R Package gdistance: Distances and Routes on Geographical Grids

By J. Etten. 2017

671 citations recorded by the source corpus.

The R package gdistance provides classes and functions to calculate various distance measures and routes in heterogeneous geographic spaces represented as grids. Least-cost distances as well as more complex distances based on (constrained) random walks can be calculated. Also the corresponding routes or probabilities of passing each cell can be determined. The package implements classes to store the data about the probability or cost of transitioning from one cell to another on a grid in a memory-efficient sparse format. These classes make it possible to manipulate the values of cell-to-cell movement directly, which offers flexibility and the possibility to use asymmetric values. The novel distances implemented in the package are used in geographical genetics (applying circuit theory), but also have applications in other fields of geospatial analysis.

Subfields: Ecology, Global and Planetary Change, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/497bf77be969f2e037180f4567859e5c725e0526

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Citations in the corpus

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables (2018, methodology): “We first derive buffer distances for each333 individual point, using the buffer function in the raster package (Hijmans and van Etten, 2017):334 > grid.dist0 <- GSIF::buffer.dist(meuse["zinc"], meuse.grid[1], as.factor(1:nrow(meuse))) which derives a gridded map for each observation point.”