Installation
About
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).
www.pik-potsdam.de/~kriewald/osc/ |
Key Metrics
Downloads
Yesterday | 15 +200% |
Last 7 days | 41 +3% |
Last 30 days | 154 +10% |
Last 90 days | 432 -34% |
Last 365 days | 2.000 -29% |