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Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
ArcGIS Geoprocessing via Python
Provides access to ArcGIS geoprocessing tools by building an interface between R and the ArcPy Python side-package via the reticulate package.
Spatiotemporal Resampling Methods for 'mlr3'
Extends the mlr3 ML framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored.
Toolkit for Basic LPJmL Handling
A collection of basic functions to facilitate the work with the Dynamic Global Vegetation Model (DGVM) Lund-Potsdam-Jena managed Land (LPJmL) hosted at the Potsdam Institute for Climate Impact Research (PIK). It provides functions for performing LPJmL simulations, as well as reading, processing and writing model-related data such as inputs and outputs or configuration files.
Use 'QGIS' Processing Algorithms
Provides seamless access to the 'QGIS' (< https://qgis.org/en/site/>) processing toolbox using the standalone 'qgis_process' command-line utility. Both native and third-party (plugin) processing providers are supported. Beside referring data sources from file, also common objects from 'sf', 'terra' and 'stars' are supported. The native processing algorithms are documented by QGIS.org (2023) < https://docs.qgis.org/latest/en/docs/user_manual/processing_algs/>.