Environmetrics
2012 - 2024
From John Wiley & Sons, Ltd.
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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
Volume 34, issue 8, 2023
- Estimating atmospheric motion winds from satellite image data using space‐time drift models
- Indranil Sahoo, Joseph Guinness and Brian J. Reich
- Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto
- Sara Zapata‐Marin, Alexandra M. Schmidt, Scott Weichenthal and Eric Lavigne
- Bayesian functional emulation of CO2 emissions on future climate change scenarios
- Luca Aiello, Matteo Fontana and Alessandra Guglielmi
- Novel application of a process convolution approach for calibrating output from numerical models
- Maike Holthuijzen, Dave Higdon, Brian Beckage and Patrick J. Clemins
- Bayesian spatio‐temporal survival analysis for all types of censoring with application to a wildlife disease study
- Kehui Yao, Jun Zhu, Daniel J. O'Brien and Daniel Walsh
- A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields
- S. R. Johnson, S. E. Heaps, K. J. Wilson and D. J. Wilkinson
Volume 34, issue 7, 2023
- Detection of anomalous radioxenon concentrations: A distribution‐free approach
- Michele Scagliarini, Rosanna Gualdi, Giuseppe Ottaviano and Antonietta Rizzo
- Bayesian geostatistical modeling for discrete‐valued processes
- Xiaotian Zheng, Athanasios Kottas and Bruno Sansó
- A hierarchical Bayesian non‐asymptotic extreme value model for spatial data
- Federica Stolf and Antonio Canale
- Spatio‐temporal downscaling emulator for regional climate models
- Luis A. Barboza, Shu Wei Chou Chen, Marcela Alfaro Córdoba, Eric J. Alfaro and Hugo G. Hidalgo
- Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data
- Willams B. F. da Silva, Pedro M. Almeida‐Junior and Abraão D. C. Nascimento
Volume 34, issue 6, 2023
- Multistage hierarchical capture–recapture models
- Mevin B. Hooten, Michael R. Schwob, Devin S. Johnson and Jacob S. Ivan
- Subordinated Gaussian processes for solar irradiance
- Caitlin M. Berry, William Kleiber and Bri‐Mathias Hodge
- Assessing the ability of adaptive designs to capture trends in hard coral cover
- Thilan Awlp, P Menéndez and McGree Jm
- CO2 has significant implications for hourly ambient temperature: Evidence from Hawaii
- Kevin Forbes
- Air pollution estimation under air stagnation—A case study of Beijing
- Ying Zhang, Song Chen and Le Bao
Volume 34, issue 5, 2023
- Nonlinear prediction of functional time series
- Haixu Wang and Jiguo Cao
- CO2 emissions and growth: A bivariate bidimensional mean‐variance random effects model
- Antonello Maruotti and Pierfrancesco Alaimo Di Loro
- New estimation methods for extremal bivariate return curves
- C. J. R. Murphy‐Barltrop, J. L. Wadsworth and E. F. Eastoe
- Approximation of Bayesian Hawkes process with inlabru
- Francesco Serafini, Finn Lindgren and Mark Naylor
- Long memory conditional random fields on regular lattices
- Angela Ferretti, L. Ippoliti, P. Valentini and R. J. Bhansali
Volume 34, issue 4, 2023
- Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure
- Kyusoon Kim, Hee‐Seok Oh and Minsu Park
- Functional forecasting of dissolved oxygen in high‐frequency vertical lake profiles
- Luke Durell, J. Thad Scott, Douglas Nychka and Amanda S. Hering
- Bayesian multiple changepoint detection with missing data and its application to the magnitude‐frequency distributions
- Shaochuan Lu
- Stable sums to infer high return levels of multivariate rainfall time series
- Gloria Buriticá and Philippe Naveau
- A Bayesian time series model for reconstructing hydroclimate from multiple proxies
- Niamh Cahill, Jacky Croke, Micheline Campbell, Kate Hughes, John Vitkovsky, Jack Eaton Kilgallen and Andrew Parnell
- Mitigating spatial confounding by explicitly correlating Gaussian random fields
- Isa Marques, Thomas Kneib and Nadja Klein
Volume 34, issue 3, 2023
- Families of complex‐valued covariance models through integration
- Sandra De Iaco
- Multivariate receptor modeling with widely dispersed Lichens as bioindicators of air quality
- Matthew Heiner, Taylor Grimm, Hayden Smith, Steven D. Leavitt, William F. Christensen, Gregory T. Carling and Larry L. St. Clair
- A Bayesian change point modeling approach to identify local temperature changes related to urbanization
- C. Berrett, B. Gurney, D. Arthur, T. Moon and G. P. Williams
- Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada
- Fatima Palacios‐Rodriguez, Elena Di Bernardino and Melina Mailhot
- Comparing emulation methods for a high‐resolution storm surge model
- Grant Hutchings, Bruno Sansó, James Gattiker, Devin Francom and Donatella Pasqualini
Volume 34, issue 2, 2023
- Intersection between environmental data science and the R community in Latin America
- Natalia da Silva
- Framing data science, analytics and statistics around the digital earth concept
- E. Marian Scott
- Data science and climate risk analytics
- Stephan R. Sain
- Emulation of greenhouse‐gas sensitivities using variational autoencoders
- Laura Cartwright, Andrew Zammit‐Mangion and Nicholas M. Deutscher
- Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data
- Clément Laroche, Madalina Olteanu and Fabrice Rossi
- On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada
- Kevin Granville, Douglas G. Woolford, C. B. Dean, Dennis Boychuk and Colin B. McFayden
- Spatiotemporal modeling of mature‐at‐length data using a sliding window approach
- Yuan Yan, Eva Cantoni, Chris Field, Margaret Treble and Joanna Mills Flemming
- Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data
- Mehnaz Jahid, Holly N. Steeves, Jason T. Fisher, Simon J. Bonner, Saman Muthukumarana and Laura L. E. Cowen
- Flood hazard model calibration using multiresolution model output
- Samantha M. Roth, Ben Seiyon Lee, Sanjib Sharma, Iman Hosseini‐Shakib, Klaus Keller and Murali Haran
- A Bayesian framework for studying climate anomalies and social conflicts
- Ujjal Kumar Mukherjee, Benjamin E. Bagozzi and Snigdhansu Chatterjee
- Estimating functional single index models with compact support
- Yunlong Nie, Liangliang Wang and Jiguo Cao
- Environmental data science: Part 2
- Wesley S. Burr, Nathaniel K. Newlands and Andrew Zammit‐Mangion
- The role of data science in environmental digital twins: In praise of the arrows
- Gordon S. Blair and Peter A. Henrys
Volume 34, issue 1, 2023
- Uncertainty: Nothing is more certain
- Sally Cripps and Hugh Durrant‐Whyte
- Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data
- Shinichiro Shirota, Andrew O. Finley, Bruce D. Cook and Sudipto Banerjee
- Scalable spatio‐temporal smoothing via hierarchical sparse Cholesky decomposition
- Marcin Jurek and Matthias Katzfuss
- Detecting changes in mixed‐sampling rate data sequences
- Aaron Paul Lowther, Rebecca Killick and Idris Arthur Eckley
- A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution
- Oliver Baerenbold, Melanie Meis, Israel Martínez‐Hernández, Carolina Euán, Wesley S. Burr, Anja Tremper, Gary Fuller, Monica Pirani and Marta Blangiardo
- Stochastic tropical cyclone precipitation field generation
- William Kleiber, Stephan Sain, Luke Madaus and Patrick Harr
- Decisions, decisions, decisions in an uncertain environment
- Noel Cressie
- Large‐scale environmental data science with ExaGeoStatR
- Sameh Abdulah, Yuxiao Li, Jian Cao, Hatem Ltaief, David E. Keyes, Marc G. Genton and Ying Sun
- A double fixed rank kriging approach to spatial regression models with covariate measurement error
- Xu Ning, Francis K. C. Hui and Alan H. Welsh
- An illustration of model agnostic explainability methods applied to environmental data
- Christopher K. Wikle, Abhirup Datta, Bhava Vyasa Hari, Edward L. Boone, Indranil Sahoo, Indulekha Kavila, Stefano Castruccio, Susan J. Simmons, Wesley S. Burr and Won Chang
- The scope of the Kalman filter for spatio‐temporal applications in environmental science
- Jonathan Rougier, Aoibheann Brady, Jonathan Bamber, Stephen Chuter, Sam Royston, Bramha Dutt Vishwakarma, Richard Westaway and Yann Ziegler
- REDS: Random ensemble deep spatial prediction
- Ranadeep Daw and Christopher K. Wikle
- Data science applied to environmental sciences
- Paulo Canas Rodrigues and Elisabetta Carfagna
- Environmental data science: Part 1
- Andrew Zammit‐Mangion, Nathaniel K. Newlands and Wesley S. Burr
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