plotCatMaps: Create a map of a categorical variable of interest from...

In paulhegedus/OFPE: On-Farm Precision Experiments (OFPE) Data Management and Analysis Tools

Create a map of a categorical variable of interest from provided data.

Description

Function for creating a map with a Google satellite basemap and the rasterized map of a variable supplied by the user. The user supplies the column name to search for in the data to map, the legend label, and the main label. They also must provide the name of the field mapped and the farmer that manages it. Assumes a categorical variable and thus a discrete scale is applied. For mapping continuous numeric data see plotMaps().

Usage

plotCatMaps(
  df,
  var_col_name,
  var_label,
  var_main_label,
  fieldname,
  farmername,
  utm_zone
)

Arguments

df	Data.frame or data.table with data to be mapped. Must include columns labeled 'x' and 'y' and for the data that is to be mapped.
var_col_name	The name of the column of the variable in the supplied data ('dat'). This can be a vector corresponding with 'var_label' and 'var_main_label'.
var_label	The label to be applied to the legend of the map corresponding to the variable mapped. This can be a vector corresponding with 'var_col_name' and 'var_main_label'.
var_main_label	The main label to apply to the map. This can be a vector corresponding with 'var_col_name' and 'var_label'.
fieldname	Unique field name corresponding to all fields used in the simulation.
farmername	Name of the farmer managing the field. Used to identify UTM zone and for figure labeling.
utm_zone	The user must provide the UTM zone of the data.

Value

If one variable for plotting is passed as an argument, a map of selected variable is returned, otherwise a list with the map for each variable the user passed in will be returned.

paulhegedus/OFPE documentation built on Nov. 23, 2022, 5:09 a.m.