIM', 'Mould_risk', 'Mould_rate'

calcMould_VTT for 'Mould_index'

calcPI for 'PreservationIndex'

calcLM for 'Lifetime'

calcEMC_wood for 'EMC_wood'

Examples

# mydata file
filepath <- data_file_path("mydata.xlsx")
mydata <- readxl::read_excel(filepath, sheet = "mydata", n_max = 5)

mydata |> add_conservation_calcs() |> dplyr::glimpse()

ConSciR documentation built on Nov. 5, 2025, 5:25 p.m.