Spatial Generalization

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4 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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Latest papers 27

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Puffin: Probabilistic Learning of Spatial Detail From Coarse Observations
Oct 8, 2026Chaitanya Jobanputra, Sebastian Vollmer, Gerrit GroßmannConditional Distribution Estimation Spatial Generalization
DFKI Kaiserslautern, Germany
How Many Independent Samples Does a Satellite Image Contain? Generalization Bounds for Spatially Dependent Data
Oct 6, 2026Robin YoungSpatial Generalization Remote Sensing
Department of Computer Science and Technology University of Cambridge, UK
ReGraph: A Computational Account of Emergent Generalization in the "what" and "where" Dual Visual Streams
Oct 6, 2026Hyewon Kang, Jungmin Lee, Ilgyu Lee +1Spatial Generalization Visual Neuroscience
Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea · Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Republic of Korea · Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
Less is more: error-distance scaling relation for data-efficient kilometer-scale downscaling of extreme heat
Sep 30, 2026Ahmed Marey, Henry Lu, Abhishek Gaur +6Spatial Generalization Scaling Laws
Centre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, H3G 1M8 Canada · Building and Climate Interface, Construction Research Centre, National Research Council Canada, Ottawa, ON, K1A 0R6, Canada · Department of Architecture, School of Sciences and Engineering, The American University in Cairo, New Cairo 11835, Egypt +3
Evaluating Cross-region Generalization for Wavelet-Diffusion Precipitation Downscaling
Sep 23, 2026Weikang Qian, Yixin Wen, Chugang Yi +3Spatial Generalization Precipitation Downscaling
University of Florida, Department of Geography, Gainesville, FL, USA · School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA · Institute for Advanced Computational Science, Stony Brook University, NY, USA +5
Geospatial embeddings detect old-growth forests but buffered spatial validation narrows their advantage over Sentinel features
Sep 23, 2026Thomas Ratsakatika, Mihai Zotta, Srinivasan Keshav +1Geospatial Foundation Models Land Cover Classification
Department of Geography, University of Cambridge, Cambridge, UK · Department of Geography, University of Cambridge, Downing Place, Cambridge, CB2 3EN, United Kingdom · Fundatia Conservation Carpathia, Brasov, Romania +3
MIND the Gap: A Geographic Implicit Neural Representation with Adjustable Spatial Scale
Sep 21, 2026Isaac Corley, Arjun Rao, Esther Rolf +7Geospatial Representation Learning Hierarchical Representation Learning
Taylor Geospatial · University of British Columbia · Vector Institute +7
Quantifying geographic domain shift to decouple the geospatial transferability of human mobility flow generation models
Aug 21, 2026Zhiyong Zhou, Song Gao, Qianheng Zhang +2Spatial Generalization Task Transferability Estimation
GeoDS Lab, Department of Geography, University of Wisconsin-Madison, Madison, WI, USA · School of Earth Sciences & Zhejiang Key Laboratory of Geographic Information Science, Zhejiang University, Hangzhou, China
Evaluating AlphaEarth Foundations Embeddings for Wildfire Susceptibility Mapping
Aug 12, 2026Yuan Zhuang, Sanaa Hobeichi, Peng Shi +1Geospatial Foundation Models Spatial Generalization
1UNSW Sydney, School of Risk and Actuarial Studies, New South Wales, Australia · 2ARC Centre of Excellence for the Weather of the 21st Century, Australia · 3Climate Change Research Centre, University of New South Wales, Sydney, New South Wales, Australia +2
Spatial Heterogeneity-Aware Multi-Hazard Susceptibility and Risk Mapping at Regional Scale
Aug 8, 2026Aswathi Mundayatt, Siddharth Anil, Hitanshu Seth +1Spatial Generalization
Graphics-Visualization-Computing Lab, International Institute of Information Technology Bangalore, Karnataka 560100, India
Balancing multiscale similarity and cartographic constraints: A similarity-driven optimization framework for line generalization
Jul 28, 2026Pengbo Li, Haowen Yan, Xiaomin Lu +1Spatial Generalization Constrained Optimization
Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China · National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China · Key Laboratory of Science and Technology in Surveying & Mapping, Lanzhou 730070, China
Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities
Jul 27, 2026Léo Hein, Giovanni De Nunzio, Aurélie Pirayre +1Spatial Generalization OOD Generalization
IFPEN, 1 et 4 avenue de Bois-Préau, 92852 Rueil-Malmaison, France · Université Gustave Eiffel, CNRS, LIGM, Marne-la-Vallée, 77454, France · Khalifa University, Math Department, Abu Dhabi, UAE
Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models
Jul 5, 2026Santosh JaiswalAutonomous Driving Datasets Zero-Shot Learning
Mind the Gap: Standard 3DGS Evaluation Primarily Measures Near-Trajectory Interpolation
Jul 2, 2026Gaoxiang Jia, Vikram Appia3D Gaussian Splatting Spatial Generalization
Advanced Micro Devices, Inc.
When Context Compensates for Sparse Event History: AlphaEarth for Spatio-Temporal Point-Process Forecasting
Jul 1, 2026Yahya Aalaila, Mouad Elhamdi, Gerrit Großmann +3Temporal Point Processes Spatial Generalization
1German Research Center for Artificial Intelligence (DFKI) · 5Rhineland-Palatinate Technical University of Kaiserslautern-Landau (RPTU) · 2Universit´e Mohammed VI Polytechnique +2
Evolving Spatial Weights for Cartographic Synthesis
Jun 20, 2026Gesiel R. Lopes, Roberto F. da Silva, Mellina Yamamura +4Multi-Objective Evolutionary Optimization Spatial Generalization
Institute of Mathematics and Computer Sciences, University of Sao Paulo, Sao Carlos, Brazil · Biosystems Engineering Department, University of Sao Paulo, Piracicaba, Brazil · Department of Nursing, Federal University of Sao Carlos, Sao Carlos, Brazil +2
Exploring the potential of AlphaEarth and TESSERA embeddings for Fine-scale Local Climate Zone Mapping: A case study across five cities in Switzerland
Jun 18, 2026Htet Yamin Ko Ko, Clement AtzbergerRemote Sensing Image Segmentation Geospatial Foundation Models
International Space Science Institute, Bern, Switzerland · CYCLOPS MRV, United States
Towards Graph-Based Deep Learning for Map Generalization: Insights from Building Footprints Simplification and Aggregation
Jun 18, 2026Yanning Wang, Zhiyong Zhou, Zhouyu Liu +2Graph Neural Networks Link Prediction
The Hong Kong University of Science and Technology (Guangzhou), China · Zhejiang University, China · Mainz University of Applied Sciences, Germany
CityGen: Structure-Guided City-Style Synthesis for Cross-City Autonomous Driving
May 28, 2026Zezhong Qian, Zhao Yang, Lu Tan +4Domain Adaptation Conditional Image Generation
1Jiangsu Cytoderm Intelligent Technology Co., Ltd., China · 2Xi’an Jiaotong University, Xi’an, China · 3Tsinghua University, Beijing, China +1
Slum Detection and Density Mapping with AlphaEarth Foundations: A Representation Learning Evaluation Across 12 Global Cities
May 11, 2026Shuyang Hou, Ziqi Liu, Haoyue Jiao +7Geospatial Foundation Models Geospatial Representation Learning
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China
Low-Rank Adaptation of Geospatial Foundation Models for Wildfire Mapping Using Sentinel-2 Data
May 6, 2026Ali Shibli, Andrea Nascetti, Yifang BanGeospatial Foundation Models Spatial Generalization
KTH Royal Institute of Technology Stockholm, Sweden
Biological Spatial Priors Regularize Foundation Model Representations for Cross-Site MSI Generalization in Colorectal Cancer
May 4, 2026Dasari Naga RajuSpatial Generalization Pathology Foundation Models
Geospatial foundation-model embeddings improve population estimation unevenly across space and scale
May 3, 2026Wenbin Zhang, Eimear Cleary, Francisco Rowe +4Geospatial Foundation Models Geospatial Representation Learning
WorldPop, School of Geography and Environmental Sciences, University of Southampton, United Kingdom · Geographic Data Science Lab, Department of Geography and Planning, School of Environmental Sciences, University of Liverpool, United Kingdom
Towards Generalizable Mapping of Hedges and Linear Woody Features from Earth Observation Data: a national Product for Germany
Apr 29, 2026Thorsten Hoeser, Verena Huber-Garcia, Sarah Asam +2Remote Sensing Image Segmentation Agricultural Remote Sensing
Earth Observation Center (EOC), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany · Institute for Geography and Geology, University of Wuerzburg, 97074 Wuerzburg, Germany
XFlowMap: Cross-Scale Generalization and Mapping of Massive Origin-Destination Data
Apr 23, 2026Diansheng Guo, Hai JinScientific Visualization Data Visualization
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong
SparseGF: A Height-Aware Sparse Segmentation Framework with Context Compression for Robust Ground Filtering Across Urban to Natural Scenes
Apr 23, 2026Nannan Qin, Pengjie Tao, Haiyan Guan +43D Point Cloud Segmentation Spatial Generalization
School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, JiangSu, China · Tiandu-Nuist Deep Space Exploration Laboratory, Nanjing, 210044, JiangSu, China · School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, Hubei, China +4
Structure-Semantic Decoupled Modulation of Global Geospatial Embeddings for High-Resolution Remote Sensing Mapping
Apr 21, 2026Jienan Lyu, Miao Yang, Jinchen Cai +4Remote Sensing Image Segmentation Geospatial Foundation Models
Sun Yat-Sen University · Tsinghua University

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Puffin: Probabilistic Learning of Spatial Detail From Coarse Observations

Chaitanya Jobanputra, Sebastian Vollmer, Gerrit Großmann

DFKI Kaiserslautern, Germany

Conditional Distribution Estimation Spatial Generalization

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High-resolution socioeconomic variables are important for applications such as urban planning, public health, disaster response, and resource allocation. In practice, however, these variables are often observed only at a coarse spatial resolution. We introduce Puffin, a probabilistic framework for statistical disaggregation that raises the resolution of coarse totals using high-resolution satellite embeddings as covariates. Instead of predicting a single value for each fine-resolution subregion, Puffin learns a probability distribution and is trained through an aggregation-aware likelihood. At inference, Puffin conditions these predictions on the observed regional total and splits it among the subregions. The resulting fine-scale estimates are consistent with the observed aggregate and come with calibrated uncertainty, without requiring fine-resolution labels for training. We evaluate Puffin on German and US census, employment, and election data across population, jobs, and other count variables, and study when statistical disaggregation succeeds or fails across regions, countries, and targets.

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