Clustering Geo-Data Cubes (CGC): A Clustering Tool for Geospatial Applications

F. Nattino; Ou Ku; M.W. Grootes; R. Goncalves; Emma  Izquierdo Verdiguier; Serkan  Girgin; R. Zurita-Milla

doi:10.5281/zenodo.3979172

Clustering Geo-Data Cubes (CGC): A Clustering Tool for Geospatial Applications

F. Nattino (Developer), Ou Ku (Developer), M.W. Grootes (Developer), R. Goncalves (Developer), Emma Izquierdo Verdiguier (Developer), Serkan Girgin (Developer), R. Zurita-Milla (Developer)

Research output: Non-textual form › Software › Academic

Abstract

Clustering Geo-Data Cubes (CGC) is a Python package to perform clustering analysis for multidimensional geospatial data. The included tools allow the user to efficiently run tasks in parallel on local and distributed systems.

Original language	English
Publisher	GitHub
Media of output	Online
DOIs	https://doi.org/10.5281/zenodo.3979172
Publication status	Published - 2020

Keywords

Software

Access to Document

10.5281/zenodo.3979172Licence: Other

https://github.com/phenology/cgcLicence: Other

1 Other

Clustering geo-data cubes
Zurita-Milla, R., Izquierdo Verdiguier, E., Girgin, S., Nattino, F., Ku, O., Grootes, M. W. & Goncalves, R., 4 Sept 2020, p. S1-S16. 16 p.
Research output: Contribution to conference › Other › Academic

Open Access
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Cite this

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author = "F. Nattino and Ou Ku and M.W. Grootes and R. Goncalves and {Izquierdo Verdiguier}, Emma and Serkan Girgin and R. Zurita-Milla",

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A2 - Izquierdo Verdiguier, Emma

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Clustering Geo-Data Cubes (CGC): A Clustering Tool for Geospatial Applications

Abstract

Keywords

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Research output

Clustering geo-data cubes

Cite this