At Arpeggeo® we believe that geostatistical knowledge is key to advance machine learning technology in industries that manage geospatial resources (e.g., mining, energy, agriculture).
We help
- Decision makers plan activities more quickly and online as geospatial data becomes available
- Geoscientists build geospatial models more easily with artificial intelligence methodologies
- Data scientists customize geospatial workflows with our advanced open-source software
All through research and development of custom high-performance solutions powered by Julia.
For more information, please check our website.
- FOSS4G2024 - Geospatial Data Science with Julia at FOSS4G 2024.
- UFMG2024 - Minicurso de Geociência de Dados na Mineração na UFMG 2024.
- UNCTAD2024 - Workshop on geospatial technology for SDGs 2024.
- JuliaEO2024 - Global Workshop on Earth Observation with Julia 2024.
- UFMG2023 - Minicurso de Geociência de Dados na Mineração na UFMG 2023.
- JuliaEO2023 - Global Workshop on Earth Observation with Julia 2023.
- CBMina2021 - Congresso Brasileiro de Minas a Céu Aberto e Minas Subterrâneas 2021.
| Repository | Description |
|---|---|
| awesome-mining-data | Curated list of open datasets in the mining industry. |
| julia-distributed-computing | The ultimate guide to distributed computing in Julia. |