[GRASS-stats] Summer School in Geocomputation - Berkeley - USA

[Giuseppe Amatulli]

Dear colleagues,

With the objective of enhancing programming skills in Geocomputation and
prepare new scientists in deals with large geo-data,

in August 2018 we organize a summer school at Berkeley.

*International Summer School:*

*Geocomputation using free and Open Source Software** (20th-24th August
2018) *

organized by Spatial Ecology (www.spatial-ecology.net)
 - Venue: *Berkeley Institute of Data
Science *

A 5 days intense experience opening new horizons on the use of the vast
potentials of *Linux* environment and the command line approach for
*geo-data* massive processing using Bash, AWK, Python, GRASS, QGIS,
GDAL/OGR, R, PKtools. We will guide newbies and experienced GIS users who
have never used a command line terminal to a stage which will allow them to
understand and apply very advanced open source data processing routines.
Our focus is to enhance a self-learning approach. This allows participants
to keep on progressing and improving their skills in a continuously
evolving technological environment.

More information and registration:

www.spatial-ecology.net
www.facebook.com/spatialecology  -> event


twitter: @BigDataEcology

Best regards
Spatial Ecology – Team

-- 
Giuseppe Amatulli, Ph.D.

Research scientist at
Yale School of Forestry & Environmental Studies
Yale Center for Research Computing
Center for Science and Social Science Information
New Haven, 06511
Teaching: http://spatial-ecology.net
Work:  https://environment.yale.edu/profile/giuseppe-amatulli/
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[GRASS-stats] Summer School in Geocomputation - Berkeley - USA

[Giuseppe Amatulli]

Dear colleagues,

the registration is open now for the

*International Summer School:*
*Geocomputation using free and Open Source Software** (20th-24th August
2018) *

organized by Spatial Ecology (www.spatial-ecology.net)
 hosted at the *Berkeley Institute of Data
Science *

A 5 days intense experience opening new horizons on the use of the vast
potentials of *Linux* environment and the command line approach for
*geo-data* massive processing using Bash, AWK, Python, GRASS, QGIS,
GDAL/OGR, R, PKtools. We will guide newbies and experienced GIS users who
have never used a command line terminal to a stage which will allow them to
understand and apply very advanced open source data processing routines.
Our focus is to enhance a self-learning approach. This allows participants
to keep on progressing and improving their skills in a continuously
evolving technological environment.

More information and registration:

www.spatial-ecology.net
www.facebook.com/spatialecology  -> event


twitter: @BigDataEcology

Best regards
Spatial Ecology – Team

-- 
Giuseppe Amatulli, Ph.D.

Research scientist at
Yale School of Forestry & Environmental Studies
Yale Center for Research Computing
Center for Science and Social Science Information
New Haven, 06511
Teaching: http://spatial-ecology.net
Work:  https://environment.yale.edu/profile/giuseppe-amatulli/
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