lbusett/sprawl: Spatial Processing (in) R: Amorphous Wrapper Library

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.

Getting started

Package details

Maintainer
LicenseGPL-3 + file LICENSE
Version0.3.0
URL https://github.com/lbusett/sprawl/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("lbusett/sprawl")
lbusett/sprawl documentation built on Dec. 8, 2018, 1:22 a.m.