R is becoming an increasingly popular language for interactive geographic data and graph analysis thanks to robust and well-mantained packages like sf and igraph/tidygraph.
Spatial networks, such as transport networks, river basins, power grids and geolocated social networks, have both a graph and a spatial nature that can be better understood and analysed when represented in a clear and consistent class system.
At present, however, no mature, well tested and tidy class exists for spatial network data, representing a gap in R’s spatial and network analysis ecosystems.
For these reasons we invite you to join a hackathon on spatial networks on the date TBD. The hackathon is an official satellite event of the ERUM2020 conference, and it will be focussed on developing and testing of the new R package on spatial networks: sfnetworks.
Anyone with an interest in spatial networks and open source software is invited, especially if you have experience with real world spatial network data that could be used in documentation or experience developing software for working with spatial or graph datasets (particularly R packages).
We want to offer an effective, easy-to-use package and we think that the best way to start would be to tackle real problems that R users in this field face. Hence, participants will be encouraged to propose their own problems using our github issue tracker with the ad-hoc hackathon-template and labels.
Attendees can explore these issues with the development version of our package, and create Pull Requests and/or feedback issues to improve it. We will also suggest a few research questions and provide several example datasets and vignettes showing how the package works.