TIES2023: OBSERVATION MEETS THEORY: BREAKING DOWN BARRIERS BETWEEN STATISTICS AND ENVIRONMENTAL SCIENCE

A
Abdulah, Sameh	Efficient Large-scale Nonstationary Spatial Covariance Function Estimation using Convolutional Neural Networks
Abou-Ali, Hala	A Bayesian geo-statistical model for the impacts of climate on children malnutrition in Egypt
Acheson, Lyndsy	Multi-objective optimization of bioenergy regional hubs under different demand and supply scenarios
Adegoke, Taiwo	On the Bayesian Modeling of Suspended Solids in Oyo State Reservoirs Change-point detection in Carbon Dioxide Emission in Nigeria Using A Bayesian Hypothesis Testing Approach
Aherne, Julian	A land-use regression analysis of tropospheric ozone in Ireland Estimating empirical critical loads of atmospheric nitrogen deposition: A comparison of statistical approaches Assessing forest understorey vegetation responses to nitrogen deposition in Canadian forest ecosystems
Ali, R. Ayesha	Predicting multi-crop land suitability in Canada under climate change
Alvarez Barrantes, Lucrecia	Transport and deposition of microplastic particles in a braided river: Hydro-morphodynamical numerical model using the software Delft3D. Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
B
Baar, Anne	Transport and deposition of microplastic particles in a braided river: Hydro-morphodynamical numerical model using the software Delft3D.
Bagozzi, Benjamin	A Bayesian framework for studying climate anomalies and social conflicts
Benoit, Hughes	Spatio-temporal Modeling of Fish Stocks in the Presence of Extreme Values
Bertolacci, Michael	Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework
Bhullar, Amanjot	Predicting multi-crop land suitability in Canada under climate change
Blair, Gordon	The role of data science in environmental digital twins: In praise of the arrows
Blanco Díaz, Edgar G.	Statistical analysis of carbon monoxide emissions during the pandemic in three different municipalities
Bloomfield, John	Exploring changes in seasonal patterns of environmental time series
Bobbink, Roland	Estimating empirical critical loads of atmospheric nitrogen deposition: A comparison of statistical approaches
Boivin, Ariane	Spatio-temporal Modeling of Fish Stocks in the Presence of Extreme Values
Bukosa, Beata	Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework
Bullard, Joanna	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
Burr, Wesley	Building and Testing Interpolators for Scientific Time Series Data
Byelyanska, Alexandra	Automation of the machine for biological treatment of urban sewage water
C
Cao, Yi	Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework
Caudill, Christy	Systems Thinking to Break Down Barriers for Actionable Science and Technology
Chatterjee, Snigdhansu	A Bayesian framework for studying climate anomalies and social conflicts
Chebana, Fateh	Spatial multivariate trends of floods in Canada
Chenouri, Shoja	On multiple change-point analysis and its use in assessing environmental pollution
Chiu, Grace	Modeling of Blue Crab Population Dynamics in the Chesapeake Bay: A State-Space Approach
Coca-Castro, Alejandro	Environmental Data Science Book: A Computational Notebook Community for Open Environmental Science
Community, Environmental Data Science Book	Environmental Data Science Book: A Computational Notebook Community for Open Environmental Science
Compaore, Julien	Spatio-temporal Modeling of Fish Stocks in the Presence of Extreme Values
Conzon, Julia	Knowledge co-production and mobilization, Clyde River, Nunavut,
Coops, Nicholas	Integration of multi-source within-season datasets for improving crop yield prediction using machine learning and deep learning approaches
Coxon, Gemma	Exploring changes in seasonal patterns of environmental time series
Cressie, Noel	Spatial dissimilarity models with application to antarctic species turnover analysis
Cressie, Noel	Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework
Cribben, Ivor	Sparse Estimation of Multi Way Dependence In High Dimensional Spatio-Temporal Climate Data
Cummins, Donald	Towards reliable projections of global mean surface temperature
Cummins, Thomas	A land-use regression analysis of tropospheric ozone in Ireland
D
Datta, Abhirup	Machine Learning in Model-Based Geostatistics
Davies, Jessica	A changepoint-based approach to modelling soil moisture dynamics and identifying soil signatures
de Haro Barbas, Blas F.	Filtering ionospheric parameters to detect long-term trends
Dean, Charmaine B.	Characterizing and linking two phases of wildland fire lifetimes from the Sioux Lookout District in Ontario by utilizing mixed effects multi-state modelling and joint frailty modelling techniques
Dey, Asim	A network analysis approach to evaluating COVID-19 vaccine acceptance in the US
Di Battista, Tonio	Functional design based estimation of diversity profiles
Dorrell, Robert	Transport and deposition of microplastic particles in a braided river: Hydro-morphodynamical numerical model using the software Delft3D.
Dozier, Jeff	A study of snow water equivalent in the Sierra Nevada of California, using snow pillow data
Duncan, Ruth	The Bim’mazh Project: Dikameg (Lake Whitefish), Technology and Saugeen Ojibway Nation Ecological Knowledge
Duran, Trinidad	Filtering ionospheric parameters to detect long-term trends
E
El-Shaarawi, Abdel	Pollution Load Estimation with Application to Water Quality Assessment and Control
Elayouty, Amira	A Bayesian geo-statistical model for the impacts of climate on children malnutrition in Egypt Multi-scale Geographically Weighted Quantile Regression A spatio-temporal statistical downscaling model for combining spatially misaligned maximum temperature data using R-INLA
Elias, Ana G.	Filtering ionospheric parameters to detect long-term trends
Elkady, Allaa H.	Multi-scale Geographically Weighted Quantile Regression
F
Fernandez, Roberto	Transport and deposition of microplastic particles in a braided river: Hydro-morphodynamical numerical model using the software Delft3D.
Finley, Andrew	Making more with continuous forest inventory data: toward a scalable, dynamical model of forest change
Fisher, Jenny A.	Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework
Fisk, Aaron	Metabolic Patterns and Drivers in Lake Erie's Western Basin: Insights from Continuous Limnological and Environmental Data
Forbes, Kevin	The Statistical Relationship between CO2 Concentrations and Hourly Temperature: Evidence from Alaska
Fortuna, Francesca	Functional design based estimation of diversity profiles
Franklin, Meredith	Enhancing machine learning models for spatiotemporal predictions of environmental factors
Franklin, Meredith	Enhancing machine learning models for spatiotemporal predictions of environmental factors
G
Gattone, Stefano	Functional design based estimation of diversity profiles
Gel, Yulia	Sparse Estimation of Multi Way Dependence In High Dimensional Spatio-Temporal Climate Data Understanding the response of power grids under weather/climate-related attacks
Genton, Marc	Efficient Large-scale Nonstationary Spatial Covariance Function Estimation using Convolutional Neural Networks
Goel, Jaidev	Sparse Estimation of Multi Way Dependence In High Dimensional Spatio-Temporal Climate Data
Gogoi, Jumi	Integration of multi-source within-season datasets for improving crop yield prediction using machine learning and deep learning approaches
Gong, Mengyi	A changepoint-based approach to modelling soil moisture dynamics and identifying soil signatures
Gopaluni, Bhushan	Integration of multi-source within-season datasets for improving crop yield prediction using machine learning and deep learning approaches
Goutali, Dorsaf	Spatial multivariate trends of floods in Canada
Gray, Alison	Comparing two approaches for evaluating the performance of single imputation methods for missing values in univariate water level data
Gunawardana, Panditha	Estimation of metabolism in Lake Superior using autonomous underwater vehicle data
H
Hackney, Christopher	Transport and deposition of microplastic particles in a braided river: Hydro-morphodynamical numerical model using the software Delft3D.
Hari, Bhava V	Some hydrological differences between rubber growing soils and forest soils: a statistical study
Harris, Claire	Constructing a plant biodiversity digital twin
Hawash, Ronia	A Bayesian geo-statistical model for the impacts of climate on children malnutrition in Egypt
Henrys, Peter	The role of data science in environmental digital twins: In praise of the arrows
Hong, Yiping	Efficient Large-scale Nonstationary Spatial Covariance Function Estimation using Convolutional Neural Networks
Hoque, Md Mozammel	Projection of Future (2050) Forest Degradation under Climate Change in Central and Eastern Ontario, Canada
Hunter, Peter	Forth-ERA: Addressing the challenges of the climate emergency through a catchment scale digital observatory
Hyman, A. Challen	Modeling of Blue Crab Population Dynamics in the Chesapeake Bay: A State-Space Approach
I
Ingram, Rebekah	The Atlas of Kanyen’kehá:ka Space: Indigenous-Non-Indigenous Collaboration for Place Name Preservation
Itter, Malcolm	Making more with continuous forest inventory data: toward a scalable, dynamical model of forest change
J
Johnson, Katelynn	Metabolic Patterns and Drivers in Lake Erie's Western Basin: Insights from Continuous Limnological and Environmental Data
K
Kaushik, Aleya	Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework
Kavila, Indulekha	Some hydrological differences between rubber growing soils and forest soils: a statistical study
Kelley, James	Metabolic Patterns and Drivers in Lake Erie's Western Basin: Insights from Continuous Limnological and Environmental Data
Kessels, Henricus	Assessing forest understorey vegetation responses to nitrogen deposition in Canadian forest ecosystems
Killick, Rebecca	A changepoint-based approach to modelling soil moisture dynamics and identifying soil signatures
Krasnikov, Kyrylo	Automation of the machine for biological treatment of urban sewage water
L
LaHaye, Nick	Towards Automated Tracking of Wildfires and Smoke Plumes Across Multi-Sensor Scenes
Leadley, Todd	Metabolic Patterns and Drivers in Lake Erie's Western Basin: Insights from Continuous Limnological and Environmental Data
Lee, David	Multi-objective optimization of bioenergy regional hubs under different demand and supply scenarios
Leeming, Kathryn	Exploring changes in seasonal patterns of environmental time series
Leos Barajas, Vianey	Spatially coupled hidden Markov models for short-term wind speed forecasting
Lipcius, Romuald	Modeling of Blue Crab Population Dynamics in the Chesapeake Bay: A State-Space Approach
M
Masotti, Paola	Assessing Pollution Risk Using Asymmetric GARCH Models and Dynamic Correlation
Maturo, Fabrizio	Functional design based estimation of diversity profiles
McFayden, Colin B.	Characterizing and linking two phases of wildland fire lifetimes from the Sioux Lookout District in Ontario by utilizing mixed effects multi-state modelling and joint frailty modelling techniques
McHugh, Keelan	A land-use regression analysis of tropospheric ozone in Ireland
McKenna Neuman, Cheryl	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
Medina, Franco D.	Filtering ionospheric parameters to detect long-term trends
Meiring, Wendy	A study of snow water equivalent in the Sierra Nevada of California, using snow pillow data
Meiring, Wendy	State Space Models for Semi-Continuous Precipitation Data
Miller, Claire	Comparing approaches for water quality prediction in rivers from satellite data, with an application to India’s Ramganga river
Montoya, Eduardo L.	A study of snow water equivalent in the Sierra Nevada of California, using snow pillow data
Mukherjee, Ujjal	A Bayesian framework for studying climate anomalies and social conflicts
N
Nadeem, Khurram	Predicting multi-crop land suitability in Canada under climate change
Nag, Pratik	Efficient Large-scale Nonstationary Spatial Covariance Function Estimation using Convolutional Neural Networks
Nakonechnyi, Vladislav	Automation of the machine for biological treatment of urban sewage water
Nemeth, Christopher	A changepoint-based approach to modelling soil moisture dynamics and identifying soil signatures
Newlands, Nathaniel	Forecasting corn yield for nitrogen management in southern Ontario: evaluating machine learning and mechanistic models. Integration of multi-source within-season datasets for improving crop yield prediction using machine learning and deep learning approaches Multi-objective optimization of bioenergy regional hubs under different demand and supply scenarios
Nkurunziza, Severien	Estimation and Testing In Ornstein-Uhlenbeck Processes With Change-Points
O
O'Brien, Patrick	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
Obisesan, Olalekan	On the Bayesian Modeling of Suspended Solids in Oyo State Reservoirs Use of Lognormal Distribution in Assessing the Concentration of a Polluted Water Sample
Obisesan, Olalekan	Change-point detection in Carbon Dioxide Emission in Nigeria Using A Bayesian Hypothesis Testing Approach
Ockelford, Annie	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
Ofori-Boateng, Dorcas	Sparse Estimation of Multi Way Dependence In High Dimensional Spatio-Temporal Climate Data Understanding the response of power grids under weather/climate-related attacks
Oladoja, Oladapo	On the Bayesian Modeling of Suspended Solids in Oyo State Reservoirs
Oladoja, Oladapo	Change-point detection in Carbon Dioxide Emission in Nigeria Using A Bayesian Hypothesis Testing Approach
P
Parsons, Daniel	Transport and deposition of microplastic particles in a braided river: Hydro-morphodynamical numerical model using the software Delft3D.
Passamani, Giuliana	Assessing Pollution Risk Using Asymmetric GARCH Models and Dynamic Correlation
Pearce, Nolan	Metabolic Patterns and Drivers in Lake Erie's Western Basin: Insights from Continuous Limnological and Environmental Data Estimation of metabolism in Lake Superior using autonomous underwater vehicle data
Ponce-Hernandez, Raul	Projection of Future (2050) Forest Degradation under Climate Change in Central and Eastern Ontario, Canada
Preston, Colette	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
Q
Qadir, Ghulam	Efficient Large-scale Nonstationary Spatial Covariance Function Estimation using Convolutional Neural Networks
Quinton, John	A changepoint-based approach to modelling soil moisture dynamics and identifying soil signatures
R
Ramankutty, Navin	Integration of multi-source within-season datasets for improving crop yield prediction using machine learning and deep learning approaches
Ramírez Guízar, Susana	Statistical analysis of carbon monoxide emissions during the pandemic in three different municipalities
Ransom, Ryan	The Atlas of Kanyen’kehá:ka Space: Indigenous-Non-Indigenous Collaboration for Place Name Preservation
Ray, Surajit	Comparing approaches for water quality prediction in rivers from satellite data, with an application to India’s Ramganga river
Reeve, Richard	Constructing a plant biodiversity digital twin
Rivest, Louis-Paul	Spatio-temporal Modeling of Fish Stocks in the Presence of Extreme Values
Roach, Paul	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
Roth, Tobias	Estimating empirical critical loads of atmospheric nitrogen deposition: A comparison of statistical approaches
S
Saad, Abdel Nasser	Multi-scale Geographically Weighted Quantile Regression A spatio-temporal statistical downscaling model for combining spatially misaligned maximum temperature data using R-INLA
Sansom, Philip	Towards reliable projections of global mean surface temperature
Schuh, Andrew	Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework
Scott, Marian	Environmental data evolution and revolution- what can we achieve? Comparing approaches for water quality prediction in rivers from satellite data, with an application to India’s Ramganga river
Shawky, Sylvia	A spatio-temporal statistical downscaling model for combining spatially misaligned maximum temperature data using R-INLA
Siegert, Stefan	Towards reliable projections of global mean surface temperature
Stephenson, David	Towards reliable projections of global mean surface temperature
Sulik, John	Forecasting corn yield for nitrogen management in southern Ontario: evaluating machine learning and mechanistic models.
Sun, Ying	Efficient Large-scale Nonstationary Spatial Covariance Function Estimation using Convolutional Neural Networks
T
Torres Martínez, Alfredo	Statistical analysis of carbon monoxide emissions during the pandemic in three different municipalities
Tyler, Andrew	Forth-ERA: Addressing the challenges of the climate emergency through a catchment scale digital observatory
U
Uggenti, Chelsea	Characterizing and linking two phases of wildland fire lifetimes from the Sioux Lookout District in Ontario by utilizing mixed effects multi-state modelling and joint frailty modelling techniques
Umar, Nura	Comparing two approaches for evaluating the performance of single imputation methods for missing values in univariate water level data
W
Watson, Troy	Multi-objective optimization of bioenergy regional hubs under different demand and supply scenarios
Wilkie, Craig	Comparing approaches for water quality prediction in rivers from satellite data, with an application to India’s Ramganga river
Wilkins, Kayla	Estimating empirical critical loads of atmospheric nitrogen deposition: A comparison of statistical approaches Assessing forest understorey vegetation responses to nitrogen deposition in Canadian forest ecosystems
Woolford, Douglas G.	Characterizing and linking two phases of wildland fire lifetimes from the Sioux Lookout District in Ontario by utilizing mixed effects multi-state modelling and joint frailty modelling techniques
X
Xenopoulos, Marguerite	Metabolic Patterns and Drivers in Lake Erie's Western Basin: Insights from Continuous Limnological and Environmental Data Estimation of metabolism in Lake Superior using autonomous underwater vehicle data
Xu, Jiaye	State Space Models for Semi-Continuous Precipitation Data
Y
Yahya, Waheed	Change-point detection in Carbon Dioxide Emission in Nigeria Using A Bayesian Hypothesis Testing Approach
Yin, Xiaozhe	Enhancing machine learning models for spatiotemporal predictions of environmental factors
Z
Zammit-Mangion, Andrew	Spatial dissimilarity models with application to antarctic species turnover analysis
Zammit-Mangion, Andrew	Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework
Zastepa, Arthur	Metabolic Patterns and Drivers in Lake Erie's Western Basin: Insights from Continuous Limnological and Environmental Data
Zaval Díaz, Joanna	Statistical analysis of carbon monoxide emissions during the pandemic in three different municipalities
Zheng, Xiaotian	Spatial dissimilarity models with application to antarctic species turnover analysis
Zheng, Yanchen	Exploring changes in seasonal patterns of environmental time series
Zhou, Zhaoxia	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
Zossi, Bruno S.	Filtering ionospheric parameters to detect long-term trends

Disclaimer | Powered by EasyChair Smart Program