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This R package is a compilation of functions to calculate numerical
agricultural soil management indicators from on a management timeline of
an arable field. The functions can also be used independently of the
management timeline to calculate some indicators or parts thereof.
Throughout the package, many assumptions were made (e.g. on time to crop
establishment). These assumptions are, whenever possible, based on the
literature that is cited within the function descriptions. The
assumptions are considered to be representative for temperate
agroecosystems, for example the Swiss midlands. SoilManageR
organizes management data in management data frames
management_df()
, from this the indicators can then be
calculated. For the calculations there are main functions and helper
functions that are called by the main functions (Fig. 1). Both type of
functions rely on reference data for their calculations. The package is
distributed with some supporting documents.
We suggest to start the workflow with importing a
management_df()
from a XLSX template.
library(SoilManageR)
#define path to excel template in the SoilManageR package
internal_path <- "/extdata/SoilManageR_mgmt_data_template_V2.5.xlsx"
#create local path
path_to_xlsx_template <- system.file(internal_path, package = "SoilManageR")
#load management_df
mgmt_data <- management_df_from_excel(path_to_xlsx_template)
Then the management_df()
can be checked for internal
consistency with the check_management_df()
function.
When the management_df()
shows no issues, then all
indicators can be calcualted with
calculate_indicators()
Alternatively, the indicators could be calculated individually
All helper functions can be called directly, please check the description of the functions for more information on them.
For further information on SoilManageR please contact olivier.heller@agroscope.admin.ch.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.