qgis_run_algorithm {qgisprocess}

Run an algorithm using 'qgis_process'

Description

Runs an algorithm using 'qgis_process'. See the QGIS docs for a detailed description of the algorithms provided 'out of the box' on QGIS.

Usage

qgis_run_algorithm(
  algorithm,
  ...,
  PROJECT_PATH = NULL,
  ELLIPSOID = NULL,
  .raw_json_input = NULL,
  .quiet = TRUE
)

Arguments

algorithm

A qualified algorithm name (e.g., "native:buffer") or a path to a QGIS model file.

...

Named key-value pairs as arguments for the algorithm. Features of rlang::list2() are supported. These arguments are converted to strings using as_qgis_argument().

PROJECT_PATH, ELLIPSOID

Global values for QGIS project file and ellipsoid name for distance calculations.

.raw_json_input

The raw JSON to use as input in place of .... See Details section.

.quiet

Use FALSE to get extra output from 'qgis_process'. This can be useful in debugging.

Details

qgis_run_algorithm() accepts various R objects as algorithm arguments. An overview is given by vignette("qgis_arguments"). Examples include an R matrix or data frame for the argument type 'matrix', R colors for the argument type 'color', sf or terra (SpatVector) objects for the argument type 'vector' and raster/terra/stars objects for the argument type 'raster', but there are many more. qgis_run_algorithm() preprocesses the provided objects into the format that QGIS expects for a given argument.

Providing R objects that cannot be converted to the applicable argument type will lead to an error.

Algorithm arguments can be passed as arguments of qgis_run_algorithm(), but they can also be combined as a JSON string and fed into the .raw_json_input argument. A JSON string can be obtained from the QGIS GUI, either from the processing tool dialog or from the processing history dialog, by selecting 'Copy as JSON' in the 'Advanced' dropdown menu. So a user can first try out a geoprocessing step in the QGIS GUI, and once the chosen algorithm arguments are satisfactory, copy the JSON string to reproduce the operation in R. A screenshot is available at the package homepage.

Value

A qgis_result object.

Running QGIS models and Python scripts

QGIS models and Python scripts can be added to the Processing Toolbox in the QGIS GUI, by pointing at their corresponding file. This will put the model or script below the provider 'Models' or 'Scripts', respectively. Next, it is necessary to run qgis_configure() in R in order to make the model or script available to qgisprocess (even reloading the package won't detect it, since these providers have dynamic content, not tied to a plugin or to a QGIS version). You can check the outcome with qgis_providers() and qgis_search_algorithms(). Now, just as with other algorithms, you can provide the ⁠model:<name>⁠ or ⁠script:<name>⁠ identifier to the algorithm argument of qgis_run_algorithm().

As the output argument name of a QGIS model can have an R-unfriendly syntax, you may need to take the JSON parameter string from the QGIS processing dialog and feed the JSON string to the .raw_json_input argument of qgis_run_algorithm() instead of providing separate arguments.

Although the 'qgis_process' backend also supports replacing the 'algorithm' parameter by the file path of a model file or a Python script, it is not planned to implement this in qgisprocess, as it would bypass argument preprocessing in R (including checks).

See Also

vignette("qgis_arguments")

Other functions to run one geoprocessing algorithm: qgis_run_algorithm_p()

Examples

qgis_run_algorithm(
  "native:buffer",
  INPUT = system.file("longlake/longlake_depth.gpkg", package = "qgisprocess"),
  DISTANCE = 10
)