Environmetrics

2012 - 2025

From John Wiley & Sons, Ltd.
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Volume 36, issue 2, 2025

A Multivariate Approach for Modeling Spatio‐Temporal Agrometeorological Variables

Sandra De Iaco, Claudia Cappello, Monica Palma and Klaus Nordhausen

Multidimensional Spatiotemporal Clustering – An Application to Environmental Sustainability Scores in Europe

Caterina Morelli, Simone Boccaletti, Paolo Maranzano and Philipp Otto

Spatially Explicit Model to Disentangle Effects of Environment on Annual Fish Reproduction

Ilaria Pia, Elina Numminen, Lari Veneranta and Jarno Vanhatalo

Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO2 Emissions

Donatella Baiardi and Simona Scabrosetti

The Effect of the North Atlantic Oscillation on Monthly Precipitation in Selected European Locations: A Non‐Linear Time Series Approach

Changli He, Jian Kang, Annastiina Silvennoinen and Timo Teräsvirta

P‐min‐Stable Regression Models for Time Series With Extreme Values of Limited Range

Leonardo Brandao Freitas Nascimento, Max Sousa Lima and Luiz H. Duczmal

Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models” by Bonas et al

Philipp Otto

Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models

Francesco Finazzi, Jacopo Rodeschini and Lorenzo Tedesco

Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids

Juan Francisco Mandujano Reyes, Ting Fung Ma, Ian P. McGahan, Daniel J. Storm, Daniel P. Walsh and Jun Zhu

Fuzzy Clustering of Circular Time Series With Applications to Wind Data

Ángel López‐Oriona, Ying Sun and Rosa María Crujeiras

Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models

Nathaniel K. Newlands and Vyacheslav Lyubchich

Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”

Paolo Maranzano and Paul A. Parker

Stacking Weights and Model Space Selection in Frequentist Model Averaging for Benchmark Dose Estimation

Jens Riis Baalkilde, Niels Richard Hansen and Signe Marie Jensen

Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models

Ansgar Steland

Statistical Inference for Natural Resources and Biodiversity

Sara Franceschi and Caterina Pisani

Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events

Albert Folcher and Jean‐François Quessy

New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models

Thiago A. N. De Andrade, Frank Gomes‐Silva and Indranil Ghosh

Volume 36, issue 1, 2025

Sampling design methods for making improved lake management decisions

Vilja Koski and Jo Eidsvik

Testing for galactic cosmic ray warming hypothesis using the notion of block‐exogeneity

Umberto Triacca

High dimensional variable selection through group Lasso for multiple function‐on‐function linear regression: A case study in PM10 monitoring

Adelia Evangelista, Christian Acal, Ana M. Aguilera, Annalina Sarra, Tonio Di Battista and Sergio Palermi

A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities

Serena Arima, Crescenza Calculli and Alessio Pollice

Assessing predictability of environmental time series with statistical and machine learning models

Matthew Bonas, Abhirup Datta, Christopher K. Wikle, Edward L. Boone, Faten S. Alamri, Bhava Vyasa Hari, Indulekha Kavila, Susan J. Simmons, Shannon M. Jarvis, Wesley S. Burr, Daniel E. Pagendam, Won Chang and Stefano Castruccio

Functional zoning of biodiversity profiles

Natalia Golini, Rosaria Ignaccolo, Luigi Ippoliti and Nicola Pronello

Achieving spatial balance in environmental surveys under constant inclusion probabilities or inclusion density functions

Rosa M. Di Biase, Marzia Marcheselli and Caterina Pisani

Applying sequential adaptive strategies for sampling animal populations: An empirical study

Rosa M. Di Biase and Fulvia Mecatti

Similarity network aggregation for the analysis of glacier ecosystems

Roberto Ambrosini, Federica Baccini and Lucio Barabesi

Estimating the spatial distribution of the white shark in the Mediterranean Sea via an integrated species distribution model accounting for physical barriers

Greta Panunzi, Stefano Moro, Isa Marques, Sara Martino, Francesco Colloca, Francesco Ferretti and Giovanna Jona Lasinio

A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From NASA's GEDI and Landsat Missions

Svetlana Saarela, Sean P. Healey, Zhiqiang Yang, Bjørn‐Eirik Roald, Paul L. Patterson, Terje Gobakken, Erik Næsset, Zhengyang Hou, Ronald E. McRoberts and Göran Ståhl

Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression

Emrah Gecili, Cole Brokamp, Özgür Asar, Eleni‐Rosalina Andrinopoulou, John J. Brewington and Rhonda D. Szczesniak

Entropy‐Based Assessment of Biodiversity, With Application to Ants' Nests Data

L. Altieri, D. Cocchi and Massimo Ventrucci

Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data

Fabian R. Ketwaroo, Eleni Matechou, Matthew Silk and Richard Delahay

Calibrating Satellite Maps With Field Data for Improved Predictions of Forest Biomass

Paul B. May and Andrew O. Finley

Volume 35, issue 8, 2024

Modeling nonstationary surface‐level ozone extremes through the lens of US air quality standards: A Bayesian hierarchical approach

Jax Li, Brook T. Russell, Whitney K. Huang and William C. Porter

A Varying Precision Beta Prime Autoregressive Moving Average Model With Application to Water Flow Data

Kleber H. Santos and Francisco Cribari‐Neto

Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas

David Jobst, Annette Möller and Jürgen Groß

Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression

Matteo Tomasetto, Eleonora Arnone and Laura M. Sangalli

Characterizing Asymptotic Dependence between a Satellite Precipitation Product and Station Data in the Northern US Rocky Mountains via the Tail Dependence Regression Framework With a Gibbs Posterior Inference Approach

Brook T. Russell, Yiren Ding, Whitney K. Huang and Jamie L. Dyer

Volume 35, issue 5, 2024

Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects

Jesper Muren, Vilhelm Niklasson, Dmitry Otryakhin and Maxim Romashin

Scanner: Simultaneously temporal trend and spatial cluster detection for spatial‐temporal data

Xin Wang and Xin Zhang

Contamination severity index: An analysis of Bangladesh groundwater arsenic

Yogendra P. Chaubey and Qi Zhang

Pointwise data depth for univariate and multivariate functional outlier detection

Cristian F. Jiménez‐Varón, Fouzi Harrou and Ying Sun

Bayesian benchmark dose risk assessment with mixed‐factor quantal data

Mirjana Glisovic‐Bensa, Walter W. Piegorsch and Edward J. Bedrick

Volume 35, issue 4, 2024

Statistical evaluation of a long‐memory process using the generalized entropic value‐at‐risk

Hidekazu Yoshioka and Yumi Yoshioka

Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach

Elliot S. Shannon, Andrew O. Finley, Daniel J. Hayes, Sylvia N. Noralez, Aaron R. Weiskittel, Bruce D. Cook and Chad Babcock

Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability

Danielle Demateis, Kayleigh P. Keller, David Rojas‐Rueda, Marianthi‐Anna Kioumourtzoglou and Ander Wilson

Recursive nearest neighbor co‐kriging models for big multi‐fidelity spatial data sets

Si Cheng, Bledar A. Konomi, Georgios Karagiannis and Emily L. Kang

Estimation and selection for spatial zero‐inflated count models

Chung‐Wei Shen and Chun‐Shu Chen

Volume 35, issue 3, 2024

Temporal evolution of the extreme excursions of multivariate k$$ k $$th order Markov processes with application to oceanographic data

Stan Tendijck, Philip Jonathan, David Randell and Jonathan Tawn

New generalized extreme value distribution with applications to extreme temperature data

Wilson Gyasi and Kahadawala Cooray

Structural equation models for simultaneous modeling of air pollutants

Mariaelena Bottazzi Schenone, Elena Grimaccia and Maurizio Vichi

Multivariate nearest‐neighbors Gaussian processes with random covariance matrices

Isabelle Grenier, Bruno Sansó and Jessica L. Matthews

Fast parameter estimation of generalized extreme value distribution using neural networks

Sweta Rai, Alexis Hoffman, Soumendra Lahiri, Douglas W. Nychka, Stephan R. Sain and Soutir Bandyopadhyay

Volume 35, issue 2, 2024

Spatial regression modeling via the R2D2 framework

Eric Yanchenko, Howard D. Bondell and Brian J. Reich

Joint species distribution modeling with competition for space

Juho Kettunen, Lauri Mehtätalo, Eeva‐Stiina Tuittila, Aino Korrensalo and Jarno Vanhatalo

An extended PDE‐based statistical spatio‐temporal model that suppresses the Gibbs phenomenon

Guanzhou Wei, Xiao Liu and Russell Barton

Locally correlated Poisson sampling

Wilmer Prentius

Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables

Ross McKitrick

Volume 35, issue 1, 2024

Estimation of change with partially overlapping and spatially balanced samples

Xin Zhao and Anton Grafström

Elastic functional changepoint detection of climate impacts from localized sources

J. Derek Tucker and Drew Yarger

On the identifiability of the trinomial model for mark‐recapture‐recovery studies

Simon J. Bonner, Wei Zhang and Jiaqi Mu

A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency

F. Marta L. Di Lascio, Andrea Menapace and Roberta Pappadà

Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression

Matthew Bonas, Christopher K. Wikle and Stefano Castruccio