High spatial resolution phenological modelling at continental scales
Understanding phenological variability
Tool to perform cluster analysis of multi-dimensional geospatial data, running on local or distributed systems.
Clustering Geo-data Cubes (CGC) includes various implementations of co- and tri-clustering algorithms to efficiently carry out cluster analysis on both small and large data sets, using either local or distributed resources. Tutorials illustrate how to use this Python tool with real-world geospatial raster data.