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

[Giuseppe Amatulli]

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>Dear Colleagues,
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>The registration for the below course is still open. Apply if you wanna improve your geo-processing capability.
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>Best
>Giuseppe
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>Dear Colleagues,
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>In view of enhancing computation skills in the geographic domain, https://www.spatial-ecology.net is organising:
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>a Fall 2026 training Course: *Geocomputation and Machine Learning for Environmental Applications* (intermediate level)
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>(https://www.spatial-ecology.net/pages/courses/2026/open_call_fall2026)
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>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.
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>Consider that early bird discount is available if you register and pay by 30 May 2026.
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>Please forward to announce these opportunities within your network.
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>Sincerely,
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>Giuseppe Amatulli  & the Spatial Ecology Team
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>Geocomputation and Machine Learning for Environmental Applications  (intermediate level;  September, October, November, 2026)
>(https://www.spatial-ecology.net/pages/courses/2026/open_call_fall2026)
>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.
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>More information and registration: www.spatial-ecology.net
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