Material from the 1st BigSkyEarth Training School – Oberpfaffenhofen 2016

Material from the 1st BigSkyEarth Training School – Oberpfaffenhofen 2016

The 2016 BSE Training School was held in Oberpfaffenhofen Germany in April. Both the Presentations and the exercise Notebooks from the 2016 BSE Training School are available below.

The call was published at http://bigskyearth.eu/apply-to-the-bigskyearth-training-school/, and the results were reported at http://bigskyearth.eu/report-from-the-first-training-school/.

Presentations

04 April, Stefano Cavuoti: Big data and cloud computing

A gentle introduction to the basics of cloud computing and big data processing and analysis.

04 April Marco Quartulli: Open source tools

A more hands-on view on the methodological issues in big data analysis

05 April Marco Quartulli: Earth observation sensors

A very short introduction to Earth observation sensors and feature extraction — to be extended by a further more in-depth presentation.

05 April Eric Feigelson: Astrostatistics

On the value of statistics as a language for sound scientific argumentation

06 April Ashish Mahabal: Sensors in Astronomy

A review of sensors and systems in astronomy

06 April Ashish Mahabal: Feature extraction from time-series data

On the analysis of temporal series of observations

06 April Ashish Mahabal: Clustering and classification

On grouping observations in terms of natural and learned sets

07 April Marco Quartulli: Data structures

On trees and indices

07 April Stefano Cavuoti: The curse of dimensionality

On the challenges of very large descriptor spaces

07 April Giovanni Nico: Application seminar: high resolution weather maps

An applicative seminar on augmenting meteorological analysis with remote sensing observations

08 April Marco Quartulli: Distributed Optimization

On numerical optimisation for big data

08 April Brian McNamee: Visualisation

On integrating machine-based and human-centered analysis

 

Notebooks

(Marco Quartulli)

Open source tools

https://github.com/marcoq/BSE_TS2016_Oberpfaffenhofen/blob/master/04_open_source_tools.ipynb

SDSS similarity matrices

https://github.com/marcoq/BSE_TS2016_Oberpfaffenhofen/blob/master/05_galaxy_sdss_similarity_matrices.ipynb

CTRS

https://github.com/marcoq/BSE_TS2016_Oberpfaffenhofen/blob/master/06_crts.ipynb

Remote sensing similarity matrices

https://github.com/marcoq/BSE_TS2016_Oberpfaffenhofen/blob/master/06_donostia_geoeuskadi.ipynb

 

More material is available from the same GitHub repository at https://github.com/marcoq/BSE_TS2016_Oberpfaffenhofen/