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 2021-07-01 to 2025-07-01.)
ArticleCitations
58
A parametric model for distributions with flexible behaviour in both tails20
Modeling cycles and interdependence in irregularly sampled geophysical time series18
Scalable multiple changepoint detection for functional data sequences15
Nonlinear prediction of functional time series13
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms12
A Dirichlet process model for change‐point detection with multivariate bioclimatic data10
Rejoinder to the discussion on “A combined estimate of global temperature”10
9
A self‐exciting marked point process model for drought analysis9
9
Catalysing virtual collaboration: The experience of the remote TIES working groups9
8
An illustration of model agnostic explainability methods applied to environmental data8
2023 Editorial Collaborators8
Clustering of bivariate satellite time series: A quantile approach7
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects7
A projection‐based Laplace approximation for spatial latent variable models7
Issue Information7
Issue Information7
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure7
Issue Information7
Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes7
Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas6
Assessing predictability of environmental time series with statistical and machine learning models6
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models6
Discussion on “A combined estimate of global temperature”6
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data6
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields6
A Bayesian framework for studying climate anomalies and social conflicts6
Uncertainty: Nothing is more certain6
Issue Information5
Discussion on “A combined estimate of global temperature”5
Record events attribution in climate studies5
Structural equation models for simultaneous modeling of air pollutants5
Issue Information5
A double fixed rank kriging approach to spatial regression models with covariate measurement error5
Statistical Inference for Natural Resources and Biodiversity5
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada5
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data5
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression5
5
Emulation of greenhouse‐gas sensitivities using variational autoencoders5
Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires4
REDS: Random ensemble deep spatial prediction4
Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment4
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach4
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression4
Stochastic tropical cyclone precipitation field generation4
Issue Information4
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data4
Issue Information4
Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems4
Assessing the ability of adaptive designs to capture trends in hard coral cover4
CO2has significant implications for hourly ambient temperature: Evidence from Hawaii4
Using an autonomous underwater vehicle with onboard stochastic advection‐diffusion models to map excursion sets of environmental variables4
Estimation of change with partially overlapping and spatially balanced samples4
4
Practical strategies for generalized extreme value‐based regression models for extremes4
Joint species distribution modeling with competition for space3
Environmental data science: Part 13
Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data3
Intersection between environmental data science and the R community in Latin America3
3
The role of data science in environmental digital twins: In praise of the arrows3
Long memory conditional random fields on regular lattices3
Generalization of the power‐law rating curve using hydrodynamic theory and Bayesian hierarchical modeling3
3
Detection of anomalous radioxenon concentrations: A distribution‐free approach3
Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures3
3
Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression3
3
Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross‐sectional resampling3
Framing data science, analytics and statistics around the digital earth concept3
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices3
New generalized extreme value distribution with applications to extreme temperature data3
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data3
Comparing emulation methods for a high‐resolution storm surge model3
The scope of the Kalman filter for spatio‐temporal applications in environmental science3
A combined estimate of global temperature3
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”3
A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data2
2
A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown2
2
Computational Benchmark Study in Spatio‐Temporal Statistics With a Hands‐On Guide to Optimise R2
Families of complex‐valued covariance models through integration2
Does Wind Affect the Orientation of Vegetation Stripes? A Copula‐Based Mixture Model for Axial and Circular Data2
Functional zoning of biodiversity profiles2
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters2
Regression methods for the appearances of extremes in climate data2
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”2
Issue Information2
Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables2
A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency2
Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids2
Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto2
Data science and climate risk analytics2
Approximation of Bayesian Hawkes process with inlabru2
Issue Information2
Issue Information1
On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada1
2021 Editorial Collaborators1
Issue Information1
Pointwise data depth for univariate and multivariate functional outlier detection1
On Tail Structural Change in U.S. Climate Data1
Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes1
How to find the best sampling design: A new measure of spatial balance1
Issue Information1
A nonstationary and non‐Gaussian moving average model for solar irradiance1
1
Issue Information1
Multistage hierarchical capture–recapture models1
Random fields on the hypertorus: Covariance modeling and applications1
Issue Information1
A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities1
Fast parameter estimation of generalized extreme value distribution using neural networks1
Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data1
1
Mitigating spatial confounding by explicitly correlating Gaussian random fields1
A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From NASA's GEDI and Landsat Missions1
Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events1
Issue Information1
Novel Approach for Hierarchical Family Selection of an Ambient Air Pollutant Mixture With Application to Childhood Asthma1
Effects of Climate Change on House Prices in Outdoor Tourism Destinations: A Case Study of Southwestern Colorado1
1
Statistical evaluation of a long‐memory process using the generalized entropic value‐at‐risk1
A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data1
Bayesian benchmark dose risk assessment with mixed‐factor quantal data1
P‐min‐Stable Regression Models for Time Series With Extreme Values of Limited Range1
Front Cover Image, Volume 34, Number 1, February 20231
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models1
Spatial cluster detection with threshold quantile regression1
Issue Information1
Issue Information0
2024 Editorial Collaborators0
From Climate Chat to Climate Shock: Non‐Linear Impacts of Transition Risk in Energy CDS Markets0
Bayesian functional emulation of CO2 emissions on future climate change scenarios0
0
An extended PDE‐based statistical spatio‐temporal model that suppresses the Gibbs phenomenon0
Issue Information0
Impact of the mesoscale structure of a bipartite ecological interaction network on its robustness through a probabilistic modeling0
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models0
CO2 emissions and growth: A bivariate bidimensional mean‐variance random effects model0
Fuzzy Clustering of Circular Time Series With Applications to Wind Data0
A note on statistical tests for homogeneities in multivariate extreme value models for block maxima0
A Varying Precision Beta Prime Autoregressive Moving Average Model With Application to Water Flow Data0
Issue Information0
Bayesian multiple changepoint detection with missing data and its application to the magnitude‐frequency distributions0
Flood hazard model calibration using multiresolution model output0
Entropy‐Based Assessment of Biodiversity, With Application to Ants' Nests Data0
Issue Information0
0
Two years of COVID‐19 pandemic: The Italian experience of Statgroup‐190
Evaluation of ETAS and STEP Forecasting Models for California Seismicity Using Point Process Residuals0
Bias correction of daily precipitation from climate models, using the Q‐GAM method0
Correction to “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”0
Calibrating Satellite Maps With Field Data for Improved Predictions of Forest Biomass0
Under the mantra: ‘Make use of colorblind friendly graphs’0
Contamination severity index: An analysis of Bangladesh groundwater arsenic0
A hierarchical Bayesian non‐asymptotic extreme value model for spatial data0
Issue Information0
Bayesian geostatistical modeling for discrete‐valued processes0
Scalable spatio‐temporal smoothing via hierarchical sparse Cholesky decomposition0
Recursive nearest neighbor co‐kriging models for big multi‐fidelity spatial data sets0
Achieving spatial balance in environmental surveys under constant inclusion probabilities or inclusion density functions0
0
A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution0
Improving piecewise linear snow density models through hierarchical spatial and orthogonal functional smoothing0
Issue Information0
Multivariate receptor modeling with widely dispersed Lichens as bioindicators of air quality0
Two‐phase adaptive cluster sampling with circular field plots0
Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach0
Applying sequential adaptive strategies for sampling animal populations: An empirical study0
Bayesian spatio‐temporal survival analysis for all types of censoring with application to a wildlife disease study0
EM algorithm for generalized Ridge regression with spatial covariates0
A hierarchical constrained density regression model for predicting cluster‐level dose‐response0
Issue Information0
0
0
Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO2 Emissions0
Modeling nonstationary surface‐level ozone extremes through the lens of US air quality standards: A Bayesian hierarchical approach0
Spatial regression modeling via the R2D2 framework0
0
Stacking Weights and Model Space Selection in Frequentist Model Averaging for Benchmark Dose Estimation0
Subordinated Gaussian processes for solar irradiance0
Decisions, decisions, decisions in an uncertain environment0
Discussion on “A combined estimate of global temperature”0
Elastic functional changepoint detection of climate impacts from localized sources0
Spatial matrix completion for spatially misaligned and high‐dimensional air pollution data0
Novel application of a process convolution approach for calibrating output from numerical models0
0
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models” by Bonas et al.0
A cyclostationary model for temporal forecasting and simulation of solar global horizontal irradiance0
Modeling the spatial evolution wildfires using random spread process0
A Bayesian time series model for reconstructing hydroclimate from multiple proxies0
High dimensional variable selection through group Lasso for multiple function‐on‐function linear regression: A case study in PM10 monitoring0
Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximation0
2022 Editorial Collaborators0
0
Issue Information0
0
From model selection to maps: A completely design‐based data‐driven inference for mapping forest resources0
Discussion on “A combined estimate of global temperature”0
A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures0
Spatio‐temporal downscaling emulator for regional climate models0
Detecting changes in mixed‐sampling rate data sequences0
Normalization methods for spatio‐temporal analysis of environmental performance: Revisiting the Min–Max method0
A vector of point processes for modeling interactions between and within species using capture‐recapture data0
On the identifiability of the trinomial model for mark‐recapture‐recovery studies0
Estimating atmospheric motion winds from satellite image data using space‐time drift models0
Nonparametric estimation of variable productivity Hawkes processes0
Simple Yet Effective: A Comparative Study of Statistical Models for Yearly Hurricane Forecasting0
Issue Information0
Statistical analysis of multi‐day solar irradiance using a threshold time series model0
Locally correlated Poisson sampling0
Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability0
0
Managing air quality: Predicting exceedances of legal limits for PM10 and O3 concentration using machine learning methods0
New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models0
Stable sums to infer high return levels of multivariate rainfall time series0
The Effect of the North Atlantic Oscillation on Monthly Precipitation in Selected European Locations: A Non‐Linear Time Series Approach0
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 0
Quantile based modeling of diurnal temperature range with the five‐parameter lambda distribution0
A Bayesian change point modeling approach to identify local temperature changes related to urbanization0
Issue Information0
Scanner: Simultaneously temporal trend and spatial cluster detection for spatial‐temporal data0
Estimation and selection for spatial zero‐inflated count models0
Sampling design methods for making improved lake management decisions0
Estimating the spatial distribution of the white shark in the Mediterranean Sea via an integrated species distribution model accounting for physical barriers0
Data science applied to environmental sciences0
0
Testing for galactic cosmic ray warming hypothesis using the notion of block‐exogeneity0
Estimating functional single index models with compact support0
Stratified, Spatially Balanced Cluster Sampling for Cost‐Efficient Environmental Surveys0
Air pollution estimation under air stagnation—A case study of Beijing0
Issue Information0
Issue Information0
Issue Information0
Sequential spatially balanced sampling0
0
A Multivariate Approach for Modeling Spatio‐Temporal Agrometeorological Variables0
0
Spatially Explicit Model to Disentangle Effects of Environment on Annual Fish Reproduction0
Carbon Tax Versus Renewable Energy Innovation: Theoretical Insights and Empirical Evidence0
Issue Information0
Reconstruction of past human land use from pollen data and anthropogenic land cover changes0
0
New estimation methods for extremal bivariate return curves0
0.036635875701904