Slides for the useR! 2021 Regular Talk on Tidy Geospatial Networks in R.
Geospatial networks are graphs embedded in geographical space. That means that both the nodes and edges in the graph can be represented as geographic features: the nodes most commonly as points, and the edges as linestrings. They play an important role in many different domains, ranging from transportation planning and logistics to ecology and epidemiology. The structure and characteristics of geospatial networks go beyond standard graph topology, and therefore it is crucial to explicitly take space into account when analyzing them. The sfnetworks R package is created to facilitate such an integrated workflow. It brings together the sf package for spatial data science and the tidygraph package for standard graph analysis. The core of the package is a data structure that can be provided as input to both the graph analytical functions of tidygraph as well as the spatial analytical functions of sf, without the need for conversion. Additionally, it offers a set of geospatial network specific functions, such as routines for shortest path calculation, network cleaning and topology modification. The package is designed as a general-purpose package suitable for usage across different application domains, and can be seamlessly integrated in “tidy” workflows that use the tidyverse packages for data science.
Session info here