#geostatistics
New paper on the integration of autonomous underwater vehicles and geostatistics. A new method for informed path planing and real-time data assimilation >> 'Geostatistical uncertainty maps for real-world efficient AUV data collection'

www.frontiersin.org/journals/mar...
Frontiers | Geostatistical uncertainty maps for real-world efficient AUV data collection
Autonomous Underwater Vehicle (AUV) trajectory planning for oceanographic surveys is challenging and requires comprehensive and efficient data collection for...
www.frontiersin.org
October 16, 2025 at 2:34 PM
link 📈🤖
The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics (Wakefield, Gao, Fuglstad et al) In low- and middle-income countries (LMICs), accurate estimates of subnational health and demographic indicators are critical for guiding policy and identifying dis
June 23, 2025 at 5:40 PM
New paper is out. We model covid-19 in mainland Portugal and propose the basis of an early warning system for epidemic events based on #geostatistics and machine learning. We use the Lisbon Metropolitan Area as pilot case study --> link.springer.com/article/10.1...
September 1, 2023 at 12:46 PM
We’ve designed it to be fast, flexible and easy to use:
- Works seamlessly with Scanpy, Squidpy and AnnData (@scverse_team compatible)
- Plug-and-play any ST dataset
- Outputs spatially informed scores
- Geostatistics-inspired metrics to evaluate gene sets
June 2, 2025 at 11:23 AM
Generative geomodelling: Deep Learning vs. Geostatistics
https://doi.org/10.31223/X5B732
June 21, 2025 at 10:00 AM
Interestingly, people applying cultural evolution to archaeology (evolutionary archaeologists 😅?), probably closer to fields like geostatistics and so on, have been using null model similar to IBD models for a while (cf early 2010s papers from @ercrema.bsky.social, Shennan, etc.)
July 31, 2025 at 2:08 PM
Lu Zhang, Wenpin Tang, Sudipto Banerjee
Bayesian Geostatistics Using Predictive Stacking
https://arxiv.org/abs/2304.12414
May 22, 2024 at 4:03 AM
Exciting update! I added two brand-new chapters to my free e-book, Applied Geostatistics in Python:

1️⃣ An introductory chapter covering fundamental #geostatistics definitions

2️⃣ A practical chapter on coordinate transformations

Check it out: geostatsguy.github.io/GeostatsPyDe...#DataScience
November 26, 2024 at 3:18 AM
We would encourage you to submit an #EGU25 #EGU2025 abstract related to #geostatistics to the session

"Advanced Geostatistical Methods and Uncertainty Analysis in Hydrological and Environmental Sciences"

meetingorganizer.copernicus.org/EGU25/sessio...

Looking forward to meeting you in Vienna!
January 6, 2025 at 11:16 AM
📝 Dialetto, ma Quanto Dialetto? Transcribing and Evaluating Dialects on a Continuum
🔎 We predict speech-to-text model performance on dialect continua with geostatistics.
👥 Ryan Soh-Eun Shim, Barbara Plank
🔗 arxiv.org/abs/2410.14589
📁Findings - Long
Dialetto, ma Quanto Dialetto? Transcribing and Evaluating Dialects on a Continuum
There is increasing interest in looking at dialects in NLP. However, most work to date still treats dialects as discrete categories. For instance, evaluative work in variation-oriented NLP for English...
arxiv.org
April 29, 2025 at 3:03 PM
Integrative Spatial Modelling of Cellular Plasticity using Graph Neural Networks and Geostatistics [new]
GNNs & geostatistics predict cell state variation in spatial transcriptomics.
September 26, 2025 at 3:06 AM
no time! i'm on the march! (doin' spatial geostatistics)
May 26, 2025 at 6:53 PM
🚨 𝗙𝗿𝗲𝗲 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗮𝗹𝗲𝗿𝘁: 🚨 the 𝗺𝗯𝗴 package streamlines model-based geostatistics, with applications ranging from spatial ecology and epidemiology to regional planning.

If you want to predict spatial outcomes based on contextual factors, this package is for you! henryspatialanalysis.github.io/mbg/
Model-Based Geostatistics
Modern model-based geostatistics for point-referenced data. This package provides a simple interface to run spatial machine learning models and geostatistical models that estimate a continuous (raster...
henryspatialanalysis.github.io
April 30, 2025 at 11:38 PM
Elevate your #geospatialresearch with #BioRankings! Join us tomorrow to learn how their Geostatistics Consulting Core can enhance your #geospatial projects with statistical solutions.
Thurs, Jan 30 · 11am - 12pm CT
Register 👉 https://tinyurl.com/36j9jza3
January 29, 2025 at 8:52 PM
complexity and data pre-processing requirements. IINI demonstrates the broader applicability of statistical physics concepts within the field of geostatistics, highlighting their potential to enrich and expand traditional geostatistical methods. [6/6 of https://arxiv.org/abs/2504.15781v1]
April 23, 2025 at 6:19 AM
link 📈🤖
On Ignorability of Preferential Sampling in Geostatistics (Lu, Xu, Yang et al) Preferential sampling has attracted considerable attention in geostatistics since the pioneering work of Diggle et al. (2010). A variety of likelihood-based approaches have been developed to correct estimation
November 6, 2025 at 4:33 PM
🎥 #TeamTales No. 35 is here! Meet Jonathan Frank, PhD candidate in the GIScience group of Prof. Alexander Brenning at @uni-jena.de. 🌍 He is developing methods for recognizing groundwater trade pollution, using geostatistics AI & ML. 🚀
#Groundwater #Pollution #Geostatistics #AI #MachineLearning
December 11, 2024 at 3:01 PM
Integrative Spatial Modelling of Cellular Plasticity using Graph Neural Networks and Geostatistics https://www.biorxiv.org/content/10.1101/2025.09.24.678189v1
September 26, 2025 at 2:48 AM
I added a glossary to my free, online e-book,

Applied Geostatistics in Python: a Hands-on Guide with GeostatsPy

Writing a glossary is a lot of work, but I was motivated by student feedback. I'm stoked!

Check it out @ geostatsguy.github.io/GeostatsPyDe... ∀.
#DataScience #Python
December 16, 2024 at 4:53 PM
More AI hype!
I was offered a job in 1979 to use geostatistics to generate probabilistic estimates of ore reserves from geophysical data & boring logs. Which is what they're calling AI here. (Turned it down because I'd have to move.) […]
Original post on mastodon.social
mastodon.social
July 13, 2024 at 5:51 PM
observed spatial field as a multidimensional tensor and recover missing values by enforcing a global low-rank structure. Our approach combines ideas from tensor completion and geostatistics, providing a robust optimization framework. Experiments on [2/3 of https://arxiv.org/abs/2506.04869v1]
June 6, 2025 at 6:05 AM
🚀 Ready to boost your spatial data skills?

Join our Spatial Statistics with R course and go from theory to hands-on practice:
✨ Spatial sampling & point patterns
✨ Geostatistics & regression models
✨ ML for spatial variables
✨ Big datasets & satellite imagery

👉 shorturl.at/X6TQ1
Spatial Statistics with R
17-21 November 2025
www.physalia-courses.org
August 18, 2025 at 2:29 PM