Noel Cressie

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Distinguished Professor, Director, Centre for Environmental Informatics (CEI)

University of Wollongong

Australia

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About

Noel Cressie is a Distinguished Professor and the Director of the Centre for Environmental Informatics (CEI) at the University of Wollongong, Australia. His research encompasses areas such as spatial statistics, biodiversity modeling, soil-carbon sequestration, and the global carbon cycle. He has contributed to various recent articles addressing issues from volcanic eruption sources to the statistical aspects of the Covid-19 response.

Recent Grants

Grant: Close

Spatio-Temporal Statistical Methods for Producing OCO-2/OCO-3 Level 3 and level 4 Estimates.

Open Date: 2021-01-01

Close Date:

Grant: Open

Securing Antarctica’s Environmental Future

Open Date: 2020-01-01

Close Date: 2027-01-01

Grant: Close

Bayesian Inversion and Computation Applied to Atmospheric Flux Fields

Open Date: 2019-01-01

Close Date: 2022-01-01

Grant: Close

Spatial Statistical Analysis of OCO-2 Data

Open Date: 2018-01-01

Close Date: 2020-01-01

Grant: Close

Spatio- Temporal Small Area Estimation

Open Date: 2017-01-01

Close Date: 2018-01-01

Articles (21)

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2022

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2022

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2022

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2022

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2022

Collaborators (10)

Marine Remaud

University of Amsterdam

NETHERLANDS

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Michael Bertolacci

University in Western Australia

AUSTRALIA

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D. van Wees

University of Amsterdam

NETHERLANDS

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Hirofumi Ohyama

National Institute for Environmental Studies

JAPAN

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Thorsten Warneke

University of Bremen

GERMANY

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RAJESH JANARDANAN ACHARI

National Institute for Environmental Studies

JAPAN

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Melodie A. McGeoch

MONASH UNIVERSITY

AUSTRALIA

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Roisin Commane

Associate Professor

Columbia University

UNITED STATES

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Andrew Zammit Mangion

University of Wollongong

AUSTRALIA

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Voltaire Velazco

Scientific Head, WMO Regional Dobson Calibration Center

Deutscher Wetterdienst

GERMANY

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Noel Cressie

Research Interests

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Recent Grants

Articles (21)

Spatial‐statistical downscaling with uncertainty quantification in biodiversity modelling

Large volcanic eruptions are mostly sourced above mobile basal mantle structures

CQUESST: A dynamical stochastic framework for predicting soil-carbon sequestration

Fisher, Trewin and Cressie’s contribution to the discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al

Spatial-statistical downscaling with uncertainty quantification in biodiversity modelling

Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss

Spatial Bayesian neural networks

Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework.

Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK

Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data

National CO2 budgets (2015-2020) inferred from atmospheric CO2 observations in support of the global stocktake

Earth’s CO2 battle: a view from space

Decisions, decisions, decisions in an uncertain environment

Adapting Statistical Science for a Fast-Changing Climate

Neutral Tropical African CO₂ Exchange Estimated From Aircraft and Satellite Observations

The Robodebt tragedy

Inferring Changes in Arctic Sea Ice through a Spatio-Temporal Logistic Autoregression Fitted to Remote-Sensing Data

From Many to One: Consensus Inference in a MIP

Nonparametric Empirical Bayes Prediction

Correction to: Spatial analysis and visualization of global data on multi-resolution hexagonal grids.

Basis-Function Models in Spatial Statistics

Collaborators (10)

Marine Remaud

Michael Bertolacci

D. van Wees

Hirofumi Ohyama

Thorsten Warneke

RAJESH JANARDANAN ACHARI

Melodie A. McGeoch

Roisin Commane

Andrew Zammit Mangion

Voltaire Velazco

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