Helping people to learn free and open source technology for spatio-temporal data analyses, modelling and big data processing
We offer training courses tailored specially to your needs
Find out more about the free and open source software, tools and hardware we use for spatial analysis for BigData
Follow the tutorials on our Wiki
A super computer in a box – a high performance mini-cluster: click here for more details on purchase/training
Spatial Ecology is incorporated as not for profit organisation limited by guarantee, based in Cornwall, UK. We are an extraordinary and passionate group of people, organise trainings, travel the world and teach spatio-temporal data analysis and BigData processing using free and open source technology.
We mainly focus on ecosystem related disciplines and use machine learning and data mining techniques to explore satellite, geographical, climatic and environmental data.
Our approach is interdisciplinary and can be applied to other fields of applications such as socio-economical analyses.
If you have complex data sources and the need to extract relevant knowledge for specific questions, we have the expertise to help you.
High Performance Computing
Implement Open Data strategies
Big Data - Social Media
Scenarios and prioritization
Complex data sources
GIS - Geographic Information System
Environment, agriculture & renewable energy
Ecosystem services & natural capital
Mapping and monitoring
Food and Agriculture Organization of the United Nations
GIS Training as support for the National forest assessments for the FAO in Tanzania.
University of Yale, USA
A series of workshops on data-intensive geo-spatial and environmental analysis on an open-source platform
University of Santa Barbara, CA, USA
Summer School: Spatio-temporal analysis and Big Data processing
University of Basilicata, Italy
Summer school: Spatio-Temporal data Analyses and BigData Processing Using Free and Open Source Software
Meet the TEAM
Stefano Casalegno, Ph.D.
Giuseppe M. Amatulli, Ph.D.
UAV AERIAL MAPPING
Aerial mapping and processing of 3D models of very high resolution with UAVs (unmanned aerial vehicles)
Webinar: Earth Observation Data and Smart Analytic with Python: Tom Jones (Satellite Applications Catapult, Harwell, Read more about Deep Learning with Python @ Matera 2017[…]
During this year’s summer school in Matera 2017 Dr. Paul Harris from Rothamsted Research will Read more about GWmodel R package @ Spatial Ecology[…]
Development Fellowship Award Winners Our upcoming summer school is preparing to launch so we’re especially Read more about Development Fellowship Award Winners[…]