文章基本信息

标题：RQGIS: Integrating R with QGIS for Statistical Geocomputing
本地全文：下载
作者：Jannes Muenchow ; Patrick Schratz ; Alexander Brenning 等
期刊名称：R News
印刷版ISSN：1609-3631
出版年度：2017
卷号：9
期号：2
页码：409-428
语种：English
出版社：The R Foundation for Statistical Computing
摘要：Integrating R with Geographic Information Systems (GIS) extends R’s statistical capabilities with numerous geoprocessing and data handling tools available in a GIS. QGIS is one of the most popular open-source GIS, and it furthermore integrates other GIS programs such as the System for Automated Geoscientific Analyses (SAGA) GIS and the Geographic Resources Analysis Support System (GRASS) GIS within a single software environment. This and its QGIS Python API makes it a perfect candidate for console-based geoprocessing. By establishing an interface, the R package RQGIS makes it possible to use QGIS as a geoprocessing workhorse from within R. Compared to other packages building a bridge to GIS (e.g., rgrass7, RSAGA, RPyGeo), RQGIS offers a wider range of geoalgorithms, and is often easier to use due to various convenience functions. Finally, RQGIS supports the seamless integration of Python code using reticulate from within R for improved extendability.