osc
Orthodromic Spatial Clustering
Allows distance based spatial clustering of georeferenced data by implementing the City Clustering Algorithm - CCA. Multiple versions allow clustering for a matrix, raster and single coordinates on a plain (Euclidean distance) or on a sphere (great-circle or orthodromic distance).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.5 |
rolling linux/jammy R-4.5 | osc_1.0.5.tar.gz |
711.6 KiB |
1.0.5 |
rolling linux/noble R-4.5 | osc_1.0.5.tar.gz |
711.5 KiB |
1.0.5 |
rolling source/ R- | osc_1.0.5.tar.gz |
1.1 MiB |
1.0.5 |
latest linux/jammy R-4.5 | osc_1.0.5.tar.gz |
711.6 KiB |
1.0.5 |
latest linux/noble R-4.5 | osc_1.0.5.tar.gz |
711.5 KiB |
1.0.5 |
latest source/ R- | osc_1.0.5.tar.gz |
1.1 MiB |
1.0.5 |
2026-04-26 source/ R- | osc_1.0.5.tar.gz |
1.1 MiB |
1.0.5 |
2026-04-23 source/ R- | osc_1.0.5.tar.gz |
1.1 MiB |
1.0.5 |
2026-04-09 windows/windows R-4.5 | osc_1.0.5.zip |
717.4 KiB |
1.0.5 |
2025-04-20 source/ R- | osc_1.0.5.tar.gz |
1.1 MiB |