Jekyll2025-02-05T10:37:36+00:00https://juliohm.github.io/feed.xmlSystematic LearningLearning how to learn.Júlio Hoffimannjuliohm@arpeggeo.techCiência de Dados nas Geociências2024-11-14T00:00:00+00:002024-11-14T00:00:00+00:00https://juliohm.github.io/science/b2s-talkInteresting discussion on data science in the geosciences. YouTube captions can translate from Brazilian Portuguese.

]]>Júlio Hoffimannjuliohm@arpeggeo.techGeoStats.jl at JuliaEO 20242024-01-23T00:00:00+00:002024-01-23T00:00:00+00:00https://juliohm.github.io/science/geostatsGeoStats.jl at JuliaEO 2024.

]]>Júlio Hoffimannjuliohm@arpeggeo.techGeoTables.jl at JuliaEO 20242024-01-23T00:00:00+00:002024-01-23T00:00:00+00:00https://juliohm.github.io/science/geotablesGeoTables.jl at JuliaEO 2024.

]]>Júlio Hoffimannjuliohm@arpeggeo.techGeospatial Data Science with Julia2023-10-05T00:00:00+00:002023-10-05T00:00:00+00:00https://juliohm.github.io/science/geodatascienceGeospatial Data Science with Julia presents a fresh approach to data science with geospatial data and the Julia programming language. It contains best practices for writting clean, readable and performant code in geoscientific applications involving sophisticated representations of the (sub)surface of the Earth such as unstructured meshes made of 2D and 3D geometries.

By reading this book, you will:

  1. Get a broader perspective on geospatial data
  2. Learn advanced geostatistical algorithms
  3. Reproduce practical open source examples

Most importantly, you will learn a set of geospatial features that is much richer than the simple features implemented in traditional geographic information systems (GIS).

If you would like to support the book, consider starring it on GitHub: https://github.com/JuliaEarth/geospatial-data-science-with-julia

]]>Júlio Hoffimannjuliohm@arpeggeo.techGeociência de dados com GeoStats.jl2023-07-09T00:00:00+00:002023-07-09T00:00:00+00:00https://juliohm.github.io/science/sig-talkGeociência de dados com GeoStats.jl no SIG 2023 na UNICAMP.

]]>Júlio Hoffimannjuliohm@arpeggeo.techIntroduction to Julia & GeoStats.jl at Z_GIS2023-06-12T00:00:00+00:002023-06-12T00:00:00+00:00https://juliohm.github.io/science/zgis-talkIntroduction to Julia and GeoStats.jl at Z_GIS.

]]>Júlio Hoffimannjuliohm@arpeggeo.techMineral Domaining at Arpeggeo®2023-04-15T00:00:00+00:002023-04-15T00:00:00+00:00https://juliohm.github.io/science/mineraldomainingDemonstration of our mineral domaining workflow.

]]>Júlio Hoffimannjuliohm@arpeggeo.techGeodata Science Hands-on at JuliaEO 20232023-01-23T00:00:00+00:002023-01-23T00:00:00+00:00https://juliohm.github.io/science/aircentre-talkHands-on session on geodata science with GeoStats.jl at JuliaEO 2023.

]]>Júlio Hoffimannjuliohm@arpeggeo.techAdvanced Geodata Science at Arpeggeo®2022-11-17T00:00:00+00:002022-11-17T00:00:00+00:00https://juliohm.github.io/science/geodatascienceDemonstration of our advanced geodata science platform.

]]>Júlio Hoffimannjuliohm@arpeggeo.techTalk at IMPA2022-08-13T00:00:00+00:002022-08-13T00:00:00+00:00https://juliohm.github.io/science/geomet-talkIn this talk I discuss our recent paper on geostatistical modeling of geometallurgical variables. We introduce the challenges in the mining industry and share some interesting modeling ideas.

]]>Júlio Hoffimannjuliohm@arpeggeo.tech