Environmetrics
2012 - 2026
From John Wiley & Sons, Ltd. Bibliographic data for series maintained by Wiley Content Delivery (). Access Statistics for this journal.
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Volume 37, issue 6, 2026
- Secondary Fuzzy Clustering of Multi‐Dimensional 2D Time Series Arrays (SFC‐2DTSA) Using DTW Metric: An Application to Drought Data

- Abdul Wahid, Asad Ellahi, Waqar Hassan and Abdul Qudair Baig
- Quantile Estimation in Rainfall Frequency Analysis With Log‐Logistic Distribution Using Pivotal Quantities: Method, Effect, and Application

- Weiqiang Zheng, Shuguang Liu and Zhengzheng Zhou
- Counterfactual Evaluation of Traffic Restrictions on Air Quality in Milan's Congestion Charge Zone Using Matrix Completion

- Roxana Adam, Francesco Biancalani and Rodolfo Metulini
- R‐Learner Data Integration for Estimating Population Trends From Opportunistic and Structured Survey Data

- Andrew B. Whetten, Renata M. Diaz, Wesley M. Hochachka, Andrew Stillman, Courtney Lynn Davis, Tom Auer, Matt Strimas‐Mackey, Viviana Ruiz‐Gutierrez, Paige E. Howell, Eric Kershner and Daniel Fink
- Agreement Coefficients for Continuous Variables: A Review

- Ronny O. Vallejos
- Spatial‐Awared Deep Echo State Networks for High‐Resolution Spatio‐Temporal Wind Speed Nowcasting

- Zipei Geng, Stefano Castruccio and Marc G. Genton
- Compositional Outcomes and Environmental Mixtures: The Dirichlet Bayesian Weighted Quantile Sum Regression

- Hachem Saddiki, Joshua L. Warren, Corina Lesseur and Elena Colicino
- Enhancing Identifiable Variational Autoencoder in the Presence of Missing Values and Auxiliary Covariates for Spatio‐Temporal Ozone Modeling

- Mika Sipilä, Sandra De Iaco, Claudia Cappello, Klaus Nordhausen, Monica Palma and Sara Taskinen
- Multi‐Step Forecasting of Wind Speed and Solar Irradiance Using Lag‐Optimized Stochastic Stacked LSTM Networks

- Brahim Taoussi, Chahtou Amina and Fares Sofiane Mazouni
- Hierarchical Spatio‐Temporal Model Under t$$ t $$‐Process With Application

- Chunzheng Cao, Wenzhu Chen and Xiaoxin Zhu
- A Functional Principal Component Analysis Framework for Vibration‐Based Structural Condition Assessment of Highway Bridge Spans

- Gianna Agrò and Mariantonietta Ruggieri
- Bayesian Mediation Analysis With Bayesian Additive Regression Trees

- Qingzhao Yu and Bin Li
- Short‐Term CO 2$$ {}_2 $$ Emissions Forecasting: Insight From the Italian Electricity Market

- Pierdomenico Duttilo and Francesco Lisi
- A Spatial Mean‐Mixture Gaussian Model for Skewed Geostatistical Data

- Bahman Hamidian, Hossein Baghishani, Negar Eghbal and Jamil Ownuk
- Demystifying Spatial Confounding—A Unified Analytical Framework for the Bias in Covariate Effect Estimates

- Emiko Dupont, Isa Marques and Thomas Kneib
- Deep Spatially Varying Coefficient Model for Interpolation of Non‐Stationary Meteorological Data

- Tong Wu, Nan Chen and Zhi‐Sheng Ye
- Multiple Change Point Detection for Nonstationary Network Autoregressive Models With Node‐Level Dynamics

- Ruishan Lin and Abolfazl Safikhani
- Bayesian Inference for the Automultinomial Model With an Application to Landcover Data

- Maria Paula Duenas‐Herrera, Stephen Berg and Murali Haran
- Modeling GHG Emissions Across Selected South Asian Countries Using a Unit Log‐Log Quantile Mixed Model

- Nirajan Bam
- Directional Asymmetry in Edge‐Based Spatial Models via a Skew–Normal Prior

- Danna L. Cruz‐Reyes, Renato M. Assunção, Reinaldo B. Arellano‐Valle and Rosangela H. Loschi
- Time‐Aware UNet and Super‐Resolution Deep Residual Networks for Spatial Downscaling

- Mika Sipilä, Sabrina Maggio, Sandra De Iaco, Klaus Nordhausen, Monica Palma and Sara Taskinen
- A Bayesian Hierarchical Spatiotemporal Model With Physical Barriers for Extreme Sea‐Level Prediction in Ireland

- Fernando Mayer, Niamh Mimnagh and Niamh Cahill
- Discussion of “Spatio‐Temporal Modeling of Extreme Induced Seismicity in the Presence of an Evolving Measurement Network”

- Daniel Cooley
- Discussion on “Spatio‐Temporal Modelling of Extreme Induced Seismicity in the Presence of An Evolving Measurement Network”

- Dáire Healy and Ilaria Prosdocimi
- Bayesian Spatiotemporal Models for Counts of Tropospheric Ozone Daily Exceedances

- Michela Frigeri, Alessandra Guglielmi and Cristina Colombi
- Modeling Spatial Extremes Using Non‐Gaussian Spatial Autoregressive Models via Convolutional Neural Networks

- Sweta Rai, Douglas W. Nychka and Soutir Bandyopadhyay
- Analysis of Count Time Series Through Integer‐Valued Autoregressive (INAR) Process With Zero‐Inflation and Seasonality

- Subhankar Chattopadhyay, Atanu Biswas, Samarjit Das, Raju Maiti and Jing‐Shiang Hwang
- High‐Resolution Retrieval of Atmospheric Boundary Layers With Nonstationary Gaussian Processes

- Haoran Xiong, Paytsar Muradyan, Robert Jackson and Christopher J. Geoga
- Models for Temporal Clustering of Extreme Events With Applications to Mid‐Latitude Winter Cyclones

- Christina Mathieu, Merle Mendel, Katharina Hees and Roland Fried
- Multidimensional Integral Fractional Ornstein–Uhlenbeck Process With an Application to Animal Movement

- J. H. Ramírez‐González, Erick A. Chacón‐Montalván, Paula Moraga and Ying Sun
- Modelling and Forecasting of Complex Multiple Seasonalities in Categorical Time Series using TSOLR and ISOLR Models

- Anirban Ghosh and Raju Maiti
- Gradient‐Boosted Mixture Regression Models for Postprocessing Ensemble Weather Forecasts

- David Jobst
- Stationary Subspace Analysis for Spatial Data

- Perttu Saarela, Klaus Nordhausen, Jaakko Pere and Anne M. Ruiz
- Why Are Estimates of Attributable and Avoidable Health Events due to Exposure to Fine Particulate Sources Different?

- Richard T. Burnett
Volume 37, issue 5, 2026
- Beyond Average Hive Performance: Tail Risk Measurement in Italian Apiculture With Honey‐at‐Risk

- Alessio Brini, Giacomo Toscano, Ginevra Virginia Lombardi and Maria Elvira Mancino
- A Scalable Bayesian Spatiotemporal Model for Water Level Predictions Using a Nearest Neighbor Gaussian Process Approach

- Victor Hugo Nagahama, James Sweeney and Niamh Cahill
- Capturing Aleatoric Uncertainty in Climate Models

- Cornelia Gruber, Henri Funk, Magdalena Mittermeier, Helmut Küchenhoff and Göran Kauermann
- Spatiotemporal Analysis of Extreme Winter Temperatures in Ireland

- Dáire Healy, Jonathan A. Tawn, Peter Thorne and Andrew Parnell
- The Q$$ Q $$‐Score: A Magnitude‐Weighted Goodness‐of‐Fit Score for Earthquake Forecasting

- Julia Jansson Valter, Alejandra Arjon, Francesco Serafini and Frederic Schoenberg
- A Bayesian Approach and Vecchia Grouping for Estimating Spatial Covariances in Large Datasets

- Fatemeh Ghasemi, Ali M. Mosammam and Jorge Mateu
- Hierarchical Bayesian Modeling of Total Column Ozone: Unraveling Equatorial Variability Over Ethiopia Using Satellite Data and Multisource Covariates

- Yassin Tesfaw Abebe, Abdu Mohammed Seid, Lassi Roininen, U. Jaya Parakash Raju and Abebaw Bizuneh Alemu
- Bayesian Nonparametric Clustering for Spatiotemporal Data, With an Application to Air Pollution

- Luca Aiello, Raffaele Argiento, Sirio Legramanti and Lucia Paci
Volume 37, issue 4, 2026
- Spatiotemporal Magnitude Classification: A New Approach Using a Graph Convolution LSTM Model

- Orietta Nicolis, Alonso Riveros and Billy Peralta
- A Hybrid Nonparametric Framework for Outlier Detection in Functional Time Series

- David Solano, Ruben Dario Guevara, Sergio A. Calderón V., Marc Saez and Maria A. Barceló
- Unified Calibration and Spatial Mapping of Fine Particulate Matter Data From Multiple Low‐Cost Air Pollution Sensor Networks in Baltimore, Maryland

- Claire Heffernan, Kirsten Koehler, Drew R. Gentner, Roger D. Peng and Abhirup Datta
- Long‐Term Historical Slowdown in Atlantic Meridional Overturning Circulation

- Yizi Cheng, Roman Olson, Jongsoo Shin, Soon‐Il An and Won Chang
- Bayesian Poisson‐Lognormal Regression With Compositional Effect Shares for Multivariate Count Data

- Abdolnasser Sadeghkhani
- A Modelling Framework for Estimating Underlying Lagged Effects in Aggregated Health Data

- Theo Economou
- Predicting Direction of High‐Speed Wind: A Bayesian Approach to Conditional Cylindrical Distributions

- Najmeh Nakhaei Rad, Sonali Das and Christophe Ley
- Estimation of Spatial and Temporal Autoregressive Effects Using LASSO—An Example of Hourly Particulate Matter Concentrations

- Elkanah Nyabuto, Philipp Otto and Yarema Okhrin
Volume 37, issue 3, 2026
- Generalized Additive Model With Dynamic Coefficients for Spatiotemporal Ozone Predictions

- Abdollah Jalilian, Claudia Cappello, Monica Palma and Sandra De Iaco
- A Dynamic Model for Extreme Hourly Precipitation

- Debbie J. Dupuis, Carlotta Pacifici and Luca Trapin
- Spatial Approach of Peaks‐Over‐Thresholds in Trend Detection of Extremes

- Béwentaoré Sawadogo and Diakarya Barro
- What Seismic Phase is L'Aquila in Fifteen Years After the Mw6.1$$ {M}_w\kern0.3em 6.1 $$ Earthquake of April 6, 2009?

- Elisa Varini, Renata Rotondi and Alex González Fuentes
- Bayesian Spatial Analysis of Misclassified Binary Data Incorporating Internal‐Validation Studies

- Yuhan Ma, Kyuhee Shin, GyuWon Lee and Joon Jin Song
- XGBoost Meets INLA: A Two‐Stage Spatio‐Temporal Forecasting of Wildfires in Portugal

- Chenglei Hu, Regina Baltazar Bispo, Håvard Rue, Carlos C. DaCamara, Ben Swallow and Daniela Castro‐Camilo
- Spatio‐Temporal Modelling of Extreme Induced Seismicity in the Presence of An Evolving Measurement Network

- Conor Murphy, Jonathan A. Tawn, Zak Varty, Ross Towe and Peter M. Atkinson
- A New Clustering Strategy for Geo‐Referenced Time Series Based on Optimal Transport

- Pasquale Pipiciello, Antonio Balzanella and Gianmarco Borrata
- Multi‐Resolution Spatial Methods on the Sphere: Efficient Prediction for Global Data

- Hao‐Yun Huang, Hsin‐Cheng Huang and Ching‐Kang Ing
- Clustering the Nearest Neighbor Gaussian Process

- Ashlynn Crisp, Andrew O. Finley and Daniel Taylor‐Rodríguez
- A Matsuoka‐Based GARMA Model for Environmental and Energy Systems: Theory, Estimation, and Applications

- Guilherme Pumi, Danilo Hiroshi Matsuoka, Taiane Schaedler Prass and Bruna Gregory Palm
- Modeling Benthic Animals in Space and Time Using Bayesian Point Process With Cross Validation: The Case of Holoturians

- Daniele Poggio, Gian Mario Sangiovanni, Gianluca Mastrantonio, Giovanna Jona Lasinio, Edoardo Casoli, Stefano Moro and Daniele Ventura
- Causal Inference for Geostatistical Data Using an INLA‐based Spatial Propensity Score

- Chiara Di Maria, Alessandro Albano, Mariangela Sciandra and Antonella Plaia
- Dependence Between Effort Offsets and Process Intensity in Generalized Models for Count Data: Spatial Models of Animal Abundance

- Paul B. Conn and Megan C. Ferguson
Volume 37, issue 2, 2026
- Enhancing the Accuracy of Spatio‐Temporal Models for Wind Speed Prediction by Incorporating Bias‐Corrected Crowdsourced Data

- Eamonn Organ, Maeve Upton, Denis Allard, Lionel Benoit and James Sweeney
- A Bayesian Spatiotemporal Functional Model for Data With Block Structure and Repeated Measures

- David H. da Matta, Mariana R. Motta, Nancy L. Garcia and Alexandre B. Heinemann
- Bayesian Inference for Spatially‐Temporally Misaligned Data Using Predictive Stacking

- Soumyakanti Pan and Sudipto Banerjee
- Accounting for Missing Data When Modelling Block Maxima

- Emma S. Simpson and Paul J. Northrop
- A New Unit‐Lindley Mixed‐Effects Model With an Application to Electricity Access Data

- Nirajan Bam, Laxmi Prasad Sapkota and Josmar Mazucheli
- Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data

- Man Ho Suen, Mark Naylor and Finn Lindgren
- Modeling Spatio‐Temporal Transport: From Rigid Advection to Realistic Dynamics

- Maria Laura Battagliola and Sofia C. Olhede
- Estimation of Parameters in Inhomogeneous Neyman‐Scott Processes Using Presence/Absence Data

- Magnus Ekström, Léna Gozé, Saskia Sandring, Bengt Gunnar Jonsson, Jörgen Wallerman and Göran Ståhl
- Accounting for Preferential Sampling in Geostatistical Inference

- Rui Qiang and Peter F. Craigmile
- Statistical Downscaling of the Bulk and Tail of Simulated Precipitations

- Gabriel Gobeil, Jonathan Jalbert and Philippe Roy
- Long Short‐Term Memory Network and Statistical Time Series Analysis Forecast Models for 30 min Interval Wind Farm Power Output and Regional Price Variables

- Luigi R. Cirocco, Joshua Chopin, Belinda Chiera and John W. Boland
- Estimating the Impact of Socioeconomic Drivers on Land Degradation in Italy via Spatio‐Temporal Additive Expectile Regression

- Luca Merlo, Beatrice Foroni, Ioannis Konaxis, Lea Petrella and Luca Salvati
Volume 37, issue 1, 2026
- Return Period of Nonconcurrent Climate Compound Events: A Nonparametric Bivariate Generalized Pareto Approach

- Grégoire Jacquemin, Denis Allard, Xavier Freulon and Mathieu Vrac
- Trends in Rainfall and Temperature in the Murray Mallee and Upper Eyre Peninsula Region of South Australia—Connections to Climate and Land Use Change

- Sachinda Ekanayake, John Boland, Baden Myers and Guna A. Hewa
- A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5$$ {\mathrm{PM}}_{2.5} $$ in an Urban Setting

- Abi I. Riley, Marta Blangiardo, Frédéric B. Piel, Andrew Beddows, Sean Beevers, Gary W. Fuller, Paul Agnew and Monica Pirani
- Multiscale Multi‐Type Spatial Bayesian Analysis for High‐Dimensional Data With Application to Wildfires and Migration

- Shijie Zhou and Jonathan R. Bradley
- Modeling Bounded Count Environmental Data Using a Contaminated Beta‐Binomial Regression Model

- Arnoldus F. Otto, Antonio Punzo, Johannes T. Ferreira, Andriëtte Bekker, Salvatore D. Tomarchio and Cristina Tortora
- Spatio‐Temporal Analysis of Extreme PM2.5 Levels in Taiwan

- Bing‐Ru Jhou, Nan‐Jung Hsu and Hsin‐Cheng Huang
- Modeling the Spatial Interplay Between Migration and Environmental Conditions

- Daniela Ghio, Sarah Hoyos‐Hoyos, Gavin Liu, Emmanuel Kyeremeh, Robert McLeman, Gabby Resch and Ali Mazalek
- Improving and Evaluating Resistant Alternatives to Procrustes Analysis for Multivariate Dataset Matching

- Xiaozhuo Tang and Donald A. Jackson
- Demonstrating the Power and Flexibility of Variational Assumptions for Amortized Neural Posterior Estimation in Environmental Applications

- Elliot Maceda, Emily C. Hector, Amanda Lenzi and Brian J. Reich
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