Environmetrics

Article	Citations
A self‐exciting marked point process model for drought analysis	50
Practical strategies for generalized extreme value‐based regression models for extremes	16
Discussion on “A combined estimate of global temperature”	16
Rejoinder to the discussion on “A combined estimate of global temperature”	14
Nonlinear prediction of functional time series	12
Regression methods for the appearances of extremes in climate data	10
Bayesian multiple changepoint detection with missing data and its application to the magnitude‐frequency distributions	9
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A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown	7
Issue Information	7
Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto	7
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms	7
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach	7
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Bayesian estimation of heterogeneous environments from animal movement data	7
Spatial regression modeling via the R2D2 framework	7
Estimating atmospheric motion winds from satellite image data using space‐time drift models	6
Estimation of change with partially overlapping and spatially balanced samples	6
Bayesian spatio‐temporal survival analysis for all types of censoring with application to a wildlife disease study	6
Novel application of a process convolution approach for calibrating output from numerical models	6
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On the identifiability of the trinomial model for mark‐recapture‐recovery studies	6
Issue Information	5

Assessing the ability of adaptive designs to capture trends in hard coral cover	5
Scanner: Simultaneously temporal trend and spatial cluster detection for spatial‐temporal data	5
Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment	5
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Using an autonomous underwater vehicle with onboard stochastic advection‐diffusion models to map excursion sets of environmental variables	5
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters	5
Catalysing virtual collaboration: The experience of the remote TIES working groups	5
Scalable multiple changepoint detection for functional data sequences	5
Modeling the duration and size of wildfires using joint mixture models	5
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	4
Approximation of Bayesian Hawkes process with inlabru	4
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models	4
Multidimensional Spatiotemporal Clustering – An Application to Environmental Sustainability Scores in Europe	4
Issue Information	4
A hierarchical Bayesian non‐asymptotic extreme value model for spatial data	4
Fuzzy Clustering of Circular Time Series With Applications to Wind Data	4
Truncated generalized extreme value distribution‐based ensemble model output statistics model for calibration of wind speed ensemble forecasts	4
A Dirichlet process model for change‐point detection with multivariate bioclimatic data	4
Modeling cycles and interdependence in irregularly sampled geophysical time series	4
A parametric model for distributions with flexible behaviour in both tails	4
New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models	4
Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO2 Emissions	3
Quantile based modeling of diurnal temperature range with the five‐parameter lambda distribution	3
Stacking Weights and Model Space Selection in Frequentist Model Averaging for Benchmark Dose Estimation	3
Changepoint detection in autocorrelated ordinal categorical time series	3
Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables	3
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Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”	3
Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models	3
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A projection‐based Laplace approximation for spatial latent variable models	3
Temporal evolution of the extreme excursions of multivariate k$$ k $$th order Markov processes with application to oceanographic data	3
A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data	3
Issue Information	3
A flexible extended generalized Pareto distribution for tail estimation	3
Bayesian functional emulation of CO2 emissions on future climate change scenarios	3
Families of complex‐valued covariance models through integration	3
A hierarchical constrained density regression model for predicting cluster‐level dose‐response	3
2023 Editorial Collaborators	3
A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency	2
Issue Information	2
Issue Information	2
Locally correlated Poisson sampling	2
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data	2
Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach	2
An evolutionary Monte Carlo method for the analysis of turbidity high‐frequency time series through Markov switching autoregressive models	2
2024 Editorial Collaborators	2
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression	2
Two years of COVID‐19 pandemic: The Italian experience of Statgroup‐19	2
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Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems	2
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Carbon Tax Versus Renewable Energy Innovation: Theoretical Insights and Empirical Evidence	2
Comparing emulation methods for a high‐resolution storm surge model	2
Functional zoning of biodiversity profiles	2
Generalized least‐squares in dimension expansion method for nonstationary processes	2
Issue Information	2
Discussion on “A combined estimate of global temperature”	2
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A note on statistical tests for homogeneities in multivariate extreme value models for block maxima	2
An illustration of model agnostic explainability methods applied to environmental data	2
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Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models” by Bonas et al.	2
Sampling design methods for making improved lake management decisions	2
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure	2
Managing air quality: Predicting exceedances of legal limits for PM10 and O3 concentration using machine learning methods	1
A cyclostationary model for temporal forecasting and simulation of solar global horizontal irradiance	1
Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures	1
Issue Information	1
CO2 emissions and growth: A bivariate bidimensional mean‐variance random effects model	1
Stable sums to infer high return levels of multivariate rainfall time series	1
Testing for galactic cosmic ray warming hypothesis using the notion of block‐exogeneity	1
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Improving piecewise linear snow density models through hierarchical spatial and orthogonal functional smoothing	1
Recursive nearest neighbor co‐kriging models for big multi‐fidelity spatial data sets	1
Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximation	1
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Issue Information	1
Intersection between environmental data science and the R community in Latin America	1
A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures	1
Issue Information	1
Fast parameter estimation of generalized extreme value distribution using neural networks	1
High dimensional variable selection through group Lasso for multiple function‐on‐function linear regression: A case study in PM10 monitoring	1
Bayesian benchmark dose risk assessment with mixed‐factor quantal data	1
Under the mantra: ‘Make use of colorblind friendly graphs’	1
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Data science and climate risk analytics	1
Clustering of bivariate satellite time series: A quantile approach	1
Issue Information	1
Spatial matrix completion for spatially misaligned and high‐dimensional air pollution data	1
A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities	1
Estimating the spatial distribution of the white shark in the Mediterranean Sea via an integrated species distribution model accounting for physical barriers	1
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects	1
Sequential spatially balanced sampling	1
Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes	1
Front Cover Image, Volume 34, Number 1, February 2023	0
Statistical Inference for Natural Resources and Biodiversity	0
Issue Information	0
Stochastic tropical cyclone precipitation field generation	0
On testing for the equality of autocovariance in time series	0
Multistage hierarchical capture–recapture models	0
New estimation methods for extremal bivariate return curves	0
A combined estimate of global temperature	0
Subordinated Gaussian processes for solar irradiance	0
Issue Information	0
Achieving spatial balance in environmental surveys under constant inclusion probabilities or inclusion density functions	0
Bias correction of daily precipitation from climate models, using the Q‐GAM method	0
Framing data science, analytics and statistics around the digital earth concept	0
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices	0
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Effects of Climate Change on House Prices in Outdoor Tourism Destinations: A Case Study of Southwestern Colorado	0
A Bayesian change point modeling approach to identify local temperature changes related to urbanization	0
Bayesian geostatistical modeling for discrete‐valued processes	0
A Bayesian framework for studying climate anomalies and social conflicts	0
A double fixed rank kriging approach to spatial regression models with covariate measurement error	0
New generalized extreme value distribution with applications to extreme temperature data	0
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”	0
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Long memory conditional random fields on regular lattices	0
Assessing predictability of environmental time series with statistical and machine learning models	0
Generalization of the power‐law rating curve using hydrodynamic theory and Bayesian hierarchical modeling	0
Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross‐sectional resampling	0
A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From NASA's GEDI and Landsat Missions	0
Detection of anomalous radioxenon concentrations: A distribution‐free approach	0
Environmental data science: Part 2	0
A nonstationary and non‐Gaussian moving average model for solar irradiance	0
Structural equation models for simultaneous modeling of air pollutants	0

P‐min‐Stable Regression Models for Time Series With Extreme Values of Limited Range	0
Joint species distribution modeling with competition for space	0
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Calibrating Satellite Maps With Field Data for Improved Predictions of Forest Biomass	0
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data	0
Mechanistic spatial models for heavy metal pollution	0
The Effect of the North Atlantic Oscillation on Monthly Precipitation in Selected European Locations: A Non‐Linear Time Series Approach	0
Multivariate receptor modeling with widely dispersed Lichens as bioindicators of air quality	0
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Decisions, decisions, decisions in an uncertain environment	0
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada	0
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Emulation of greenhouse‐gas sensitivities using variational autoencoders	0
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CO2has significant implications for hourly ambient temperature: Evidence from Hawaii	0
How to find the best sampling design: A new measure of spatial balance	0
Recognizing a spatial extreme dependence structure: A deep learning approach	0
Bayesian variable selection for high‐dimensional rank data	0
The scope of the Kalman filter for spatio‐temporal applications in environmental science	0
A Bayesian time series model for reconstructing hydroclimate from multiple proxies	0
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Flood hazard model calibration using multiresolution model output	0
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data	0
Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data	0
Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events	0
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression	0
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models	0
Random fields on the hypertorus: Covariance modeling and applications	0
EM algorithm for generalized Ridge regression with spatial covariates	0
Reconstruction of past human land use from pollen data and anthropogenic land cover changes	0
Mitigating spatial confounding by explicitly correlating Gaussian random fields	0
Modeling the spatial evolution wildfires using random spread process	0
The role of data science in environmental digital twins: In praise of the arrows	0
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Functional forecasting of dissolved oxygen in high‐frequency vertical lake profiles	0
Issue Information	0
Record events attribution in climate studies	0
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Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires	0
Estimating functional single index models with compact support	0
Discussion on “A combined estimate of global temperature”	0
Issue Information	0
Discussion on “A combined estimate of global temperature”	0
Issue Information	0
Entropy‐Based Assessment of Biodiversity, With Application to Ants' Nests Data	0
Nonparametric estimation of variable productivity Hawkes processes	0
2022 Editorial Collaborators	0
Issue Information	0
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields	0
Issue Information	0
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On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada	0
From model selection to maps: A completely design‐based data‐driven inference for mapping forest resources	0
Discussion on “A combined estimate of global temperature”	0
2021 Editorial Collaborators	0
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models	0
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Applying sequential adaptive strategies for sampling animal populations: An empirical study	0
Issue Information	0
An extended PDE‐based statistical spatio‐temporal model that suppresses the Gibbs phenomenon	0
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Two‐phase adaptive cluster sampling with circular field plots	0
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Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data	0
A flexible and interpretable spatial covariance model for data on graphs	0
A vector of point processes for modeling interactions between and within species using capture‐recapture data	0
A Multivariate Approach for Modeling Spatio‐Temporal Agrometeorological Variables	0
Spatio‐temporal downscaling emulator for regional climate models	0
Spatially Explicit Model to Disentangle Effects of Environment on Annual Fish Reproduction	0
Data science applied to environmental sciences	0
Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids	0
Environmental data science: Part 1	0
Scalable spatio‐temporal smoothing via hierarchical sparse Cholesky decomposition	0
Large‐scale environmental data science with ExaGeoStatR	0
Mitigating spatial confounding by explicitly correlating Gaussian random fields	0
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Joint Modeling of Wind Speed and Wind Direction Through a Conditional Approach	0
REDS: Random ensemble deep spatial prediction	0
A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution	0
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Statistical analysis of multi‐day solar irradiance using a threshold time series model	0
Spatial cluster detection with threshold quantile regression	0
Spatiotemporal clustering using Gaussian processes embedded in a mixture model	0
Pointwise data depth for univariate and multivariate functional outlier detection	0
Similarity network aggregation for the analysis of glacier ecosystems	0
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Uncertainty: Nothing is more certain	0
Air pollution estimation under air stagnation—A case study of Beijing	0
Heterogeneity pursuit for spatial point pattern with application to tree locations: A Bayesian semiparametric recourse	0