Simplify execution of **frequently performed spatial processing tasks** (e.g., reading and writing spatial datasets, extracting statistics from large datasets, etc.) **by providing a single and (hopefully) simpler access point to functionalities spread in the `R` packages ecosystem.** The aforementioned broad objectives are accomplished in `sprawl` by: 1. Providing simple **wrappers to common-use functions** for reading/writing spatial data and performing common-use operations; 2. Providing **optimized functions for performing some frequently used processing tasks**, by using custom `sprawl` functions or exploiting functions provided by less-known packages; 3. Optimizing **code execution speed** by providing under-the-hood support for multi-core processing using for example `foreach` looping along raster bands or `raster::MakeCluster` functionality; 4. Providing **custom functions or workflows for performing more complex processing tasks**, involving the sequential application of different processing steps; 5. Simplifying **access and further analysis of processing results**, by carefully formatting processing outputs to easy to use `R` objects. 6. Providing **custom functions for visualization** of processing results.
|License||GPL-3 + file LICENSE|
|Package repository||View on GitHub|
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