[Geo4All] Course: Geocomputation and Machine Learning for Environmental Applications, fall 2026

[Giuseppe Amatulli]

Dear Colleagues,

In view of enhancing computation skills in the geographic domain, 
https://www.spatial-ecology.net 
<https://urldefense.com/v3/__https:/www.spatial-ecology.net__;!!DOxrgLBm!C_2W6xZtalrn1J2dHpOZIQid9fA4RwGlGLkM7hoyT5V4k0ls7YbMmYJTgPe2PxQz-5ajmNKXIiUyl4LU8aIBJysLAN85XBqxyZIPlJRb$>  
is organising:

a Fall 2026 training Course: *Geocomputation and Machine Learning for 
Environmental Applications* (intermediate level)

(https://www.spatial-ecology.net/pages/courses/2026/open_call_fall2026 
<https://urldefense.com/v3/__https:/www.spatial-ecology.net/pages/courses/2026/open_call_fall2026__;!!DOxrgLBm!C_2W6xZtalrn1J2dHpOZIQid9fA4RwGlGLkM7hoyT5V4k0ls7YbMmYJTgPe2PxQz-5ajmNKXIiUyl4LU8aIBJysLAN85XBqxySGnZXXU$>)

The course will be offered *online* with a supplementary *5-day 
in-person* segment at the University of Basilicata, in the magnificent 
town of Matera, Italy.
This is a wonderful opportunity for PhD students, Post-Docs and 
professionals to acquire advanced computational skills with a Linux 
computer.

Consider that early bird discount is available if you register and pay 
by 30 May 2026.

Please forward to announce these opportunities within your network.

Sincerely,

Giuseppe Amatulli  & the Spatial Ecology Team

Geocomputation and Machine Learning for Environmental Applications  
(intermediate level;  September, October, November, 2026)
(https://www.spatial-ecology.net/pages/courses/2026/open_call_fall2026 
<https://urldefense.com/v3/__https:/www.spatial-ecology.net/pages/courses/2026/open_call_fall2026__;!!DOxrgLBm!C_2W6xZtalrn1J2dHpOZIQid9fA4RwGlGLkM7hoyT5V4k0ls7YbMmYJTgPe2PxQz-5ajmNKXIiUyl4LU8aIBJysLAN85XBqxySGnZXXU$>)
On this course, students will be introduced to an array of powerful 
open-source geocomputation tools and machine learning methodologies in 
the Linux environment. Students who have never been exposed to 
programming in Linux will acquire confidence in using advanced open 
source data processing routines. Those with a programming background 
will find the course beneficial in improving their programming and 
modelling skills. We aim to equip attendees with powerful programming 
tools, as well as hone their abilities for independent development. This 
will be valuable not only for GIS related applications but also for 
general data processing and applied statistical computing in a number of 
fields. We strive to provide the best grounding for career development 
as a geographic data scientist.

More information and registration: www.spatial-ecology.net 
<https://urldefense.com/v3/__http:/www.spatial-ecology.net__;!!DOxrgLBm!C_2W6xZtalrn1J2dHpOZIQid9fA4RwGlGLkM7hoyT5V4k0ls7YbMmYJTgPe2PxQz-5ajmNKXIiUyl4LU8aIBJysLAN85XBqxyRONIQIH$>
(Apply before 30 of May 2026 for an early bird discount)

-- 

___________
Dr. Giuseppe Amatulli,
Director of Spatial Ecology
g.amatulli at spatial-ecology.net
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