Semiparametric Bayesian analysis for spatio-temporal zero-inflated negative binomial model - Yan Wu; Miaojie Xia; Tianfa Xie; Jiang Du (Spatial Statistics, 2026)

Topological relation materialization for spatial aggregation and geospatial question answering - Seungchan Jeong; Kiyun Yu (Spatial Statistics, 2026)

A non-stationary, amortized, transfer learning approach for modeling Italian air quality - Alessandro Fusta Moro; Antony Sikorski; Daniel McKenzie; Alessandro Fassò; Douglas Nychka (Spatial Statistics, 2026)

Detecting discrete spatial heterogeneity in compositional data via generalized group minimax concave penalty regularization - Ryo Inoue; Masato Ishikawa; Zhan Peng (Spatial Statistics, 2026)

RBF-based nonparametric intensity estimation for inhomogeneous spatial Poisson point processes with dependence on covariates - Mitra Hasheminia; Reza Pourtaheri; Nader Nematollahi; Ali Safdari-Vaighani (Spatial Statistics, 2026)

Spatial autoregressive hybrid quantile–expectile regression - Xinyue Liu; Yunquan Song (Spatial Statistics, 2026)

A nonparametric penalized approach for intensity estimation of marked inhomogeneous Poisson point processes - Blerta Begu; Eleonora Arnone; Laura M. Sangalli; Janine Illian; Michelle Carey (Spatial Statistics, 2026)

STAGE: A spatio-temporal attention and graph embedding framework for modeling human mobility trajectories - Sizhe Zhang; Xinyu Zhang; Yunhan Jiang; Patrick Fowler; Michael Podgursky; Guangli Zhang; Kenan Li; Nan Lin (Spatial Statistics, 2026)

Neural simulation-based inference for nonhomogeneous Neyman–Scott processes on the Åknes rock slope - Øyvind H. Singsaas; John L. Paige; Jo Eidsvik (Spatial Statistics, 2026)

Spatio-temporal patterns of urban demand: Statistical insights on hotspots and reallocation - Rodrigo A. Garrido (Spatial Statistics, 2026)

Efficient Bayesian spatially varying coefficients modeling for censored data using Vecchia approximation - Yacine Mohamed Idir; Thomas Romary (Spatial Statistics, 2026)

Non-parametric spatial change points detection - Shijie Gao; Yunxia Li (Spatial Statistics, 2026)

Transfer learning for Box–Cox spatial autoregressive models with final-stage RDP-accounted Gaussian-perturbed fine-tuning - Jinya Liang; Yunquan Song (Spatial Statistics, 2026)

A robust nonparametric framework for detecting repeated spatial patterns - Rajitha Senanayake; Pratheepa Jeganathan (Spatial Statistics, 2026)

Bayesian geostatistical modeling for cluster randomized trials - Jooyeon Lee; Evan Kwiatkowski (Spatial Statistics, 2026)

Modeling group heterogeneity in spatio-temporal data via physics-informed regression - Marco F. De Sanctis; Eleonora Arnone; Francesca Ieva; Laura M. Sangalli (Spatial Statistics, 2026)

Moment estimators for a three-parameter family of spatial Poisson models - I.L. van den Heuvel; M. Regis; Z. Zhan; M.C. Kaptein; E.R. van den Heuvel (Spatial Statistics, 2026)

Constructing novel spatio-temporal difference-based covariance models - Sandra De Iaco; Donato Posa (Spatial Statistics, 2026)

Quantile-Stage model averaging transfer learning for high-dimensional spatial expected shortfall regression - Yongqi Wang; Yunquan Song (Spatial Statistics, 2026)

Deep learning of spatial quantile autoregressive model under nonparametric endogenous effect - Yunquan Song; Shuyu Xiao; Anqi Wang (Spatial Statistics, 2026)

Prediction of spatio-temporal data on meshed surfaces using advection–diffusion SPDEs - Mike Pereira; Lucia Clarotto; Nicolas Desassis (Spatial Statistics, 2026)

Combining machine learning quantile regression and Gaussian random fields: A general framework for modeling and simulating space–time processes - Said Obakrim; Denis Allard; Lionel Benoit; Grégoire Mariéthoz (Spatial Statistics, 2026)

Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data - Arghya Mukherjee; Arnab Hazra; Dootika Vats (Spatial Statistics, 2026)

Modelling street crime in Almada, Portugal, using point processes - Inês Oliveira; Paula Simões; Isabel Natário (Spatial Statistics, 2026)

Quantile regression of partially linear single-index spatial autoregressive model with missing observations - Suli Cheng; Jiali Xu; Peixin Zhao; Xuan Liu (Spatial Statistics, 2026)

Adaptive boosting on linear networks - Seungyeon Lim; Seoncheol Park (Spatial Statistics, 2026)

When machine learning extrapolates in space: How local data shape spatial transferability - Camille Portes; Dino Ienco; Edith Gabriel (Spatial Statistics, 2026)

Modelling of spatially misaligned wastewater-based surveillance data - Miguel Torres; Raeesa Docrat; David Rose; Inger Fabris-Rotelli; René Stander; Wouter le Roux; Lisa Schaefer; Jabulani Jele; Nontembeko Dudeni-Tlhone; Jenny Holloway; Pravesh Debba; Nada Abdelatif; et al. (Spatial Statistics, 2026)

One-parameter Lambert-Uniform scan statistic for COVID-19 hotspot detection: An innovative approach to spatial clustering - Ali Abolhassani; Marcos O. Prates (Spatial Statistics, 2026)

Ideological and geographical patterns in European political system: An Archetypoid and Spatial Analysis - M. Manisera; D. Fernández; P. Zuccolotto (Spatial Statistics, 2026)

Integrating SKATER and logistic regression for spatial regime analysis: A case study of the 2016 US presidential election - Anqi Ma; Lingling Tian; Chuanhua Wei (Spatial Statistics, 2026)

Spatial sampling to enhance meta learning for semantic segmentation of build-ups in remote sensing - Lianfa Li (Spatial Statistics, 2026)

Modeling large nonstationary spatial data with the full-scale basis graphical lasso - Matthew LeDuc; William Kleiber; Tomoko Matsuo (Spatial Statistics, 2026)

Pointwise confidence intervals of local linear regression with correlated errors using block bootstrap: Some practical applications - Mehnuma Tabassum; Kris De Brabanter (Spatial Statistics, 2026)

Robust variable selection for spatial point processes observed with noise - Dominik Sturm; Ivo F. Sbalzarini (Spatial Statistics, 2026)

Application of Bayesian spatiotemporal model with Potts to analyze incident rate in Taiwan traffic accidents - Kuo-Jung Lee; Tzu-Wei Yin; Ching-Lan Cheng; Hakmook Kang (Spatial Statistics, 2026)

A spatio-temporal model with seasonality to analyze elderly mortality patterns in Italy - Aldo Gardini; Fedele Greco; Carlo Trivisano (Spatial Statistics, 2026)

Bayesian local influence analysis for the spatial autoregressive combined model - Yonghui Liu; Sai Yan; Tianyifeng Chu; Shuangzhe Liu (Spatial Statistics, 2026)

A Bayesian INLA-SPDE approach to spatio-temporal point-grid fusion with change-of-support and misaligned covariates - Weiyue Zheng; Andrew Elliott; Claire Miller; Marian Scott (Spatial Statistics, 2026)

Computationally efficient approximations to conditional autoregressive prior for spatial and spatiotemporal datasets over large lattices - Md Kamrul Hasan Khan; Avishek Chakraborty; Giovanni Petris; Ghadeer J.M. Mahdi; Barry T. Wilson (Spatial Statistics, 2026)

Deep kernel learning for geostatistics: Learning spatial deformation with normalizing flows - Thomas Romary; Solal Raymondjean; Nicolas Desassis (Spatial Statistics, 2026)

Takacs-Fiksel estimation as a special case of Point Process Learning - Julia Jansson Valter; Ottmar Cronie (Spatial Statistics, 2026)

Bayesian inference for Neyman–Scott point processes with anisotropic clusters - Jiří Dvořák; Emily Ewers; Tomáš Mrkvička; Claudia Redenbach (Spatial Statistics, 2026)

Transforming point forecasts into probabilistic wind power scenarios using a hierarchical Bayesian model - Sergio Gomez-Anaya; Chris Dent; Amanda Lenzi (Spatial Statistics, 2026)

Uncovering Local Spatial Context via Multiscale Geographically Weighted Binomial Regression - Chen-Lun Kao; Mehak Sachdeva; A. Stewart Fotheringham (Spatial Statistics, 2026)

Variable selection for expectile regression in nonparametric spatial additive models - Shuyu Xiao; Rui Yang; Yunquan Song (Spatial Statistics, 2026)

Testing independence of stationary spatial point processes in irregular polygonal domains - Renato Assunção; Lucas da Cunha Godoy (Spatial Statistics, 2026)

Variable selection for spatial modal autoregressive models - Xuan Liu; Shengling Deng; Haiqiang Ma; Suli Cheng (Spatial Statistics, 2026)

Local summary statistics for spatial point process intensity estimation - Nicoletta D’Angelo; Giada Adelfio; Jorge Mateu; Ottmar Cronie (Spatial Statistics, 2026)

Cluster detection for ordinal categorical areal data - Xingpei Zhao; Alexander C. McLain; Bo Cai; Dewei Wang; Stella Self (Spatial Statistics, 2026)

Some notes on the spatial autoregressive model - Mengling Gong; Ting Cui; Lijia Xu; Shifeng Xiong (Spatial Statistics, 2026)

A bootstrap goodness-of-fit test for the variogram - Rubén Fernández-Casal; Sergio Castillo-Páez; Mario Francisco-Fernández (Spatial Statistics, 2026)

Spatial Gaussian fields for complex areas with application to marine megafauna conservation - Martina Le-Bert Heyl; Janet van Niekerk; Håvard Rue (Spatial Statistics, 2026)

Sparse–smooth spatially varying coefficient quantile regression - Jian Hou; Tan Meng; Maozai Tian; Jianxin Pan; Wolfgang Karl Härdle (Spatial Statistics, 2026)

An improved statistical framework for the HeTerogeneity Average (HTA) Index - R. Fallahpour; L. Sun; X. Shi; J. Stafford; P.N. Tyrrell (Spatial Statistics, 2026)

Estimation and selection in survival models for individuals with spatial frailty - Kyeongeun Kim; Joonho Shin; Chae Young Lim (Spatial Statistics, 2026)

Bayesian spatial disaggregation modeling for the detection of disease clusters - Paula Moraga; Hanan Alahmadi (Spatial Statistics, 2026)

A comparison between geostatistical and machine learning models for spatio-temporal prediction of PM2.5 data - Zeinab Mohamed; Wenlong Gong (Spatial Statistics, 2026)

Sequential area interaction sampling for early plant disease detection - François d’Alayer; Edith Gabriel; Samuel Soubeyrand (Spatial Statistics, 2026)

A Bayesian geoadditive model for spatial disaggregation - Sara Rutten; Thomas Neyens; Elisa Duarte; Christel Faes (Spatial Statistics, 2026)

Modeling spatial compositional data: Dirichlet likelihoods and cross-entropy estimation - Teo Nguyen; Sarat Moka; Kerrie Mengersen; Benoit Liquet (Spatial Statistics, 2026)

Geographical clustering of the electoral flow between the Italian general elections of 2018 and 2022 - Pierpaolo D’Urso; Livia De Giovanni; Lorenzo Federico; Vincenzina Vitale (Spatial Statistics, 2026)

Image rotation angle estimation using spatial cross-correlation techniques - Ronny Vallejos; Jonathan Acosta; Bastián Sepúlveda (Spatial Statistics, 2026)

A multi-stage Bayesian approach to fit spatial point process models - Rachael Ren; Mevin B. Hooten; Toryn L.J. Schafer; Nicholas M. Calzada; Benjamin Hoose; Jamie N. Womble; Scott Gende (Spatial Statistics, 2026)

Inference for stationary Log-Gaussian Cox point processes using Bayesian deep learning: Application to human oral microbiome image data - Shuwan Wang; Christopher K. Wikle; Athanasios C. Micheas; Jessica L. Mark Welch; Jacqueline R. Starr; Kyu Ha Lee (Spatial Statistics, 2026)

A random quantile approach for prior covariance estimation in Bayesian Maximum Entropy - Kinspride Duah; Yan Sun; Maha Moussa (Spatial Statistics, 2026)

Bayesian variable selection for censored spatial responses with application to PFAS concentrations in California - Suman Majumder; Indranil Sahoo (Spatial Statistics, 2026)

Multivariate low-rank state–space model with SPDE approach for high-dimensional data - Jacopo Rodeschini; Lorenzo Tedesco; Francesco Finazzi; Philipp Otto; Alessandro Fassò (Spatial Statistics, 2026)

Measuring territorial political representation - Augusto Cerqua; Gabriele Pinto; Alessandra Scerbo (Spatial Statistics, 2026)

Shrinkage estimation in geographically weighted regression with applications to digital platform pricing - Bahadır Yüzbaşı; S. Ejaz Ahmed; Shuangzhe Liu (Spatial Statistics, 2026)

A nonparametric and functional wombling methodology - Luke A. Barratt; John A.D. Aston (Spatial Statistics, 2026)

Directional spatial individual level models of infectious disease transmission - Jeffrey Peitsch; Gyanendra Pokharel; Rob Deardon (Spatial Statistics, 2026)

Bayesian inference for non-Gaussian simultaneous autoregressive models with missing data - Anjana Wijayawardhana; David Gunawan; Thomas Suesse (Spatial Statistics, 2026)

Spatiotemporal clustering of GHGs emissions in Europe: Exploring the role of spatial component - Caterina Morelli; Paolo Maranzano; Philipp Otto (Spatial Statistics, 2026)

Addressing duplicated data in spatial point patterns: A modified minimum contrast approach using K-functions - Lingling Chen; Mikyoung Jun; Scott J. Cook (Spatial Statistics, 2026)

Spatiotemporal modeling of COVID-19 cases using human movement and activity index - Poshan Niraula; Edzer Pebesma (Spatial Statistics, 2026)

Functional random field data analysis using nonparametric L 1 -modal regression - Amel Azzi; Salim Bouzebda; Ali Laksaci (Spatial Statistics, 2026)

Bayesian strategies for repulsive spatial point processes - Chaoyi Lu; Nial Friel (Spatial Statistics, 2026)

Geographically weighted Poisson–Tweedie model for count data - Vivian Yi-Ju Chen; Yi-Jin Li (Spatial Statistics, 2026)

Assessing the size of spatial extreme events using local coefficients based on excursion sets - Ryan Cotsakis; Elena Di Bernardino; Thomas Opitz (Spatial Statistics, 2026)

Composite method for fast computation of individual level spatial epidemic models - Yirao Zhang; Rob Deardon; Lorna Deeth (Spatial Statistics, 2026)

Reframing coverage estimation under line-strip sampling in the Monte Carlo integration framework - R.M. Di Biase; L. Fattorini; S. Franceschi; A. Marcelli; M. Marcheselli; C. Pisani (Spatial Statistics, 2026)

Transfer learning for spatial autoregressive models with missing responses - Yongqi Wang; Yunquan Song (Spatial Statistics, 2026)

Adaptive local maxima windows for tree detection: A point process perspective - Konstantinos Florakis; Véronique Letort; Raphaël Canals; Gilles Faÿ; Samis Trevezas (Spatial Statistics, 2026)

Estimating and plotting species-area relationship: Does aggregate distribution of species really matter? - Youhua Chen; Tsung-Jen Shen (Spatial Statistics, 2026)

A delayed acceptance auxiliary variable MCMC for spatial models with intractable likelihood function - Jong Hyeon Lee; Jongmin Kim; Heesang Lee; Jaewoo Park (Spatial Statistics, 2026)

Copula-based spatio-temporal modeling of air pollutant data incorporating covariate dependence - Soyun Jeon; Jungsoon Choi (Spatial Statistics, 2026)

Determinants of vote transitions by ecological inference within small areas - Bruno Bracalente; Antonio Forcina; e Nicola Falocci (Spatial Statistics, 2026)

Voronoi linkage between mismatching voting stations and census tracts in analyzing the 2018 Brazilian presidential election data - Lucas da Cunha Godoy; Marcos Oliveira Prates; Jun Yan (Spatial Statistics, 2026)

A heavy-tailed model for multivariate spatial processes - Paritosh Kumar Roy; Alexandra M. Schmidt (Spatial Statistics, 2026)

A simultaneous system of dynamic spatial stochastic frontier models with dependent error components and inefficiency determinants - S. Emili; F. Galli (Spatial Statistics, 2026)

Explicit modeling of density dependence in spatial capture-recapture models - Qing Zhao; Yunyi Shen (Spatial Statistics, 2026)

Joint modeling of line and point data on metric graphs - Karina Lilleborge; Sara Martino; Geir-Arne Fuglstad; Finn Lindgren; Rikke Ingebrigtsen (Spatial Statistics, 2026)

Multivariate spatio-temporal modelling for completing cancer registries and forecasting incidence - Garazi Retegui; Jaione Etxeberria; María Dolores Ugarte (Spatial Statistics, 2026)

Misspecification issues between competitive spatio-temporal cluster point processes - Alba Bernabeu; Claudio Fronterrè; Jorge Mateu (Spatial Statistics, 2026)

A visual method for identifying local over-densities in spatial data - Yining Han; Xiaobin Chen; Xingxing Huang; Zhongyin Liu (Spatial Statistics, 2026)

Spatial survival models based on Weibull random fields - Christian Caamaño-Carrillo; Moreno Bevilacqua; Diego I. Gallardo (Spatial Statistics, 2025)

Spatial empirical best predictor of small area linear parameter for positively skewed outcomes - Dian Handayani; Khairil Anwar Notodiputro; Asep Saefuddin; I Wayan Mangku; Anang Kurnia (Spatial Statistics, 2025)

Dynamic spatial regimes for spatial panel data - Anna Gloria Billé; Roberto Benedetti; Paolo Postiglione (Spatial Statistics, 2025)

Growth of spatial statistics for agriculture and environment: The example of BioSP at INRAE - Denis Allard (Spatial Statistics, 2025)

A concordance coefficient for lattice data: An application to poverty indices in Chile - Ronny Vallejos; Clemente Ferrer; Jorge Mateu (Spatial Statistics, 2025)

Navigating challenges in spatio-temporal modelling of Antarctic krill abundance: Addressing zero-inflated data and misaligned covariates - André Victor Ribeiro Amaral; Adam M. Sykulski; Sophie Fielding; Emma Cavan (Spatial Statistics, 2025)

A framework for analysing point patterns on nonconvex domains using visibility graphs and multidimensional scaling - Kabelo Mahloromela; Inger Fabris-Rotelli (Spatial Statistics, 2025)

Bandwidth selection for the intensity in spatial point processes - Yangha Chung; Ji Meng Loh; Woncheol Jang (Spatial Statistics, 2025)

Model averaging for spatial autoregressive panel data models - Aibing Ji; Jingxuan Li; Qingqing Li (Spatial Statistics, 2025)

Specifying spatial effects in panel data: Locally robust vs. conditional tests - Giovanni Millo (Spatial Statistics, 2025)

Spatial and spatio-temporal cluster detection using stacking - Maria E. Kamenetsky; Jun Zhu; Ronald E. Gangnon (Spatial Statistics, 2025)

Uncertain spatial autoregressive model with applications to regional economic analysis and regional air quality analysis - Jinsheng Xie (Spatial Statistics, 2025)

Joint model for zero-inflated data combining fishery-dependent and fishery-independent sources - Daniela Silva; Raquel Menezes; Gonçalo Araújo; Renato Rosa; Ana Moreno; Alexandra Silva; Susana Garrido (Spatial Statistics, 2025)

Variational autoencoded multivariate spatial Fay–Herriot models - Zhenhua Wang; Paul A. Parker; Scott H. Holan (Spatial Statistics, 2025)

Regime changes and spatial dependence in the 2020 US presidential election polls - Giampiero M. Gallo; Demetrio Lacava; Edoardo Otranto (Spatial Statistics, 2025)

GMM inference for the spatial autoregressive kink model with an unknown threshold - Wentao Wang; Dengkui Li (Spatial Statistics, 2025)

Conformal novelty detection for replicate point patterns with FDR or FWER control - Christophe A.N. Biscio; Adrien Mazoyer; Martin V. Vejling (Spatial Statistics, 2025)

Spatiotemporal dynamics of COVID-19 in Wuhan based on community notifications - Gang Xu; Qirui Zhang; Xinlei Xu; Yajie Zhang; Yansheng Li (Spatial Statistics, 2025)

Physics-driven dynamic interpolation with application to pollution satellite images - Won Chang; Youngdeok Hwang; Hang J. Kim (Spatial Statistics, 2025)

A penalized estimation of the variogram and effective sample size - Jonathan Acosta; Ronny Vallejos; Pilar García-Soidán (Spatial Statistics, 2025)

Estimation and testing of time-varying coefficients spatial autoregressive panel data model - Lingling Tian; Chuanhua Wei; Wenxing Ding; Mixia Wu (Spatial Statistics, 2025)

Spatial–temporal prediction of forest attributes using latent Gaussian models and inventory data - Paul B. May; Andrew O. Finley (Spatial Statistics, 2025)

Sampling design for binary geostatistical data, application to inspection actions of fishing activity in Portugal - Belchior Miguel; Paula Simões; Rui Gonçalves de Deus; Isabel Natário (Spatial Statistics, 2025)

Spatio-temporal intensity estimation for inhomogeneous Poisson point processes on linear networks: A roughness penalty method - Simone Panzeri; Aldo Clemente; Eleonora Arnone; Jorge Mateu; Laura M. Sangalli (Spatial Statistics, 2025)

Some peculiar families of correlation functions - D. Posa (Spatial Statistics, 2025)

Geographically informed graph neural networks - Xuankai Ma; Zehua Zhang; Yongze Song (Spatial Statistics, 2025)

A two-step sampling strategy to improve the prediction accuracy of contamination hotspots and identify hotspot boundaries - Joonmyoung Kim; Seonwoo Lee; Taekseon Ryu; Jonghyun Na; Taehyun Yun; Jeongho Lee; Hansuk Kim; Man Jae Kwon; Ho Young Jo; Yongsung Joo (Spatial Statistics, 2025)

Spatial robust fuzzy clustering of mixed data with electoral study - Domenico Cangemi; Pierpaolo D’Urso; Livia De Giovanni; Lorenzo Federico; Vincenzina Vitale (Spatial Statistics, 2025)

Flexible space–time models for extreme data - Lorenzo Dell’Oro; Carlo Gaetan (Spatial Statistics, 2025)

A marked sequential point process for disease surveillance: Modeling and optimization - François d’Alayer; Edith Gabriel; Samuel Soubeyrand (Spatial Statistics, 2025)

Attribute based spatial segmentation for optimising POI placement - M. de Klerk; I. Fabris-Rotelli (Spatial Statistics, 2025)

Transfer learning for high dimensional spatial autoregressive model - Yunquan Song; Xuan Chen; Rui Yang; Yijun Li (Spatial Statistics, 2025)

Characteristics of some isotropic covariance models with negative values - De Iaco S.; Posa D. (Spatial Statistics, 2025)

Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach - Zekun Gao; Yutong Jiang; Junjie Yin; Jiaping Wu; Maria-Stephania Christakos; George Christakos; Junyu He (Spatial Statistics, 2025)

A low-rank Bayesian approach for geoadditive modeling - Bryan Sumalinab; Oswaldo Gressani; Niel Hens; Christel Faes (Spatial Statistics, 2025)

Probabilistic spatiotemporal modeling of day-ahead wind power generation with input-warped Gaussian processes - Qiqi Li; Michael Ludkovski (Spatial Statistics, 2025)

Bias correction methods for spatially lagged covariates measured with errors - Mohammad Masjkur; Asep Saefuddin; I. Wayan Mangku; Henk Folmer; Arno J. Van der Vlist; Marco Grzegorczyk (Spatial Statistics, 2025)

A J -test for spatial autoregressive binary models - Gianfranco Piras; Mauricio Sarrias (Spatial Statistics, 2025)

A new regular grid-based spatial process on the log-symmetric model for speckled clutter - Arthur Machado; Francisco José A. Cysneiros; Abraão D.C. Nascimento (Spatial Statistics, 2025)

Stochastic spatial stream networks for scalable inferences of riverscape processes - Xinyi Lu; Andee Kaplan; Yoichiro Kanno; George Valentine; Jacob M. Rash; Mevin Hooten (Spatial Statistics, 2025)

Random elastic space–time (REST) prediction - Nicolas Coloma; William Kleiber (Spatial Statistics, 2025)

Computationally efficient spatio-temporal disease mapping for big data - Duncan Lee (Spatial Statistics, 2025)

A spatial autoregressive graphical model - Sjoerd Hermes; Joost van Heerwaarden; Pariya Behrouzi (Spatial Statistics, 2025)

Isotropy testing in spatial point patterns: nonparametric versus parametric replication under misspecification - Jakub J. Pypkowski; Adam M. Sykulski; James S. Martin (Spatial Statistics, 2025)

Nonparametric approaches for direct approximation of the spatial quantiles - Pilar García-Soidán; Tomás R. Cotos-Yáñez (Spatial Statistics, 2025)

Similarity and geographically weighted regression considering spatial scales of features space - Shifeng Yu; Xiaoyu Hu; Yehua Sheng; Chenmeng Zhao (Spatial Statistics, 2025)

Magnitude-weighted goodness-of-fit scores for earthquake forecasting - Frederic Schoenberg (Spatial Statistics, 2025)

Fast computation of the statistical significance test for spatio-temporal receptive field estimates obtained using spike-triggered averaging of binary pseudo-random sequences - Murat Okatan (Spatial Statistics, 2025)

Integrating multi-source geospatial information using Bayesian maximum entropy: A case study on design ground snow load prediction - Kinspride Duah; Yan Sun; Brennan Bean (Spatial Statistics, 2025)

Functional summary statistics and testing for independence in multi-type point processes on the surface of three dimensional convex shapes - S. Ward; E.A.K. Cohen; N.M. Adams (Spatial Statistics, 2025)

Bayesian adaptive Lasso estimation for partially linear hierarchical spatial autoregressive model - Miao Long; Zhimeng Sun (Spatial Statistics, 2025)

Bayesian analysis and variable selection for spatial count data with an application to Rio de Janeiro gun violence - Guilherme Ludwig; Yuan Wang; Tingjin Chu; Haonan Wang; Jun Zhu (Spatial Statistics, 2025)

A term structure geostatistical model with correlated residuals: A comparative analysis - Antonella Congedi; Sandra De Iaco; Donato Posa (Spatial Statistics, 2025)

Derivative-based spatial mediation with INLA-SPDE - Claudio Rubino; Chiara Di Maria; Antonino Abbruzzo; Gioacchino Bono; Germana Garofalo; Giacomo Milisenda; Giada Adelfio (Spatial Statistics, 2025)

Clustered factor analysis for multivariate spatial data - Yanxiu Jin; Tomoya Wakayama; Renhe Jiang; Shonosuke Sugasawa (Spatial Statistics, 2025)

A Hotelling spatial scan statistic for functional data: Application to economic and climate data - Zaineb Smida; Thibault Laurent; Lionel Cucala (Spatial Statistics, 2025)

Statistical inference of partially linear time-varying coefficients spatial autoregressive panel data model - Lingling Tian; Chuanhua Wei; Mixia Wu (Spatial Statistics, 2025)

Spatial deep convolutional neural networks - Qi Wang; Paul A. Parker; Robert Lund (Spatial Statistics, 2025)

Bayesian geographically weighted regression using Fused Lasso prior - Toshiki Sakai; Jun Tsuchida; Hiroshi Yadohisa (Spatial Statistics, 2025)

Clustering of compound events based on multivariate comonotonicity - Fabrizio Durante; Sebastian Fuchs; Roberta Pappadà (Spatial Statistics, 2025)

Measuring unit relevance and stability in hierarchical spatio-temporal clustering - Roy Cerqueti; Raffaele Mattera (Spatial Statistics, 2025)

The Multifractal Gaussian Mixture Model for unsupervised segmentation of complex data sets - Garry Jacyna; Damon Frezza; David M. Slater; James R. Thompson (Spatial Statistics, 2025)

Bias-corrected instrumental variable estimation for spatial autoregressive models with measurement errors - Guowang Luo; Mixia Wu (Spatial Statistics, 2025)

Softening the criteria for determining inner and outer predicted exceedance sets - Thomas Suesse; Alexander Brenning (Spatial Statistics, 2025)

An optimised rabies vaccination schedule for rural settlements - Rian Botes; Inger Fabris-Rotelli; Kabelo Mahloromela; Ding-Geng Chen (Spatial Statistics, 2025)

Fixed effects spatial panel interval-valued autoregressive models and applications - Qingqing Li; Ruizhuo Zheng; Aibing Ji; Hongyan Ma (Spatial Statistics, 2025)

Fuzzy clustering of mixed data with spatial regularization - Pierpaolo D’Urso; Livia De Giovanni; Lorenzo Federico; Vincenzina Vitale (Spatial Statistics, 2025)

Fast mixture spatial regression: A mixture in the geographical and feature space applied to predict porosity in the post-salt - Lucas Michelin; Lucas C. Godoy; Heitor S. Ramos; Marcos O. Prates (Spatial Statistics, 2025)

Pixel isotropy test based on directional perimeters - Mariem Abaach; Hermine Biermé; Elena Di Bernardino; Anne Estrade (Spatial Statistics, 2025)

Simulation of conditional non-Gaussian random fields with directional asymmetry - Sebastian Hörning; András Bárdossy (Spatial Statistics, 2025)

Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices - J.D. Toloza-Delgado; O.O. Melo; N.A. Cruz (Spatial Statistics, 2025)

Epidemiological insights and geographic clusters for COVID-19 in Taiwan using a mixture scan statistic - Yi-Hung Kung (Spatial Statistics, 2025)

A flexible class of priors for orthonormal matrices with basis function-specific structure - Joshua S. North; Mark D. Risser; F. Jay Breidt (Spatial Statistics, 2024)

Regularization of the Ensemble Kalman Filter using a non-parametric, non-stationary spatial model - Michael Tsyrulnikov; Arseniy Sotskiy (Spatial Statistics, 2024)

Non-stationary spatio-temporal modeling using the stochastic advection–diffusion equation - Martin Outzen Berild; Geir-Arne Fuglstad (Spatial Statistics, 2024)

Uncovering hidden alignments in two-dimensional point fields - Eulogio Pardo-Igúzquiza; Peter A. Dowd (Spatial Statistics, 2024)

Spatio-temporal data fusion for the analysis of in situ and remote sensing data using the INLA-SPDE approach - Shiyu He; Samuel W.K. Wong (Spatial Statistics, 2024)

Exploiting nearest-neighbour maps for estimating the variance of sample mean in equal-probability systematic sampling of spatial populations - Sara Franceschi; Lorenzo Fattorini; Timothy G Gregoire (Spatial Statistics, 2024)

Variable selection of nonparametric spatial autoregressive models via deep learning - Xiaodi Zhang; Yunquan Song (Spatial Statistics, 2024)

Estimation and inference of multi-effect generalized geographically and temporally weighted regression models - Zhi Zhang; Ruochen Mei; Changlin Mei (Spatial Statistics, 2024)

A spatio-temporal model for temporal evolution of spatial extremal dependence - Véronique Maume-Deschamps; Pierre Ribereau; Manal Zeidan (Spatial Statistics, 2024)

Nonparametric isotropy test for spatial point processes using random rotations - Chiara Fend; Claudia Redenbach (Spatial Statistics, 2024)

Spatio-temporal clustering using generalized lasso to identify the spread of Covid-19 in Indonesia according to provincial flight route-based connections - Septian Rahardiantoro; Sachnaz Desta Oktarina; Anang Kurnia; Nickyta Shavira Maharani; Alfidhia Rahman Nasa Juhanda (Spatial Statistics, 2024)

Spatial statistics: Climate and the environment - Christopher K. Wikle; Mevin B. Hooten; William Kleiber; Douglas W. Nychka (Spatial Statistics, 2024)

Self-correlated spatial random variables: From an auto- to a sui- model respecification - Daniel A. Griffith (Spatial Statistics, 2024)

Covariate-dependent spatio-temporal covariance models - Yen-Shiu Chin; Nan-Jung Hsu; Hsin-Cheng Huang (Spatial Statistics, 2024)

Enhancing bivariate spatial association analysis of network-constrained geographical flows: An incremental scale-based method - Wenkai Liu; Haonan Cai; Weijie Zhang; Sheng Hu; Zhangzhi Tan; Jiannan Cai; Hanfa Xing (Spatial Statistics, 2024)

Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005–2022 - He Yinnan; Qin Ruxiang (Spatial Statistics, 2024)

Spatio-temporal ecological models via physics-informed neural networks for studying chronic wasting disease - Juan Francisco Mandujano Reyes; Ting Fung Ma; Ian P. McGahan; Daniel J. Storm; Daniel P. Walsh; Jun Zhu (Spatial Statistics, 2024)

Spatiotemporal factor models for functional data with application to population map forecast - Tomoya Wakayama; Shonosuke Sugasawa (Spatial Statistics, 2024)

Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods - Julia Walchessen; Amanda Lenzi; Mikael Kuusela (Spatial Statistics, 2024)

The SPDE approach for spatio-temporal datasets with advection and diffusion - Lucia Clarotto; Denis Allard; Thomas Romary; Nicolas Desassis (Spatial Statistics, 2024)

Flexible basis representations for modeling large non-Gaussian spatial data - Remy MacDonald; Benjamin Seiyon Lee (Spatial Statistics, 2024)

Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model - Feng Chen; Yee Leung; Qiang Wang; Yu Zhou (Spatial Statistics, 2024)

Analytical simulation methodology for nonlinear spatiotemporal models: Spatial salience in Covid-19 contagion - Michael Beenstock; Yoel Cohen; Daniel Felsenstein (Spatial Statistics, 2024)

Automatic cross-validation in structured models: Is it time to leave out leave-one-out? - Aritz Adin; Elias Teixeira Krainski; Amanda Lenzi; Zhedong Liu; Joaquín Martínez-Minaya; Håvard Rue (Spatial Statistics, 2024)

The circular Matérn covariance function and its link to Markov random fields on the circle - Chunfeng Huang; Ao Li; Nicholas W. Bussberg; Haimeng Zhang (Spatial Statistics, 2024)

Dimension reduction for spatial regression: Spatial predictor envelope - Paul May; Hossein Moradi Rekabdarkolaee (Spatial Statistics, 2024)

Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity - Osman Doğan (Spatial Statistics, 2024)

A hypothesis test for detecting spatial patterns in categorical areal data - Stella Self; Xingpei Zhao; Anja Zgodic; Anna Overby; David White; Alexander C. McLain; Caitlin Dyckman (Spatial Statistics, 2024)

Summary statistics for spatio-temporal point processes on linear networks - Mehdi Moradi; Ali Sharifi (Spatial Statistics, 2024)

Incremental transfer learning for spatial autoregressive model with linear constraints - Jie Li; Yunquan Song (Spatial Statistics, 2024)

Rapid outlier detection, model selection and variable selection using penalized likelihood estimation for general spatial models - Yunquan Song; Minglu Fang; Yuanfeng Wang; Yiming Hou (Spatial Statistics, 2024)

Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient models - Lily Wang; Guannan Wang; Annie S. Gao (Spatial Statistics, 2024)

A nonparametric penalized likelihood approach to density estimation of space–time point patterns - Blerta Begu; Simone Panzeri; Eleonora Arnone; Michelle Carey; Laura M. Sangalli (Spatial Statistics, 2024)

Space, uncertainty, and the environment: honoring the distinguished career of Noel Cressie - Alfred Stein; Christopher K. Wikle (Spatial Statistics, 2024)

Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data - Cécile Spychala; Clément Dombry; Camelia Goga (Spatial Statistics, 2024)

Probabilistic Context Neighborhood model for lattices - Denise Duarte; Débora F. Magalhães; Aline M. Piroutek; Caio Alves (Spatial Statistics, 2024)

Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm - Miguel De la Llave; Fernando A. López (Spatial Statistics, 2024)

Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials - Alvaro Alexander Burbano-Moreno; Vinícius Diniz Mayrink (Spatial Statistics, 2024)

Spatial Bayesian neural networks - Andrew Zammit-Mangion; Michael D. Kaminski; Ba-Hien Tran; Maurizio Filippone; Noel Cressie (Spatial Statistics, 2024)

Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss - Alan R. Pearse; Noel Cressie; David Gunawan (Spatial Statistics, 2024)

A multivariate spatial and spatiotemporal ARCH Model - Philipp Otto (Spatial Statistics, 2024)

Echo state network-enhanced symbolic regression for spatio-temporal binary stochastic cellular automata - Nicholas Grieshop; Christopher K. Wikle (Spatial Statistics, 2024)

Bayesian spatio-temporal statistical modeling of violent-related fatality in western and central Africa - Osafu Augustine Egbon; Asrat Mekonnen Belachew; Mariella Ananias Bogoni; Bayowa Teniola Babalola; Francisco Louzada (Spatial Statistics, 2024)

Profile likelihoods for parameters in trans-Gaussian geostatistical models - Ruoyong Xu; Patrick Brown (Spatial Statistics, 2024)

Graph convolutional networks for spatial interpolation of correlated data - Marianne Abémgnigni Njifon; Dominic Schuhmacher (Spatial Statistics, 2024)

Regime-based precipitation modeling: A spatio-temporal approach - Carolina Euán; Ying Sun; Brian J. Reich (Spatial Statistics, 2024)

Mapping using an adaptive sampling design - Mohammad Moradi; Jennifer Brown (Spatial Statistics, 2024)

Spatial Smoothing Using Graph Laplacian Penalized Filter - Hiroshi Yamada (Spatial Statistics, 2024)

Geostatistical capture–recapture models - Mevin B. Hooten; Michael R. Schwob; Devin S. Johnson; Jacob S. Ivan (Spatial Statistics, 2024)

Modeling left-censored skewed spatial processes: The case of arsenic drinking water contamination - Qi Zhang; Alexandra M. Schmidt; Yogendra P. Chaubey (Spatial Statistics, 2024)

Robust interaction detector: A case of road life expectancy analysis - Zehua Zhang; Yongze Song; Lalinda Karunaratne; Peng Wu (Spatial Statistics, 2024)

Spatial classification in the presence of measurement error - Yuhan Ma; Kyuhee Shin; GyuWon Lee; Joon Jin Song (Spatial Statistics, 2024)

Deep graphical regression for jointly moderate and extreme Australian wildfires - Daniela Cisneros; Jordan Richards; Ashok Dahal; Luigi Lombardo; Raphaël Huser (Spatial Statistics, 2024)

A comparison of model validation approaches for echo state networks using climate model replicates - Kellie McClernon; Katherine Goode; Daniel Ries (Spatial Statistics, 2024)

Variable selection via penalized quasi-maximum likelihood method for spatial autoregressive model with missing response - Yuanfeng Wang; Yunquan Song (Spatial Statistics, 2024)

Impacts of spatial imputation on location-allocation problem solutions - Dongeun Kim; Yongwan Chun; Daniel A. Griffith (Spatial Statistics, 2024)

A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models - Arantxa Urdangarin; Tomás Goicoa; Thomas Kneib; María Dolores Ugarte (Spatial Statistics, 2024)

Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data - Michael Dumelle; Jay M. Ver Hoef; Amalia Handler; Ryan A. Hill; Matt Higham; Anthony R. Olsen (Spatial Statistics, 2024)

A generalized additive model (GAM) approach to principal component analysis of geographic data - Francisco de Asís López; Celestino Ordóñez; Javier Roca-Pardiñas (Spatial Statistics, 2024)

Dealing with location uncertainty for modeling network-constrained lattice data - Álvaro Briz-Redón (Spatial Statistics, 2024)

Estimation for single-index spatial autoregressive model with covariate measurement errors - Ke Wang; Dehui Wang (Spatial Statistics, 2024)

A flexible likelihood-based neural network extension of the classic spatio-temporal model - Malte Jahn (Spatial Statistics, 2024)

Robust second-order stationary spatial blind source separation using generalized sign matrices - Mika Sipilä; Christoph Muehlmann; Klaus Nordhausen; Sara Taskinen (Spatial Statistics, 2024)

Using spatial ordinal patterns for non-parametric testing of spatial dependence - Christian H. Weiß; Hee-Young Kim (Spatial Statistics, 2024)

Copula-Based Data-Driven Multiple-Point Simulation Method - Babak Sohrabian; Abdullah Erhan Tercan (Spatial Statistics, 2024)

Correlation-based hierarchical clustering of time series with spatial constraints - Alessia Benevento; Fabrizio Durante (Spatial Statistics, 2024)

A criterion and incremental design construction for simultaneous kriging predictions - Helmut Waldl; Werner G. Müller; Paula Camelia Trandafir (Spatial Statistics, 2024)

Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting - Duncan Lee (Spatial Statistics, 2024)

Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo - Takahiro Onizuka; Shintaro Hashimoto; Shonosuke Sugasawa (Spatial Statistics, 2024)

Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics - Nicholas Grieshop; Christopher K. Wikle (Spatial Statistics, 2024)

An object-oriented approach to the analysis of spatial complex data over stream-network domains - Chiara Barbi; Alessandra Menafoglio; Piercesare Secchi (Spatial Statistics, 2023)

A spatial model with vaccinations for COVID-19 in South Africa - Claudia Dresselhaus; Inger Fabris-Rotelli; Raeesa Manjoo-Docrat; Warren Brettenny; Jenny Holloway; Nada Abdelatif; Renate Thiede; Pravesh Debba; Nontembeko Dudeni-Tlhone (Spatial Statistics, 2023)

General spatial model meets adaptive shrinkage generalized moment estimation: Simultaneous model and moment selection - Yunquan Song; Yaqi Liu; Xiaodi Zhang; Yuanfeng Wang (Spatial Statistics, 2023)

Geographically Weighted Zero-Inflated Negative Binomial Regression: A general case for count data - Alan Ricardo da Silva; Marcos Douglas Rodrigues de Sousa (Spatial Statistics, 2023)

Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R” - Patrick E. Brown (Spatial Statistics, 2023)

Which parameterization of the Matérn covariance function? - Kesen Wang; Sameh Abdulah; Ying Sun; Marc G. Genton (Spatial Statistics, 2023)

A more accurate estimation with kernel machine for nonparametric spatial lag models - Yu Shu; Jinwen Liang; Yaohua Rong; Zhenzhen Fu; Yi Yang (Spatial Statistics, 2023)

Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling - Ezra Gayawan; Osafu Augustine Egbon (Spatial Statistics, 2023)

A spatiotemporal inference model for hazard chains based on weighted dynamic Bayesian networks for ground subsidence in mining areas - Yahong Liu; Jin Zhang (Spatial Statistics, 2023)

Generalised hyperbolic state space models with application to spatio-temporal heat wave prediction - Daisuke Murakami; Gareth W. Peters; François Septier; Tomoko Matsui (Spatial Statistics, 2023)

Semiparametric regression for spatial data via deep learning - Kexuan Li; Jun Zhu; Anthony R. Ives; Volker C. Radeloff; Fangfang Wang (Spatial Statistics, 2023)

Spatial linear discriminant analysis approaches for remote-sensing classification - Thomas Suesse; Alexander Brenning; Veronika Grupp (Spatial Statistics, 2023)

A parametric specification test for linear spatial autoregressive models - Yangbing Tang; Jiang Du; Zhongzhan Zhang (Spatial Statistics, 2023)

Spatio-temporal DeepKriging for interpolation and probabilistic forecasting - Pratik Nag; Ying Sun; Brian J. Reich (Spatial Statistics, 2023)

Information criteria for matrix exponential spatial specifications - Osman Doğan; Ye Yang; Süleyman Taşpınar (Spatial Statistics, 2023)

Deep learning and spatial statistics - Christopher K. Wikle; Jorge Mateu; Andrew Zammit-Mangion (Spatial Statistics, 2023)

A zero-dose vulnerability index for equity assessment and spatial prioritization in low- and middle-income countries - C.E. Utazi; H.M.T. Chan; I. Olowe; A. Wigley; N. Tejedor-Garavito; A. Cunningham; M. Bondarenko; J. Lorin; D. Boyda; D. Hogan; A.J. Tatem (Spatial Statistics, 2023)

A spatial panel autoregressive model specification with inverse quantile separation distances of locations - Bedanie G. Bulty; Butte Gotu; Gemechis Djira (Spatial Statistics, 2023)

A Poisson cokriging method for bivariate count data - David Payares-Garcia; Frank Osei; Jorge Mateu; Alfred Stein (Spatial Statistics, 2023)

Distribution free prediction for geographically weighted functional regression models - Andrea Diana; Elvira Romano; Antonio Irpino (Spatial Statistics, 2023)

Effects of geographically stratified random sampling initial solutions on solving a continuous surface p-median location problem using the ALTERN heuristic - Changho Lee; Daniel A. Griffith; Yongwan Chun; Hyun Kim (Spatial Statistics, 2023)

Fuzzy clustering of spatial interval-valued data - Pierpaolo D’Urso; Livia De Giovanni; Lorenzo Federico; Vincenzina Vitale (Spatial Statistics, 2023)

Nonparametric spatial autoregressive model using deep neural networks - Shuyue Xiao; Yunquan Song; Zhijian Wang (Spatial Statistics, 2023)

Dynamic ICAR Spatiotemporal Factor Models - Hwasoo Shin; Marco A.R. Ferreira (Spatial Statistics, 2023)

Extended Laplace approximation for self-exciting spatio-temporal models of count data - Nicholas J. Clark; Philip M. Dixon (Spatial Statistics, 2023)

Spatially penalized registration of multivariate functional data - Xiaohan Guo; Sebastian Kurtek; Karthik Bharath (Spatial Statistics, 2023)

Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey - Muhlis Ardiansyah; Hari Wijayanto; Anang Kurnia; Anik Djuraidah (Spatial Statistics, 2023)

Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes - Bethany J. Macdonald; Tilman M. Davies; Martin L. Hazelton (Spatial Statistics, 2023)

Dynamic space–time panel data models: An eigendecomposition-based bias-corrected least squares procedure - Georges Bresson; Anoop Chaturvedi (Spatial Statistics, 2023)

A hypothesis test for detecting distance-specific clustering and dispersion in areal data - Stella Self; Anna Overby; Anja Zgodic; David White; Alexander McLain; Caitlin Dyckman (Spatial Statistics, 2023)

Data fusion of distance sampling and capture-recapture data - Narmadha M. Mohankumar; Trevor J. Hefley; Katy M. Silber; W. Alice Boyle (Spatial Statistics, 2023)

A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting - Reetam Majumder; Brian J. Reich (Spatial Statistics, 2023)

A unified geographically weighted regression model - Ying Wu; Zhipeng Tang; Shifeng Xiong (Spatial Statistics, 2023)

A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro - Stefano Cabras; Sun He (Spatial Statistics, 2023)

A kernel-enriched order-dependent nonparametric spatio-temporal process - Moumita Das; Sourabh Bhattacharya (Spatial Statistics, 2023)

Spatially varying anisotropy for Gaussian random fields in three-dimensional space - Martin Outzen Berild; Geir-Arne Fuglstad (Spatial Statistics, 2023)

Deep hierarchical generalized transformation models for spatio-temporal data with discrepancy errors - Jonathan R. Bradley; Shijie Zhou; Xu Liu (Spatial Statistics, 2023)

Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires - Joel Janek Dabrowski; Daniel Edward Pagendam; James Hilton; Conrad Sanderson; Daniel MacKinlay; Carolyn Huston; Andrew Bolt; Petra Kuhnert (Spatial Statistics, 2023)

Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation - I. Karafiátová; J. Møller; Z. Pawlas; J. Staněk; F. Seitl; V. Beneš (Spatial Statistics, 2023)

A Markov chain model for geographical accessibility - Renate N. Thiede; Inger N. Fabris-Rotelli; Pravesh Debba; Christopher W. Cleghorn (Spatial Statistics, 2023)

A Bayesian model for multivariate discrete data using spatial and expert information with application to inferring building attributes - Christopher Krapu; Nolan Hayes; Robert Stewart; Kuldeep Kurte; Amy Rose; Alex Sorokine; Marie Urban (Spatial Statistics, 2023)

Deep learning for the spatial additive autoregressive model with nonparametric endogenous effect - Zhijian Wang; Yunquan Song (Spatial Statistics, 2023)

A log-additive neural model for spatio-temporal prediction of groundwater levels - Dan Pagendam; Sreekanth Janardhanan; Joel Dabrowski; Dan MacKinlay (Spatial Statistics, 2023)

Analyzing COVID-19 data in the Canadian province of Manitoba: A new approach - Leila Amiri; Mahmoud Torabi; Rob Deardon (Spatial Statistics, 2023)

Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach - Stephen Jun Villejo; Janine B Illian; Ben Swallow (Spatial Statistics, 2023)

Comparing eight remotely sensed sea surface temperature products and Bayesian maximum entropy-based data fusion products - Zekun Gao; Yutong Jiang; Junyu He; Jiaping Wu; George Christakos (Spatial Statistics, 2023)

Constructing large nonstationary spatio-temporal covariance models via compositional warpings - Quan Vu; Andrew Zammit-Mangion; Stephen J. Chuter (Spatial Statistics, 2023)

SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates - Mirko Mälicke; Alberto Guadagnini; Erwin Zehe (Spatial Statistics, 2023)

Application of improved Moran’s I in the evaluation of urban spatial development - Yufan Wang; Wangyong Lv; Minjian Wang; Xu Chen; Yao Li (Spatial Statistics, 2023)

On using Reproducing Kernel Hilbert Spaces for the analysis of Replicated Spatial Point Processes - A. Simó (Spatial Statistics, 2023)

A spatio-temporal multinomial model of firearm death in Ecuador - Jorge Sosa; Álvaro Briz-Redón; Miguel Flores; Mauricio Abril; Jorge Mateu (Spatial Statistics, 2023)

Flexible spatio-temporal Hawkes process models for earthquake occurrences - Junhyeon Kwon; Yingcai Zheng; Mikyoung Jun (Spatial Statistics, 2023)

Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia - Nur’ainul Miftahul Huda; Nurfitri Imro’ah (Spatial Statistics, 2023)

Second-order smoothness prior over the Delaunay Tessellation in Bayesian geophysical inversion - Yuanyuan Niu; Jiancang Zhuang; Ziyao Xiong (Spatial Statistics, 2023)

Using echo state networks to inform physical models for fire front propagation - Myungsoo Yoo; Christopher K. Wikle (Spatial Statistics, 2023)

Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana - Prince Addo Allotey; Ofer Harel (Spatial Statistics, 2023)

Bivariate spatial clustering in differential time trends of related tropical diseases: Application to diarrhea and intestinal parasite infections - Frank Badu Osei; Alfred Stein (Spatial Statistics, 2023)

Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients - Davood Poursina; B. Wade Brorsen; Dayton M. Lambert (Spatial Statistics, 2023)

Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting - Ying C. MacNab (Spatial Statistics, 2023)

Joint estimation of extreme spatially aggregated precipitation at different scales through mixture modelling - Jordan Richards; Jonathan A. Tawn; Simon Brown (Spatial Statistics, 2023)

Uncovering drivers of community-level house price dynamics through multiscale geographically weighted regression: A case study of Wuhan, China - Binbin Lu; Yong Ge; Yilin Shi; Jianghua Zheng; Paul Harris (Spatial Statistics, 2023)

Discriminant analysis of environmental data based on zero inflated spatial auto-beta models - Eglė Zikarienė; Kęstutis Dučinskas (Spatial Statistics, 2023)

Spatiotemporal modeling of traffic risk mapping: A study of urban road networks in Barcelona, Spain - Somnath Chaudhuri; Marc Saez; Diego Varga; Pablo Juan (Spatial Statistics, 2023)

Effective sample size for georeferenced and temporally evolving data - Alfredo Alegría (Spatial Statistics, 2023)

Mapping the short-term exposure–response relationships between environmental factors and health outcomes and identifying the causes of heterogeneity: A multivariate-conditional-meta-autoregression-based two-stage strategy - Wei Wang; Fang Liao; Fei Yin; Yue Ma (Spatial Statistics, 2023)

Surface time series models for large spatio-temporal datasets - Israel Martínez-Hernández; Marc G. Genton (Spatial Statistics, 2023)