Top Tweets for #GeoStatistics
I just added a new chapter on Multiple-Point Simulation for generating categorical spatial realizations to my free, online e-book,
"Applied #Geostatistics in Python"
Check out this accessible introduction to a powerful spatial modeling method, including the core theory, step-by-step code, and a simple demonstration @:
https://t.co/b0OZ3mVkPc
Yesterday, Professors @GeostatsGuy and @johntfoster hosted the DIRECT Consortium annual meeting on the Forty Acres.
We had 18 technical talks delivered by 13 outstanding #Longhorn #PhD students, showcasing exciting work in #Energy #DataScience #AI #MachineLearning #Geostatistics and #DataAnalytics. I’m incredibly proud of this amazing graduate student team!
We welcome additional companies interested in joining DIRECT and partnering with us on impactful R&D. I’d be happy to discuss. #WhatStartsHere
Are you learning #DataScience, #DataAnalytics, #Geostatistics, #MachineLearning, #DeepLearning, or anything related? They all build on a foundation of probability!
I’ve got you covered with a free e-book chapter on probability:
https://t.co/xAeIDBibGj clear notes, Python code, demonstration workflows, interactive examples, and YouTube lectures. I’m here to help. #WhatStartsHere
One of my students in my #DataAnalytics and #Geostatistics course missed the chance to give their “stats moment” in class, so I offered them the option to share it here on @X instead.
“How long is the coast of Britain?”
I love seeing an undergraduate go beyond the core #DataScience content and explore the power of fractal math and scale dependence.
#longhorn #HookEm
Today I introduce #MachineLearning in my #DataAnalytics and #Geostatistics course. I’m completely stoked to help demystify ML by discussing training and tuning, the bias-variance trade-off, the risk of overfitting, and how to build models that actually generalize. Engineers ready for #DataScience! Stoked!
Yesterday in my #DataAnalytics and #Geostatistics class we learned how to calculate a variogram! 📈
We walked through key concepts like range, nugget effect, and how we quantify spatial continuity. Then I introduced the search template required when working with irregularly sampled spatial data. 🧭
After that we opened my interactive #Python dashboard and calculated an experimental variogram together, experimenting with unit lag distance, azimuth, lag and azimuth tolerance, and bandwidth. 🐍💻
I am always stoked when the class can explore these ideas hands-on and see the variogram calculation in real time!
I share the dashboard on #GitHub:
https://t.co/afh2nbhkdE
This week in my #DataAnalytics and #Geostatistics course we jump into bivariate statistics! 📊📈
After introducing Pearson and Spearman correlation coefficients, I unleash my interactive #Python @matplotlib demo.
Here’s the fun part…
🎲 1,000 completely random data points.
No real relationship. Everything looks clean.
Then…
💥 Add ONE outlier.
Suddenly the Pearson correlation coefficient = 1.0 🤯
Perfect correlation… from pure randomness + one mischievous point!
Meanwhile, the Spearman rank correlation just smiles and says:
“Hold my borscht.” 🥣😎
Boom 💪 — robust to the outlier.
It’s such a powerful visual lesson: Sensitivity vs. robustness. Why we must always look at the data 👀
I share the full interactive workflow here on #GitHub:
https://t.co/aajPHzGBda
Have fun experimenting! 🚀
#InvitedReview
"Uncertainty quantification for digital soil mapping: An overview" by Prof. A-Xing ZHU and coleagues from Nanjing Normal University & @UWMSTP .
#DigitalSoilMapping #Uncertainty #Pedometrics #Geostatistics #MachineLearning
🔗https://t.co/ytABzYTkMZ
Bootstrap day in my #DataAnalytics and #Geostatistics undergraduate course!
Here at #UTAustin when I teach #Longhorns about statistical resampling with replacement to calculate an uncertainty model - I wear my boots and hat!
Students sample colored blocks from my hat to calculate uncertainty in a proportion! Stoked!
I’m totally stoked! 🚀 Next Monday I kick off my #DataAnalytics and #Geostatistics course.
Because of my Fall 2024 sabbatical, I haven’t taught geostatistics for almost two years—and I’ve really missed it. I miss the wonder of explaining these ideas for the first time:
• heteroscedasticity
• stationarity
• Gaussian anamorphosis
• spatial estimation
• stochastic simulation
What I love most is making all of this practical—through clear course notes, interactive demonstrations, and hands-on breakout activities in class.
Geostatistics truly changed my life. It gave me the tools to tackle complex spatial challenges across so many domains, and I’m incredibly excited to share that spatial lens to explore the world with a new group of students.
I share it all online for anyone around the world! Check it out at https://t.co/HGqqHDQKcu.
Got some time over winter break and want to build new #DataScience skills? I’ve got you covered with my free, online e-books:
1. Applied #MachineLearning in #Python
2. Applied #Geostatistics in Python
Each e-book blends theory, hands-on practice, fully worked demonstration workflows, and interactive dashboards, all linked directly to my #YouTube lectures.
I’m a professor and I'm stoked to support students and working professionals everywhere—learn at your own pace and keep growing. 🚀📊
Links:
https://t.co/EJttOfxPOl
https://t.co/k9WQGX0jAM
I’m stoked! My #DataAnalytics and #Geostatistics course for Spring 2026 is already filling up with students excited to dive into #spatial #data and its real-world impact.
Yes, the classroom is almost full, but the best part is this, I make all of the content freely available to anyone in #Texas and beyond.
The world’s biggest challenges are spatial, and geostatistics (theory and practice) is essential for the prosperity, safety, and health of communities everywhere. I’m grateful for the chance to teach it and to share these tools as broadly as possible.
Free online, e-book: https://t.co/k9WQGX0jAM
Course Lectures: https://t.co/ltl6tUDnD4
#WhatStartsHere
Yes, I teach and research in #MachineLearning — but do you know my first love? 💚 #Geostatistics!
I’ve always been fascinated by spatial phenomena — making maps, exploring patterns, and uncovering how relationships evolve across space. 🌍✨
To help my students experience the power of spatial analysis firsthand, I built an interactive #Python dashboard using @matplotlib.
Add random noise to a 1D spatial dataset and watch how the experimental relative nugget effect reveals your noise signal in real time!
🚀 When I say I’m sharing my entire #DataAnalytics and #Geostatistics course with anyone eager to learn — I’m not joking! 😀📊
🎓 Here it is! Imagine, every lecture is paired with a free online e-book, plus hands-on, well-documented #Python workflows and interactive dashboards that make data and methods come alive! 🐍💻📈
🌍 @GeostatsGuy is here to guide you on your #DataScience journey — because the world’s biggest challenges are spatial, and mastering #Geostatistics is how we’ll tackle them together! 💪🌐
Let’s make an impact. 🔥I'm stoked!
#WhatStartsHere Open, accessible, actionable education is my raison d'être!
👉 Watch the full course here:
🎥 https://t.co/HGqqHDQKcu∀.
Hi, I’m Professor Michael Pyrcz, also known as the GeostatsGuy. I make all of my educational content freely available online to support anyone with a passion for learning #DataScience, #DataAnalytics, #Geostatistics, #MachineLearning, & #DeepLearning.
Over the years, I’ve built out a comprehensive library of resources, including e-books, hands-on workflows, interactive dashboards, YouTube lectures, a Python package, etc. - all accessible and actionable!
Why do I do it? Because education changed my life, and this is my way of paying it forward.
Explore my full collection of free resources here:
👉 https://t.co/ikPlw8Ro03.
Where are vaccines missing the mark?
🧭🩺 A new study maps vaccine coverage using geostatistics & machine learning - revealing the best tools to find and fix coverage gaps in low-data regions. 🌍📊
#DataForGood #Geostatistics #LeaveNoOneBehind
🔗 https://t.co/taR9ZhdPQu
Did you know that I have recorded all my university lectures in my office and share them on my YouTube channel?
✅ 3 courses,
✅ 2 supplementary lecture series, and
✅ random talks!
on #DataAnalytics, #Geostatistics & #MachineLearning!
I’m stoked to see that my channel has almost reach 1,000,000 views, reaching so many on and off campus! https://t.co/uX4zpuBbeG
We're excited to welcome Ozen Turkekul to #DahrougeGeo! With 20+ years in #ResourceModeling & #geostatistics, including experience at Wood/AMEC and University of Alberta training, Ozen brings exceptional expertise in geological modeling and QA/QC protocols.
🌍🔥 Interested in #Spatial data, #DataAnalytics, and #Geostatistics — using Python?
Then you’ll love this! 🚀🐍📊
📘 Check out my totally FREE, 100% online e-book:
👉 https://t.co/k9WQGX0jAM ∀
💡 What’s inside?
🎥 Links to my YouTube lectures
📊 Interactive dashboards to explore
📁 >40 downloadable chapters with real #Python code you can apply to your own data
🔍 Perfect for students, researchers, working professionals, and data enthusiasts alike!
Let’s dig into the world of #geostats together! 🌎🧠🧪
I had an incredible time teaching a 2-day short course on #Spatial #DataAnalytics and #Geostatistics at @HessCorporation in Houston.
What a fantastic group of engineers and geoscientists—your insightful questions and engaging discussions made the experience truly rewarding. It was a pleasure to cover topics like probability, statistics, spatial estimation and simulation, model checking, and decision-making under uncertainty.
A big thank you to Simon Guscott for hosting and to the entire team for the warm welcome and enthusiastic participation!
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