plot_c: plot_c

In climenv: Download, Extract and Visualise Climate and Elevation Data

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)
)

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.

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).

Author(s)

James L. Tsakalos and Martin R. Smith

References

Pizarro, M, Hernangómez, D. & Fernández-Avilés G. (2023). climaemet: Climate AEMET Tools. Comprehensive R Archive Network. \Sexpr[results=rd]{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.

climenv documentation built on Nov. 3, 2023, 1:08 a.m.