diag_hisafe_monthcells: Plot monthCells diagnostics of Hi-sAFe output
In kevinwolz/hisafer: An R Toolbox for the Hi-sAFe Biophysical Agroforestry Model

Description Usage Arguments Details Value See Also Examples

Creates three tile plots of every Hi-sAFe monthCells output variable, one plot for each possible plot_hisafe_monthcells facet scheme. All plots are saved as png files to a specifified output path.

diag_hisafe_monthcells(
  hop,
  output.path = NULL,
  schemes = c("year.simname", "month.simname", "month.year"),
  trees = TRUE,
  canopies = TRUE,
  tree.simus = FALSE
)

`hop`	An object of class "hop" or "face" containing output data from one or more Hi-sAFe simulations.
`output.path`	A character stting indicating the path to the directory where plots should be saved. Plots are saved in a subdirectory within this directory named /monthCells/facetScheme. If no value is provided, the experiment/simulation path is read from the hop object, and a directory is created there called "analysis/diagnostics".
`schemes`	A character vector of the facet schemes to run. Possible schemes are described in Details and have the following names: `year.simname`, `month.simname`, `month.year`.
`trees`	Logical indicating if a point should be plotted at the location of each tree.
`canopies`	Logical indicating if an elipsoid should be plotted representing the size of each tree canopy.
`tree.simus`	Logical indicating whether only simulations containing trees should be plotted.

The default data presentation for each of the facet schemes is: Year~SimulationName plots are for Month==6, every 5 years from 0:max, and all simulations. Month~SimulationName plots are for Year==median, all 12 months, and all simulations. Month~Year plots are for all 12 months and every 5 years from 0:max, with each simulation in its own plot.

Invisibly returns a list of ggplot objects, grouped into two sublists based on the faceting scheme. The first sublist contains Year~SimulationName, and the second contains Month~SimulationName.

Other hisafe diagnostic fucntions: diag_hisafe_annualcells(), diag_hisafe_cells(), diag_hisafe_ts(), diag_hisafe_voxels()

## Not run: 
# After reading in Hi-sAFe simulation data via:
mydata <- read_hisafe(path = "mydir", simu.names = "MySimulation")

# You can create tile plots of every monthCells variable:
diag_hisafe_monthcells(mydata)

## End(Not run)