Where are the Julians?
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dataviz
music
Old Love
I can feel your body When I’m lying in bed There’s too much confusion Going around through my head And it’s making me so angry To know that the flame stil...
Dia Branco
Se você vier Pro que der e vier Comigo Eu lhe prometo o sol Se hoje o sol sair Ou a chuva Se a chuva cair Se você vier Até onde a gente chegar Numa ...
It Takes a Lot to Know a Man
It takes a lot to know a man It takes a lot to understand The warrior, the sage The little boy enraged It takes a lot to know a woman A lot to understa...
science
GeoTables.jl at JuliaEO 2024
GeoTables.jl at JuliaEO 2024.
GeoStats.jl at JuliaEO 2024
GeoStats.jl at JuliaEO 2024.
Geospatial Data Science with Julia
Geospatial Data Science with Julia presents a fresh approach to data science with geospatial data and the Julia programming language. It contains best practi...
Geociência de dados com GeoStats.jl
Geociência de dados com GeoStats.jl no SIG 2023 na UNICAMP.
Introduction to Julia & GeoStats.jl at Z_GIS
Introduction to Julia and GeoStats.jl at Z_GIS.
Mineral Domaining at Arpeggeo®
Demonstration of our mineral domaining workflow.
Geodata Science Hands-on at JuliaEO 2023
Hands-on session on geodata science with GeoStats.jl at JuliaEO 2023.
Advanced Geodata Science at Arpeggeo®
Demonstration of our advanced geodata science platform.
Talk at IMPA
In this talk I discuss our recent paper on geostatistical modeling of geometallurgical variables. We introduce the challenges in the mining industry and shar...
Hilbert-Kriging
How to interpolate objects in Hilbert spaces?
Talk at Geostats2021
Talk for the Geostats2021 conference discussing the generalization error of learning models under covariate shift and spatial correlation. We illustrate with...
GeoStats.jl FOSS4G workshop
FOSS4G is the largest international conference on geospatial open source software. I invite everyone to participate in the GeoStats.jl workshop therein.
Talk at JuliaCon 2021
My vision for the future of Geostatistics with GeoStats.jl.
Geostatistical Learning: Challenges and Opportunities
I am happy to share a paper accepted in Frontiers in Applied Mathematics and Statistics in which we introduce Geostatistical Learning. Please follow the link...
GeoStats.jl Survey 2020
The GeoStats.jl project has grown a lot this year, and we would like to learn more about its community. Please consider this quick survey that will help us f...
Variography game
What is spatial correlation? How to describe it properly?
GeoStats.jl Tutorials
Happy to announce a series of video tutorials on GeoStats.jl.
Morphodynamic Analysis and Statistical Synthesis of Geomorphic Data
I am happy to share a paper accepted in JGR:ES in which we analyze and synthesize the morphodynamics of rivers on the Earth surface via spatial stochastic mo...
GeoStats.jl v0.10
I’m happy to release GeoStats.jl v.0.10. This release comes with some new exciting features including:
Efficient Variography with Partition Variograms
I am happy to share a paper accepted in C&G in which we generalize the concept of directional variograms to general partitions of spatial data. In the pa...
Declustered statistics
Why it is important to take spatial coordinates of samples into account when computing statistics?
GeoStats.jl IAMG workshop
I am happy to announce a workshop on GeoStats.jl at IAMG 2019. The conference will take place at Penn State College, USA from August 10 to August 16. The num...
Long time don’t post…
Long time don’t post. This is a quick update on a new repository where I will be adding GeoStats.jl tutorials. Current contents are pasted below:
Talk at CSDMS 2018
I am happy to share a short talk at CSDMS 2018 with my current research investigations on geomorphology and extreme events. A paper is coming out soon with a...
GeoStats.jl paper published in JOSS
I am happy to share a paper accepted in JOSS for the GeoStats.jl framework. It is been a real pleasure to interact with the community and to learn about the ...
Synthesizing videos of flume experiments with neural networks
I am happy to share a poster for a class project in which neural networks are trained to synthesize new videos of flume experiments. Results show that the co...
My first Earthquake
January 4, 2018. It was late night at Stanford when an Earthquake gently woke me up. In this post, I would like to share how I used open data and GeoStats.jl...
Forecasting PV Power Time Series Data
I am happy to share a poster in collaboration with Bennet Meyers where we investigated various models for multi-step, short-term forecasting of aggregate PV ...
Sequence Mining and Pattern Analysis in Drilling Reports with Deep Natural Language Processing
I am happy to share a short application paper in collaboration with Youli Mao that we wrote as part of our summer internship at Halliburton Inc. The obtained...
Hydrostatigraphic Modelling using Multiple-point Statistics and Airbone Transient Electromagnetic Methods
I am happy to share a paper in collaboration with Adrian Barfod, in which we compare Single Normal Equation Simulation, Direct Sampling, and Image Quilting o...
Technology and Attention Control
A talk by Tristan Harris educating us about the dangers of social media and modern apps designed to control our attention.
Talk at JuliaCon 2017
A talk I gave at JuliaCon 2017 about ImageQuilting.jl. The first slide of the presentation was cut from the video, but it will hopefully be fixed soon.
3 Principles for Creating Safer AI
A talk by Stuart Russel discussing principles to achieve human-compatible AI:
Stochastic Simulation by Image Quilting of Process-based Geological Models
I am happy to share a paper accepted in C&G for stochastic simulation of Earth models. The accepted manuscript and the open source software are both avai...
Point Lobos State Natural Reserve
In this beautiful short, professors Stephan Graham and Donald Lowe share their views on Point Lobos—an uplifted ancient submarine canyon located near Montere...
Super fast pattern search: The FFT trick
In today’s post, I would like to document an old trick in image processing sometimes referred to as “The FFT trick” for exhaustive pattern search.
Flipping coins in continuous time: The Poisson process
In this post, I would like to contrast two ways of thinking about a coin flip process—one of which is very intuitive and one of which can be very useful for ...
ENODe’s: Neural networks with organic devices!
My ex-roommate Scott Keene and another colleague of mine from Brazil Gregório Faria co-authored this nice paper on ENODe’s: an organic electronic device for ...
traveling
Point Lobos State Natural Reserve
In this beautiful short, professors Stephan Graham and Donald Lowe share their views on Point Lobos—an uplifted ancient submarine canyon located near Montere...