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
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/
