Talk Keyword Index

TALK KEYWORD INDEX

This page contains an index consisting of author-provided keywords.

Shortcuts: A B C D E F G H I J K L M N O P Q R S T U V W

A
adaptive sampling	The role of data science in environmental digital twins: In praise of the arrows
aerated pond	Automation of the machine for biological treatment of urban sewage water
Africa	A spatio-temporal statistical downscaling model for combining spatially misaligned maximum temperature data using R-INLA
Air pollution	Assessing Pollution Risk Using Asymmetric GARCH Models and Dynamic Correlation
air quality	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
amplitude and phase variation	A study of snow water equivalent in the Sierra Nevada of California, using snow pillow data
Arctic Region	The Statistical Relationship between CO2 Concentrations and Hourly Temperature: Evidence from Alaska
aridity
Asymmetric heteroskedastic model	Assessing Pollution Risk Using Asymmetric GARCH Models and Dynamic Correlation
atlas	The Atlas of Kanyen’kehá:ka Space: Indigenous-Non-Indigenous Collaboration for Place Name Preservation
atmospheric hazardous scenarios	Understanding the response of power grids under weather/climate-related attacks
atmospheric transport	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
AUV	Estimation of metabolism in Lake Superior using autonomous underwater vehicle data
B
Back-fitting	Multi-scale Geographically Weighted Quantile Regression
Bayesian	Change-point detection in Carbon Dioxide Emission in Nigeria Using A Bayesian Hypothesis Testing Approach A Bayesian framework for studying climate anomalies and social conflicts
Bayesian Forecasting
Bayesian hierarchical	Making more with continuous forest inventory data: toward a scalable, dynamical model of forest change
Bayesian hierarchical model	Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework
Bayesian hierarchical models	Spatial dissimilarity models with application to antarctic species turnover analysis
Bayesian inference	Spatially coupled hidden Markov models for short-term wind speed forecasting
Bayesian modelling	A Bayesian geo-statistical model for the impacts of climate on children malnutrition in Egypt
biodiversity	Functional design based estimation of diversity profiles Assessing forest understorey vegetation responses to nitrogen deposition in Canadian forest ecosystems
Biodiversity digital twin	Constructing a plant biodiversity digital twin
biological treatment	Automation of the machine for biological treatment of urban sewage water
biomass	Multi-objective optimization of bioenergy regional hubs under different demand and supply scenarios
boundary-layer flow	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
braided river	Transport and deposition of microplastic particles in a braided river: Hydro-morphodynamical numerical model using the software Delft3D.
bridging barriers	Systems Thinking to Break Down Barriers for Actionable Science and Technology
C
California	A study of snow water equivalent in the Sierra Nevada of California, using snow pillow data
carbon cycle	Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework
Carbon dioxide	Change-point detection in Carbon Dioxide Emission in Nigeria Using A Bayesian Hypothesis Testing Approach
carbon monoxide	Statistical analysis of carbon monoxide emissions during the pandemic in three different municipalities
Catchments	Forth-ERA: Addressing the challenges of the climate emergency through a catchment scale digital observatory
change points	Assessing forest understorey vegetation responses to nitrogen deposition in Canadian forest ecosystems
change-point	Estimating empirical critical loads of atmospheric nitrogen deposition: A comparison of statistical approaches
Change-point analysis	On multiple change-point analysis and its use in assessing environmental pollution
Change-points	Estimation and Testing In Ornstein-Uhlenbeck Processes With Change-Points
changepoint detection	A changepoint-based approach to modelling soil moisture dynamics and identifying soil signatures
chlorophyll	Comparing approaches for water quality prediction in rivers from satellite data, with an application to India’s Ramganga river
climate	Multi-scale Geographically Weighted Quantile Regression
Climate change	Spatial multivariate trends of floods in Canada A Bayesian geo-statistical model for the impacts of climate on children malnutrition in Egypt The Statistical Relationship between CO2 Concentrations and Hourly Temperature: Evidence from Alaska Constructing a plant biodiversity digital twin Predicting multi-crop land suitability in Canada under climate change Making more with continuous forest inventory data: toward a scalable, dynamical model of forest change
Climate change impacts	Projection of Future (2050) Forest Degradation under Climate Change in Central and Eastern Ontario, Canada
Climate indices
Climate Lasso	Sparse Estimation of Multi Way Dependence In High Dimensional Spatio-Temporal Climate Data
Clyde River	Knowledge co-production and mobilization, Clyde River, Nunavut,
CO2 Concentrations	The Statistical Relationship between CO2 Concentrations and Hourly Temperature: Evidence from Alaska
community	Environmental Data Science Book: A Computational Notebook Community for Open Environmental Science
Complex network	A network analysis approach to evaluating COVID-19 vaccine acceptance in the US
complex systems	The role of data science in environmental digital twins: In praise of the arrows
Confidence bands for convex curves	Functional design based estimation of diversity profiles
Conjugate Prior	On the Bayesian Modeling of Suspended Solids in Oyo State Reservoirs
Contrastive Learning	Towards Automated Tracking of Wildfires and Smoke Plumes Across Multi-Sensor Scenes
Control: Index of Dispersion	Pollution Load Estimation with Application to Water Quality Assessment and Control
Convolutional neural network (CNN)	Efficient Large-scale Nonstationary Spatial Covariance Function Estimation using Convolutional Neural Networks
Copula	Spatial multivariate trends of floods in Canada
Coregionalization model	A spatio-temporal statistical downscaling model for combining spatially misaligned maximum temperature data using R-INLA
Covariance	Sparse Estimation of Multi Way Dependence In High Dimensional Spatio-Temporal Climate Data
COVID-19 vaccine acceptance	A network analysis approach to evaluating COVID-19 vaccine acceptance in the US
Credible Interval	On the Bayesian Modeling of Suspended Solids in Oyo State Reservoirs
critical loads	Assessing forest understorey vegetation responses to nitrogen deposition in Canadian forest ecosystems
crop yield prediction	Predicting multi-crop land suitability in Canada under climate change
Crop yields	Integration of multi-source within-season datasets for improving crop yield prediction using machine learning and deep learning approaches
D
Data driven	Integration of multi-source within-season datasets for improving crop yield prediction using machine learning and deep learning approaches
data fusion	Environmental data evolution and revolution- what can we achieve?
Data streams	Environmental data evolution and revolution- what can we achieve?
decision support	Forecasting corn yield for nitrogen management in southern Ontario: evaluating machine learning and mechanistic models.
Deep learning	Integration of multi-source within-season datasets for improving crop yield prediction using machine learning and deep learning approaches
Delft3D numerical model	Transport and deposition of microplastic particles in a braided river: Hydro-morphodynamical numerical model using the software Delft3D.
DHS
Digital Observatories	Forth-ERA: Addressing the challenges of the climate emergency through a catchment scale digital observatory
Digital Twins	Forth-ERA: Addressing the challenges of the climate emergency through a catchment scale digital observatory The role of data science in environmental digital twins: In praise of the arrows
dikameg	The Bim’mazh Project: Dikameg (Lake Whitefish), Technology and Saugeen Ojibway Nation Ecological Knowledge
Diversity profile	Functional design based estimation of diversity profiles
Dynamic conditional correlation	Assessing Pollution Risk Using Asymmetric GARCH Models and Dynamic Correlation
Dynamic Generalized Linear Models
E
Ecological modelling	Constructing a plant biodiversity digital twin
Emission	Change-point detection in Carbon Dioxide Emission in Nigeria Using A Bayesian Hypothesis Testing Approach
Energy Balance Models	Towards reliable projections of global mean surface temperature
environment	Comparing two approaches for evaluating the performance of single imputation methods for missing values in univariate water level data
environmental data science	Enhancing machine learning models for spatiotemporal predictions of environmental factors The role of data science in environmental digital twins: In praise of the arrows
environmental digital twins	Environmental data evolution and revolution- what can we achieve?
environmental modelling	The role of data science in environmental digital twins: In praise of the arrows
environmental pollution	On multiple change-point analysis and its use in assessing environmental pollution
environmental research	Environmental Data Science Book: A Computational Notebook Community for Open Environmental Science
environmental statistics	Spatially coupled hidden Markov models for short-term wind speed forecasting
Epilimnion	Estimation of metabolism in Lake Superior using autonomous underwater vehicle data
estimation	Sparse Estimation of Multi Way Dependence In High Dimensional Spatio-Temporal Climate Data
Eutrophication	Metabolic Patterns and Drivers in Lake Erie's Western Basin: Insights from Continuous Limnological and Environmental Data
Extreme events
F
filtering	Filtering ionospheric parameters to detect long-term trends
Fire Lifetime	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
Fisheries	Modeling of Blue Crab Population Dynamics in the Chesapeake Bay: A State-Space Approach
fixed rank kriging	Comparing approaches for water quality prediction in rivers from satellite data, with an application to India’s Ramganga river
Floods	Spatial multivariate trends of floods in Canada
flux inversion	Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework
forecasting	Spatially coupled hidden Markov models for short-term wind speed forecasting
Forest degradation indicators	Projection of Future (2050) Forest Degradation under Climate Change in Central and Eastern Ontario, Canada
forest demography	Making more with continuous forest inventory data: toward a scalable, dynamical model of forest change
Forest disturbance and degradation	Projection of Future (2050) Forest Degradation under Climate Change in Central and Eastern Ontario, Canada
forward stepwise	A land-use regression analysis of tropospheric ozone in Ireland
Functional autoregressive model
functional data analysis	Functional design based estimation of diversity profiles A study of snow water equivalent in the Sierra Nevada of California, using snow pillow data Exploring changes in seasonal patterns of environmental time series
Functional design-based estimation	Functional design based estimation of diversity profiles
Functional principal component
Functional time series analysis
G
Gaussian process	A spatio-temporal statistical downscaling model for combining spatially misaligned maximum temperature data using R-INLA
Generalized Poisson regression	Spatio-temporal Modeling of Fish Stocks in the Presence of Extreme Values
Geographically Weighted Regression	Multi-scale Geographically Weighted Quantile Regression
Geostatistics	Machine Learning in Model-Based Geostatistics
GIS	Knowledge co-production and mobilization, Clyde River, Nunavut,
Global Mean Surface Temperature	Towards reliable projections of global mean surface temperature
global trade	A Bayesian framework for studying climate anomalies and social conflicts
grassland	Estimating empirical critical loads of atmospheric nitrogen deposition: A comparison of statistical approaches
Gulf of St-Lawrence cod stocks	Spatio-temporal Modeling of Fish Stocks in the Presence of Extreme Values
H
Habitat	Modeling of Blue Crab Population Dynamics in the Chesapeake Bay: A State-Space Approach
High performance computing (HPC)	Efficient Large-scale Nonstationary Spatial Covariance Function Estimation using Convolutional Neural Networks
Hourly Temperature	The Statistical Relationship between CO2 Concentrations and Hourly Temperature: Evidence from Alaska
hydro-morphodynamical model	Transport and deposition of microplastic particles in a braided river: Hydro-morphodynamical numerical model using the software Delft3D.
Hydroclimatic extremes	Forth-ERA: Addressing the challenges of the climate emergency through a catchment scale digital observatory
Hydrology	Some hydrological differences between rubber growing soils and forest soils: a statistical study
I
imputation	Building and Testing Interpolators for Scientific Time Series Data
indigenous science	Systems Thinking to Break Down Barriers for Actionable Science and Technology
indigenous treaty rights	The Bim’mazh Project: Dikameg (Lake Whitefish), Technology and Saugeen Ojibway Nation Ecological Knowledge
indigenous ways of knowing	The Atlas of Kanyen’kehá:ka Space: Indigenous-Non-Indigenous Collaboration for Place Name Preservation
INLA	A Bayesian geo-statistical model for the impacts of climate on children malnutrition in Egypt A spatio-temporal statistical downscaling model for combining spatially misaligned maximum temperature data using R-INLA
Instance Tracking	Towards Automated Tracking of Wildfires and Smoke Plumes Across Multi-Sensor Scenes
interpolation	Building and Testing Interpolators for Scientific Time Series Data
ionosphere	Filtering ionospheric parameters to detect long-term trends
J
jupyter notebooks	Environmental Data Science Book: A Computational Notebook Community for Open Environmental Science
K
Kainji water station	Comparing two approaches for evaluating the performance of single imputation methods for missing values in univariate water level data
L
Lake Erie	Metabolic Patterns and Drivers in Lake Erie's Western Basin: Insights from Continuous Limnological and Environmental Data
Lake Huron	The Bim’mazh Project: Dikameg (Lake Whitefish), Technology and Saugeen Ojibway Nation Ecological Knowledge
Lake metabolism	Estimation of metabolism in Lake Superior using autonomous underwater vehicle data
Lake Superior	Estimation of metabolism in Lake Superior using autonomous underwater vehicle data
land suitability	Predicting multi-crop land suitability in Canada under climate change
LandTrendr	Projection of Future (2050) Forest Degradation under Climate Change in Central and Eastern Ontario, Canada
Large abundances	Spatio-temporal Modeling of Fish Stocks in the Presence of Extreme Values
Latent spatio-temporal Gaussian process	Spatio-temporal Modeling of Fish Stocks in the Presence of Extreme Values
Load	Pollution Load Estimation with Application to Water Quality Assessment and Control
lockdown	Statistical analysis of carbon monoxide emissions during the pandemic in three different municipalities
Lognormal	Use of Lognormal Distribution in Assessing the Concentration of a Polluted Water Sample
long-term trends	Filtering ionospheric parameters to detect long-term trends
LULC changes	Some hydrological differences between rubber growing soils and forest soils: a statistical study
M
Machine learning	Enhancing machine learning models for spatiotemporal predictions of environmental factors Integration of multi-source within-season datasets for improving crop yield prediction using machine learning and deep learning approaches
Machine-learning	Machine Learning in Model-Based Geostatistics
Malnutrition	A Bayesian geo-statistical model for the impacts of climate on children malnutrition in Egypt
Markov chain Monte Carlo	Spatial dissimilarity models with application to antarctic species turnover analysis
mathematical model	Automation of the machine for biological treatment of urban sewage water
Metabolism	Metabolic Patterns and Drivers in Lake Erie's Western Basin: Insights from Continuous Limnological and Environmental Data
microplastic pollution	Transport and deposition of microplastic particles in a braided river: Hydro-morphodynamical numerical model using the software Delft3D.
microplastics	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
MILP	Multi-objective optimization of bioenergy regional hubs under different demand and supply scenarios
missing data	Comparing two approaches for evaluating the performance of single imputation methods for missing values in univariate water level data
MLR model	Projection of Future (2050) Forest Degradation under Climate Change in Central and Eastern Ontario, Canada
model	A land-use regression analysis of tropospheric ozone in Ireland
multi-layer perceptron	Predicting multi-crop land suitability in Canada under climate change
Multi-level geostatistical model	A Bayesian geo-statistical model for the impacts of climate on children malnutrition in Egypt
Multiscale Geographically Weighted Regression	Multi-scale Geographically Weighted Quantile Regression
multivariate and functional data	On multiple change-point analysis and its use in assessing environmental pollution
Multivariate trends	Spatial multivariate trends of floods in Canada
N
NDVI
Network community detection	A network analysis approach to evaluating COVID-19 vaccine acceptance in the US
Nigeria	Change-point detection in Carbon Dioxide Emission in Nigeria Using A Bayesian Hypothesis Testing Approach
nitrogen deposition	Assessing forest understorey vegetation responses to nitrogen deposition in Canadian forest ecosystems
Nonlinearity	Machine Learning in Model-Based Geostatistics
Nonstationary Matern Covariance estimation	Efficient Large-scale Nonstationary Spatial Covariance Function Estimation using Convolutional Neural Networks
Normal Distribution	On the Bayesian Modeling of Suspended Solids in Oyo State Reservoirs
nutrient management	Forecasting corn yield for nitrogen management in southern Ontario: evaluating machine learning and mechanistic models.
O
oak woodlands	Estimating empirical critical loads of atmospheric nitrogen deposition: A comparison of statistical approaches
Ontario forests	Projection of Future (2050) Forest Degradation under Climate Change in Central and Eastern Ontario, Canada
open science	Environmental Data Science Book: A Computational Notebook Community for Open Environmental Science
open-source software	Environmental Data Science Book: A Computational Notebook Community for Open Environmental Science
Ornstein-Uhlenbeck	Estimation and Testing In Ornstein-Uhlenbeck Processes With Change-Points
P
PCMCIplus
PELT	A changepoint-based approach to modelling soil moisture dynamics and identifying soil signatures
place name	The Atlas of Kanyen’kehá:ka Space: Indigenous-Non-Indigenous Collaboration for Place Name Preservation
Plant biodiversity	Constructing a plant biodiversity digital twin
plant species abundance	Estimating empirical critical loads of atmospheric nitrogen deposition: A comparison of statistical approaches
pollutants	Forth-ERA: Addressing the challenges of the climate emergency through a catchment scale digital observatory
Pollution	Pollution Load Estimation with Application to Water Quality Assessment and Control Use of Lognormal Distribution in Assessing the Concentration of a Polluted Water Sample A land-use regression analysis of tropospheric ozone in Ireland
Population dynamics	Modeling of Blue Crab Population Dynamics in the Chesapeake Bay: A State-Space Approach
Posterior Distribution	On the Bayesian Modeling of Suspended Solids in Oyo State Reservoirs
power grid	Understanding the response of power grids under weather/climate-related attacks
precipitation	State Space Models for Semi-Continuous Precipitation Data
Prediction	Integration of multi-source within-season datasets for improving crop yield prediction using machine learning and deep learning approaches
Probability propagation
Q
Quantile Regression	Multi-scale Geographically Weighted Quantile Regression
R
R2	A land-use regression analysis of tropospheric ozone in Ireland
Regional climate model	A spatio-temporal statistical downscaling model for combining spatially misaligned maximum temperature data using R-INLA
remote sensing	Forecasting corn yield for nitrogen management in southern Ontario: evaluating machine learning and mechanistic models. Predicting multi-crop land suitability in Canada under climate change
river plastic pollution	Transport and deposition of microplastic particles in a braided river: Hydro-morphodynamical numerical model using the software Delft3D.
rivers	Comparing approaches for water quality prediction in rivers from satellite data, with an application to India’s Ramganga river
S
seasonal	Exploring changes in seasonal patterns of environmental time series
seasonality
semi-continuous	State Space Models for Semi-Continuous Precipitation Data
Shrinkage estimators	Estimation and Testing In Ornstein-Uhlenbeck Processes With Change-Points
single imputation	Comparing two approaches for evaluating the performance of single imputation methods for missing values in univariate water level data
size-structured population	Making more with continuous forest inventory data: toward a scalable, dynamical model of forest change
SMART
Snowpack	A study of snow water equivalent in the Sierra Nevada of California, using snow pillow data
social trade	A Bayesian framework for studying climate anomalies and social conflicts
Soil Data	Some hydrological differences between rubber growing soils and forest soils: a statistical study
soil moisture drydown	A changepoint-based approach to modelling soil moisture dynamics and identifying soil signatures
solar activity	Filtering ionospheric parameters to detect long-term trends
Spatial analysis	Spatial multivariate trends of floods in Canada
spatial data	Knowledge co-production and mobilization, Clyde River, Nunavut,
Spatial generalised additive models	Spatial dissimilarity models with application to antarctic species turnover analysis
spatial optimization	Multi-objective optimization of bioenergy regional hubs under different demand and supply scenarios
spatial statistics	Enhancing machine learning models for spatiotemporal predictions of environmental factors
spatio-temporal	A spatio-temporal statistical downscaling model for combining spatially misaligned maximum temperature data using R-INLA Comparing approaches for water quality prediction in rivers from satellite data, with an application to India’s Ramganga river
Spatio-temporal models
spatiotemporal data	Enhancing machine learning models for spatiotemporal predictions of environmental factors
Species distribution models
st-PDE	Comparing approaches for water quality prediction in rivers from satellite data, with an application to India’s Ramganga river
state space	Making more with continuous forest inventory data: toward a scalable, dynamical model of forest change
State Space Models	State Space Models for Semi-Continuous Precipitation Data Towards reliable projections of global mean surface temperature
State-space modeling	Modeling of Blue Crab Population Dynamics in the Chesapeake Bay: A State-Space Approach
statistical analysis	Statistical analysis of carbon monoxide emissions during the pandemic in three different municipalities
Statistical downscaling	A spatio-temporal statistical downscaling model for combining spatially misaligned maximum temperature data using R-INLA
Super-computing	Efficient Large-scale Nonstationary Spatial Covariance Function Estimation using Convolutional Neural Networks
supply-chain	Multi-objective optimization of bioenergy regional hubs under different demand and supply scenarios
Survival Analysis	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
sustainability	Multi-objective optimization of bioenergy regional hubs under different demand and supply scenarios
systems thinking	Systems Thinking to Break Down Barriers for Actionable Science and Technology
T
temperature anomalies	A Bayesian framework for studying climate anomalies and social conflicts
Tensors	Sparse Estimation of Multi Way Dependence In High Dimensional Spatio-Temporal Climate Data
Threshold Indicator Taxa Analysis (TITAN)	Assessing forest understorey vegetation responses to nitrogen deposition in Canadian forest ecosystems
time series	Pollution Load Estimation with Application to Water Quality Assessment and Control Exploring changes in seasonal patterns of environmental time series A changepoint-based approach to modelling soil moisture dynamics and identifying soil signatures State Space Models for Semi-Continuous Precipitation Data Building and Testing Interpolators for Scientific Time Series Data
Time series analysis	The Statistical Relationship between CO2 Concentrations and Hourly Temperature: Evidence from Alaska
Time-Series	Sparse Estimation of Multi Way Dependence In High Dimensional Spatio-Temporal Climate Data
TITAN	Estimating empirical critical loads of atmospheric nitrogen deposition: A comparison of statistical approaches
topological data analysis	Understanding the response of power grids under weather/climate-related attacks
Trawl surveys	Spatio-temporal Modeling of Fish Stocks in the Presence of Extreme Values
U
uncertainty estimation	Enhancing machine learning models for spatiotemporal predictions of environmental factors
univariate	On multiple change-point analysis and its use in assessing environmental pollution
univariate data	Comparing two approaches for evaluating the performance of single imputation methods for missing values in univariate water level data
Unsupervised Machine Learning	Towards Automated Tracking of Wildfires and Smoke Plumes Across Multi-Sensor Scenes
urban wastewater	Automation of the machine for biological treatment of urban sewage water
V
vegetation alliances	Assessing forest understorey vegetation responses to nitrogen deposition in Canadian forest ecosystems
W
wasting
Water	Use of Lognormal Distribution in Assessing the Concentration of a Polluted Water Sample A study of snow water equivalent in the Sierra Nevada of California, using snow pillow data
Wavelet analysis
weathering	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows
whitefish	The Bim’mazh Project: Dikameg (Lake Whitefish), Technology and Saugeen Ojibway Nation Ecological Knowledge
Wildfires	Towards Automated Tracking of Wildfires and Smoke Plumes Across Multi-Sensor Scenes
Wildland Fire	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
wind tunnel	Laboratory Simulation of Microplastic Particle Transport in Atmospheric Boundary-Layer Flows