The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
R Package gdistance : Distances and Routes on Geographical Grids
Abstract
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.
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Results from gdistance are comparable to other software such as ArcGIS and GRASS.
“According to van Etten (2017), the results from gdistance are comparable to other software such as ArcGIS and GRASS.”
From Probabilistic modelling for incorporating uncertainty in least cost path results: a postdictive roman road case study (2021) · cites this paper as van Etten, 2017
The least costly path to move from the origin to the destination does not totally overlap with the path along which one moves in the opposite direction.
“The least costly path to move from the origin to the destination (solid black line) does not totally overlap with the path along which one moves in the opposite direction (solid blue line) [52].”
From movecost: an R package for calculating accumulated slope-dependent anisotropic cost-surfaces and least-cost paths (2019) · cites this paper as [52]
Citations
Cites
USING CIRCUIT THEORY TO MODEL CONNECTIVITY IN ECOLOGY, EVOLUTION, AND CONSERVATION
McRae, B. H., Dickson, B. G., Keitt, T. H., & Shah, V. B. (2008) · Ecology · doi:10.1890/07-1861.1 · Cited by 2,244
McRae, B. H. (2006) · Evolution · doi:10.1111/j.0014-3820.2006.tb00500.x · Cited by 1,081
The electrical resistance of a graph captures its commute and cover times
Chandra, A. K., Raghavan, P., Ruzzo, W. L., Smolensky, R., & Tiwari, P. (1996) · Computational Complexity · doi:10.1007/bf01270385 · Cited by 328
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Lewis, J. (2021) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-021-09522-w · Cited by 53
Alberti, G. (2019) · SoftwareX · doi:10.1016/j.softx.2019.100331 · Cited by 40
Páez, A., Anjum, Z., Dickson-Anderson, S. E., Schuster-Wallace, C. J., Martín Ramos, B., & Higgins, C. D. (2020) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2019.102564 · Cited by 38
Service, C. N., Bourbonnais, M., Adams, M. S., Henson, L., Neasloss, D., Picard, C., Paquet, P. C., & Darimont, C. T. (2020) · Ecological Solutions and Evidence · doi:10.1002/2688-8319.12014 · Cited by 15
The importance of energetics in archaeological least cost analysis
Field, S., Glowacki, D. M., & Gettler, L. T. (2023) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-022-09564-8 · Cited by 13
Filet, C., & Rossi, F. (2025) · Journal of Archaeological Science · doi:10.1016/j.jas.2025.106177 · Cited by 5
Hardt, J., Nir, N., & Schütt, B. (2023) · The Cartographic Journal · doi:10.1080/00087041.2022.2150363 · Cited by 2
Conflicts and Collisions With an Endangered Carnivore: Landscape Drivers and Spatial Risk Pattern
Prat‐Guitart, M., Onorato, D. P., Hines, J. E., & Oli, M. K. (2026) · Ecology and Evolution · doi:10.1002/ece3.73931
“Least-cost distance to protected area a (km) Least-cost distance from each grid cell to the nearest protected area (> 1 km 2 ), calculated using the gdistance R package (van Etten 2017).”
Progress and prospects of quantitative simulation research on ancient human migration paths
Wang, L., Peng, P., Liu, X., & Chen, F. (2025) · Chinese Science Bulletin · doi:10.1360/tb-2025-0148
Metadata
- Authors
- van Etten, J.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2017
- Volume
- 76
- Issue
- 13
- ISSN
- 1548-7660
- Cited by
- 439
- References
- 3
- Language
- en
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