Environmetrics

Papers
(The TQCC of Environmetrics is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
A self‐exciting marked point process model for drought analysis50
Discussion on “A combined estimate of global temperature”16
Practical strategies for generalized extreme value‐based regression models for extremes16
Rejoinder to the discussion on “A combined estimate of global temperature”14
Nonlinear prediction of functional time series12
Regression methods for the appearances of extremes in climate data10
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Bayesian multiple changepoint detection with missing data and its application to the magnitude‐frequency distributions9
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Bayesian estimation of heterogeneous environments from animal movement data7
Spatial regression modeling via the R2D2 framework7
A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown7
Issue Information7
Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto7
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms7
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach7
Estimating atmospheric motion winds from satellite image data using space‐time drift models6
Estimation of change with partially overlapping and spatially balanced samples6
Bayesian spatio‐temporal survival analysis for all types of censoring with application to a wildlife disease study6
Novel application of a process convolution approach for calibrating output from numerical models6
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On the identifiability of the trinomial model for mark‐recapture‐recovery studies6
Modeling the duration and size of wildfires using joint mixture models5
Issue Information5
Assessing the ability of adaptive designs to capture trends in hard coral cover5
Scanner: Simultaneously temporal trend and spatial cluster detection for spatial‐temporal data5
Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment5
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Using an autonomous underwater vehicle with onboard stochastic advection‐diffusion models to map excursion sets of environmental variables5
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters5
Catalysing virtual collaboration: The experience of the remote TIES working groups5
Scalable multiple changepoint detection for functional data sequences5
A Dirichlet process model for change‐point detection with multivariate bioclimatic data4
Modeling cycles and interdependence in irregularly sampled geophysical time series4
A parametric model for distributions with flexible behaviour in both tails4
New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models4
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 inlabru4
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models4
Multidimensional Spatiotemporal Clustering – An Application to Environmental Sustainability Scores in Europe4
Issue Information4
A hierarchical Bayesian non‐asymptotic extreme value model for spatial data4
Fuzzy Clustering of Circular Time Series With Applications to Wind Data4
Truncated generalized extreme value distribution‐based ensemble model output statistics model for calibration of wind speed ensemble forecasts4
2023 Editorial Collaborators3
Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO2 Emissions3
Quantile based modeling of diurnal temperature range with the five‐parameter lambda distribution3
Stacking Weights and Model Space Selection in Frequentist Model Averaging for Benchmark Dose Estimation3
Changepoint detection in autocorrelated ordinal categorical time series3
Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables3
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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 models3
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A projection‐based Laplace approximation for spatial latent variable models3
Temporal evolution of the extreme excursions of multivariate k$$ k $$th order Markov processes with application to oceanographic data3
A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data3
Issue Information3
A flexible extended generalized Pareto distribution for tail estimation3
Bayesian functional emulation of CO2 emissions on future climate change scenarios3
Families of complex‐valued covariance models through integration3
A hierarchical constrained density regression model for predicting cluster‐level dose‐response3
A note on statistical tests for homogeneities in multivariate extreme value models for block maxima2
An illustration of model agnostic explainability methods applied to environmental data2
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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 decisions2
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure2
Two years of COVID‐19 pandemic: The Italian experience of Statgroup‐192
Issue Information2
Issue Information2
Locally correlated Poisson sampling2
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data2
Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach2
An evolutionary Monte Carlo method for the analysis of turbidity high‐frequency time series through Markov switching autoregressive models2
2024 Editorial Collaborators2
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression2
Generalized least‐squares in dimension expansion method for nonstationary processes2
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Issue Information2
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Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems2
Issue Information2
Issue Information2
Carbon Tax Versus Renewable Energy Innovation: Theoretical Insights and Empirical Evidence2
Comparing emulation methods for a high‐resolution storm surge model2
Functional zoning of biodiversity profiles2
A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency2
Discussion on “A combined estimate of global temperature”2
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