Environmetrics

Papers
(The median citation count of Environmetrics is 0. 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 2021-03-01 to 2025-03-01.)
ArticleCitations
A self‐exciting marked point process model for drought analysis35
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms14
Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models14
Practical strategies for generalized extreme value‐based regression models for extremes13
Discussion on “A combined estimate of global temperature”10
Multidimensional Spatiotemporal Clustering – An Application to Environmental Sustainability Scores in Europe7
Regression methods for the appearances of extremes in climate data7
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models7
Assessing the ability of adaptive designs to capture trends in hard coral cover7
Bayesian multiple changepoint detection with missing data and its application to the magnitude‐frequency distributions7
Rejoinder to the discussion on “A combined estimate of global temperature”7
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Bayesian estimation of heterogeneous environments from animal movement data6
Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto6
Spatial regression modeling via the R2D2 framework6
Estimation of change with partially overlapping and spatially balanced samples5
Estimating atmospheric motion winds from satellite image data using space‐time drift models5
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A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown5
On the identifiability of the trinomial model for mark‐recapture‐recovery studies5
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Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment5
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach5
Novel application of a process convolution approach for calibrating output from numerical models5
Bayesian spatio‐temporal survival analysis for all types of censoring with application to a wildlife disease study5
Nonlinear prediction of functional time series5
Catalysing virtual collaboration: The experience of the remote TIES working groups4
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Stacking Weights and Model Space Selection in Frequentist Model Averaging for Benchmark Dose Estimation4
Modeling the duration and size of wildfires using joint mixture models4
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”4
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters4
Scanner: Simultaneously temporal trend and spatial cluster detection for spatial‐temporal data4
Using an autonomous underwater vehicle with onboard stochastic advection‐diffusion models to map excursion sets of environmental variables4
A flexible extended generalized Pareto distribution for tail estimation3
Bayesian functional emulation of CO2 emissions on future climate change scenarios3
Approximation of Bayesian Hawkes process with inlabru3
Quantile based modeling of diurnal temperature range with the five‐parameter lambda distribution3
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Fuzzy Clustering of Circular Time Series With Applications to Wind Data3
A parametric model for distributions with flexible behaviour in both tails3
A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data3
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Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO2 Emissions3
A Dirichlet process model for change‐point detection with multivariate bioclimatic data3
Truncated generalized extreme value distribution‐based ensemble model output statistics model for calibration of wind speed ensemble forecasts3
A hierarchical Bayesian non‐asymptotic extreme value model for spatial data3
A projection‐based Laplace approximation for spatial latent variable models3
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Families of complex‐valued covariance models through integration3
Scalable multiple changepoint detection for functional data sequences3
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 3
Modeling cycles and interdependence in irregularly sampled geophysical time series3
New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models3
Changepoint detection in autocorrelated ordinal categorical time series3
Discussion on “A combined estimate of global temperature”2
Comparing emulation methods for a high‐resolution storm surge model2
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure2
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A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency2
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An evolutionary Monte Carlo method for the analysis of turbidity high‐frequency time series through Markov switching autoregressive models2
Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables2
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Two years of COVID‐19 pandemic: The Italian experience of Statgroup‐192
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data2
An illustration of model agnostic explainability methods applied to environmental data2
Benchmark dose risk analysis with mixed‐factor quantal data in environmental risk assessment2
Locally correlated Poisson sampling2
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Temporal evolution of the extreme excursions of multivariate k$$ k $$th order Markov processes with application to oceanographic data2
A hierarchical constrained density regression model for predicting cluster‐level dose‐response2
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Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach2
Generalized least‐squares in dimension expansion method for nonstationary processes2
A note on statistical tests for homogeneities in multivariate extreme value models for block maxima2
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2023 Editorial Collaborators2
A cyclostationary model for temporal forecasting and simulation of solar global horizontal irradiance1
Fast parameter estimation of generalized extreme value distribution using neural networks1
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Managing air quality: Predicting exceedances of legal limits for PM10 and O3 concentration using machine learning methods1
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression1
Spatial deformation for nonstationary extremal dependence1
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Data science and climate risk analytics1
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Under the mantra: ‘Make use of colorblind friendly graphs’1
Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes1
Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximation1
P‐min‐Stable Regression Models for Time Series With Extreme Values of Limited Range1
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects1
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Functional zoning of biodiversity profiles1
Sampling design methods for making improved lake management decisions1
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Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures1
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Intersection between environmental data science and the R community in Latin America1
Sequential spatially balanced sampling1
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Stable sums to infer high return levels of multivariate rainfall time series1
Bayesian benchmark dose risk assessment with mixed‐factor quantal data1
Pointwise data depth for univariate and multivariate functional outlier detection1
Improving piecewise linear snow density models through hierarchical spatial and orthogonal functional smoothing1
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models” by Bonas et al.1
2024 Editorial Collaborators1
Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems1
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Recursive nearest neighbor co‐kriging models for big multi‐fidelity spatial data sets1
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Estimating functional single index models with compact support1
Spatial matrix completion for spatially misaligned and high‐dimensional air pollution data1
Contamination severity index: An analysis of Bangladesh groundwater arsenic0
Subordinated Gaussian processes for solar irradiance0
Normalization methods for spatio‐temporal analysis of environmental performance: Revisiting the Min–Max method0
A double fixed rank kriging approach to spatial regression models with covariate measurement error0
Uncertainty: Nothing is more certain0
Two‐phase adaptive cluster sampling with circular field plots0
Emulation of greenhouse‐gas sensitivities using variational autoencoders0
Detection of anomalous radioxenon concentrations: A distribution‐free approach0
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A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities0
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Elastic functional changepoint detection of climate impacts from localized sources0
A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures0
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Heterogeneity pursuit for spatial point pattern with application to tree locations: A Bayesian semiparametric recourse0
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Random fields on the hypertorus: Covariance modeling and applications0
Discussion on “A combined estimate of global temperature”0
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Mechanistic spatial models for heavy metal pollution0
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A combined estimate of global temperature0
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Applying sequential adaptive strategies for sampling animal populations: An empirical study0
Multivariate receptor modeling with widely dispersed Lichens as bioindicators of air quality0
Spatiotemporal clustering using Gaussian processes embedded in a mixture model0
An extended PDE‐based statistical spatio‐temporal model that suppresses the Gibbs phenomenon0
Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression0
Bayesian variable selection for high‐dimensional rank data0
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A Multivariate Approach for Modeling Spatio‐Temporal Agrometeorological Variables0
Modeling nonstationary surface‐level ozone extremes through the lens of US air quality standards: A Bayesian hierarchical approach0
Detecting changes in mixed‐sampling rate data sequences0
CO2has significant implications for hourly ambient temperature: Evidence from Hawaii0
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Impact of the mesoscale structure of a bipartite ecological interaction network on its robustness through a probabilistic modeling0
Large‐scale environmental data science with ExaGeoStatR0
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On testing for the equality of autocovariance in time series0
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Modeling the spatial evolution wildfires using random spread process0
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Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data0
Nonparametric estimation of variable productivity Hawkes processes0
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“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”0
2022 Editorial Collaborators0
Testing for galactic cosmic ray warming hypothesis using the notion of block‐exogeneity0
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EM algorithm for generalized Ridge regression with spatial covariates0
Calibrating Satellite Maps With Field Data for Improved Predictions of Forest Biomass0
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Clustering of bivariate satellite time series: A quantile approach0
REDS: Random ensemble deep spatial prediction0
Spatially Explicit Model to Disentangle Effects of Environment on Annual Fish Reproduction0
Generalization of the power‐law rating curve using hydrodynamic theory and Bayesian hierarchical modeling0
Environmental data science: Part 20
Mitigating spatial confounding by explicitly correlating Gaussian random fields0
Stochastic tropical cyclone precipitation field generation0
A Bayesian time series model for reconstructing hydroclimate from multiple proxies0
Record events attribution in climate studies0
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields0
From model selection to maps: A completely design‐based data‐driven inference for mapping forest resources0
How to find the best sampling design: A new measure of spatial balance0
Environmental data science: Part 10
Functional forecasting of dissolved oxygen in high‐frequency vertical lake profiles0
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A Varying Precision Beta Prime Autoregressive Moving Average Model With Application to Water Flow Data0
A Bayesian change point modeling approach to identify local temperature changes related to urbanization0
Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires0
Air pollution estimation under air stagnation—A case study of Beijing0
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Spatial cluster detection with threshold quantile regression0
Statistical analysis of multi‐day solar irradiance using a threshold time series model0
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Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability0
Discussion on “A combined estimate of global temperature”0
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data0
Data science applied to environmental sciences0
Spatio‐temporal downscaling emulator for regional climate models0
Structural equation models for simultaneous modeling of air pollutants0
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Multistage hierarchical capture–recapture models0
Entropy‐Based Assessment of Biodiversity, With Application to Ants' Nests Data0
Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events0
Front Cover Image, Volume 34, Number 1, February 20230
Estimating the spatial distribution of the white shark in the Mediterranean Sea via an integrated species distribution model accounting for physical barriers0
2021 Editorial Collaborators0
Framing data science, analytics and statistics around the digital earth concept0
CO2 emissions and growth: A bivariate bidimensional mean‐variance random effects model0
Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids0
A nonstationary and non‐Gaussian moving average model for solar irradiance0
Bayesian geostatistical modeling for discrete‐valued processes0
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Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross‐sectional resampling0
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Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression0
Recognizing a spatial extreme dependence structure: A deep learning approach0
High dimensional variable selection through group Lasso for multiple function‐on‐function linear regression: A case study in PM10 monitoring0
A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From NASA's GEDI and Landsat Missions0
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada0
Joint species distribution modeling with competition for space0
Assessing predictability of environmental time series with statistical and machine learning models0
On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada0
Scalable spatio‐temporal smoothing via hierarchical sparse Cholesky decomposition0
Achieving spatial balance in environmental surveys under constant inclusion probabilities or inclusion density functions0
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A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution0
Statistical Inference for Natural Resources and Biodiversity0
Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas0
Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data0
Long memory conditional random fields on regular lattices0
The role of data science in environmental digital twins: In praise of the arrows0
Statistical evaluation of a long‐memory process using the generalized entropic value‐at‐risk0
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models0
Reconstruction of past human land use from pollen data and anthropogenic land cover changes0
Similarity network aggregation for the analysis of glacier ecosystems0
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A Bayesian framework for studying climate anomalies and social conflicts0
A flexible and interpretable spatial covariance model for data on graphs0
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