📄 New our preprint: Moving Beyond Spatial and Random Cross-Validation in Environmental Modelling: A Call for Prediction-Domain Adaptive Evaluation

arxiv.org/abs/2605.136...

#SpatialStats #Ecology #MachineLearning

📄 New our preprint: Moving Beyond Spatial and Random Cross-Validation in Environmental Modelling: A Call for Prediction-Domain Adaptive Evaluation

https://arxiv.org/abs/2605.13689v1

#SpatialStats #ecology #machinelearning

Finally on bluesky! Yikes! Hope to connect with folks in GIScience, spatial econometrics, uban planning, housing, and Geography!!!

#GIScience #spatialstats #datascience #econometrics #gentrification #spatial #geography #urbanplanning #housing #machinelearning #geoAI #datavisualization #python

📄 New(-ish) post by David O’Sullivan

A clear, hands-on exploration of the Modifiable Areal Unit Problem using simulation and R, showing how scale and aggregation can reshape spatial patterns and interpretation.

geospatialstuff.com/posts/2026/0...

#GIS #SpatialStats #RStats #RSpatial

🚀 Kicking off an exciting week with Prof. Edzer Pebesma leading us through Spatial Statistics in R! 🌍📊 Thrilled to have an amazing group of attendees joining from all corners of the world! #SpatialStats #Rstats #Rspatial

I was chatting with a colleague about their #PhD viva on #spatialstats and I showed them this diagram that I made as as part of my thesis to help me understand the building blocks of #spatial models, especially for #inla. #statssky. pg 254 tinyurl.com/3ymp26p3

🔉NEW VACANCY!
We are recruiting for a Statistician, specialising in Applied Spatial Statistics. This is a permanent position, based in our Offshore Renewables Group. Deadline: 20 Nov More info: www.bioss.ac.uk/vacancies/st...
#statistics #statsjobs #statisticalecology #spatialstats

.@RolliEcology, @MurphyWestwood this looks relevant to our ongoing work! http://onlinelibrary.wiley.com/doi/10.1111/brv.12359/abstract #conservation #spatialstats @ScientistESS

🗺️ Bugallo et al. propose spatio-temporal M-quantile models for small area estimation — robust methods for when data is sparse and spatial structure does the heavy lifting. #SmallAreaEstimation #SpatialStats → doi.org/10.1093/jrss... (8/10)

🧪 Revised inference framework applied to GWR/MGWR addresses multiple testing, improving statistical validity of local estimates. Enhances robustness of spatial parameter interpretation across regions.
#SpatialStats #Methodology #MultipleTesting #Inference #GWR #MGWR #Python #OpenScience 5/5