climenv (version 1.0.0)

plot_c: plot_c

Description

Creates a graph using the climate and elevation data which has been extracted for a given location. It accepts the data formatted from the ce_extract function.

Usage

plot_c(
  data,
  geo_id,
  interval_prec = 20,
  interval_temp = 5,
  stretch_temp = 4,
  p_cex = 1,
  nchr_main = 32,
  l_main = 0.1,
  l_prec = 0,
  l_month = -0.6,
  lwd_temp = 1.5,
  lwd_prec = 9,
  l_units = 0.1,
  l_tcols = c(14.5, 16.5, 18.5, 19.5, 22.5)
)

Value

Returns a base R family of plot. This function uses the dismo package to calculate isothermality (ISO), temperature seasonality (TS) and precipitation seasonality (PS).

Arguments

data

List. Containing climate, elevation and latitude data sets. Structured by ce_extract().

geo_id

Character. Corresponding to a specific feature contained in the "location" argument (specifically in the "location_g" column).

interval_prec

Numeric. Interval of the precipitation axis.

interval_temp

Numeric. Interval of the temperature axis.

stretch_temp

Numeric. Ratio for stretching temperature relative to precipitation.

p_cex

Numeric. Text size for entire plot.

nchr_main

Numeric. Controls the number of characters of the main title before wrapping to a new line.

l_main

Numeric. Line position of the main title.

l_prec

Numeric. Line position of the y axis (precipitation).

l_month

Numeric. Line position of the x axis (months).

lwd_temp

Numeric. Line width of temperature.

lwd_prec

Numeric. Line width of precipitation.

l_units

Numeric. Line position of precipitation and temperature units.

l_tcols

List. Line position of the table columns. Must be length 5 corresponding to the position (left to right) for each column.

Author

James L. Tsakalos and Martin R. Smith

References

Pizarro, M, Hernangómez, D. & Fernández-Avilés G. (2023). climaemet: Climate AEMET Tools. Comprehensive R Archive Network. tools:::Rd_expr_doi("10.5281/zenodo.5205573")

Walter, H.B., & Lieth, H. (1960). Klimadiagramm-Weltatlas. VEB Gustav Fischer Verlag, Jena.

See Also

Download climate data: ce_download()

Examples

# Step 1. Import the Italian Biome polygon data
# Step 2. Run the download function
# Step 3. Run the extract function
#* See ce_download & ce_extract documentation

# Steps 1, 2 & 3 can be skipped by loading the extracted data (it_data)
data("it_data", package = "climenv")

# Step 4. Visualise the climatic envelope using our custom diagram

# first lets store the default graphics parameters
# we need to make some changes to ensure that the table fits in the plotting
# region.

# Set up plotting parameters
oldpar <- par(mar = c(1.5, 2.2, 1.5, 14) + 0.01)

plot_c(
  it_data, geo_id = "MED",
  l_tcols = c(14.5, 17, 18.5, 19.5, 21)
)

# Restore user options
par(oldpar)

# This output works if you export to a three column width sized image.