Noel Cressie Explained

Birth Place:Fremantle, Western Australia, Australia
Noel Andrew Cressie
Education:University of Western Australia
Princeton University
Doctoral Advisor:Geoffrey Watson
Academic Advisors:John Tukey
Doctoral Students:Hsin-Cheng Huang
Thesis Title:Testing for Uniformity against a Clustering Alternative
Thesis Url:https://www.worldcat.org/oclc/39101143
Workplaces:Flinders University
Iowa State University
Ohio State University
University of Wollongong
Website:https://www.uow.edu.au/niasra/our-research/centre-for-environmental-informatics/people/dr-noel-cressie/

Noel Andrew Cressie is an Australian and American statistician.[1] He is Distinguished Professor and Director, Centre for Environmental Informatics, at the University of Wollongong in Wollongong (53 miles south of Sydney), Australia.

Education and career

Cressie studied mathematics at University of Western Australia and the US, where obtained his Ph.D. in statistics from Princeton University, advised by Geoffrey S. Watson and taught by both Watson and John W. Tukey. He has spent the majority of his professional life in the US as professor and distinguished professor at both Iowa State University and Ohio State University. Since 2012, he has been professor and distinguished professor at the University of Wollongong, Australia. “A Conversation with Noel Cressie” about statistical science and its evolution in spatial and spatio-temporal statistics was published in 2019.[2]

Research

Cressie's research lies broadly in data science in the area of environmental informatics, emphasizing uncertainty quantification and using tools from the fields of Statistics, Mathematics, Computing, and Visualization. His main area of application in the 2010s and beyond has been in remote sensing of the environment using spatial and spatio-temporal statistical methodology.

Cressie is best known for having brought disparate statistical methodologies in the early 1990s into a nascent discipline known as Spatial Statistics. In his widely cited book, Statistics for Spatial Data,[3] Cressie established a general spatial model that unified statistics for geostatistical data, regular and irregular lattice data, point patterns, and random sets, building on earlier research of his and many others on statistical theory, methodology, and applications for spatial data. Since the 2000s, this methodology has emphasized hierarchical statistical modeling, which was integrated into two subsequent books, Statistics for Spatio-Temporal Data[4] and Spatio-Temporal Statistics with R[5] . It has been applied in areas of ‘big science,’ such as remote sensing of Earth on a global scale,[6] understanding the global carbon cycle and its effect on climate change,[7] Greenland ice-sheet mass balance,[8] and disease mapping.[9]

Over the course of his statistical career, Cressie has authored or coauthored four books and around 300 articles in scholarly journals and edited volumes.[10] The book, Statistics for Spatio-Temporal Data (2011), by Cressie and Christopher K. Wikle, received two awards: the 2011 PROSE Award in the Mathematics category (for PROfessional and Scholarly Excellence, given by the Association of American Publishers), and the 2013 DeGroot Book Prize (awarded every two years by the International Society for Bayesian Analysis). The book, Spatio-Temporal Statistics with R (2019) by Christopher K. Wikle, Andrew Zammit-Mangion, and Cressie received the 2019 Taylor and Francis Award for Outstanding Reference/Monograph in the Science and Medical category.

Honors and awards

Cressie's accomplishments have resulted in a number of awards, including Fellow of the American Statistical Association (ASA),[11] Fellow of the Institute of Mathematical Statistics,[12] Fellow of the Spatial Econometrics Association,[13] and Elected Member of the International Statistical Institute.[14] In 2009, he received one of the highest awards in statistical science, the R.A. Fisher Lectureship, from the Committee of Presidents of Statistical Societies (COPSS). In 2018, Cressie was elected a Fellow of the Australian Academy of Science (FAA)[15] and, in 2020, he was elected a Fellow of the Royal Society of New South Wales (FRSN).[16]

Cressie was awarded the Pitman Medal[17] in 2014 by the Statistical Society of Australia in recognition of his outstanding achievement in, and contribution to, the discipline of Statistics. In 2016, he received the Barnett Award from the Royal Statistical Society for excellence in environmental statistics,[18] and in 2017 he delivered the Georges Matheron Lecture[19] at the International Association for Mathematical Geosciences.

Selected publications

External links

Notes and References

  1. UOW Scholars (https://scholars.uow.edu.au/display/noel_cressie)
  2. Interview of N. Cressie: “A Conversation with Noel Cressie” by Christopher K.Wikle and Jay M. Ver Hoef. Statistical Science 34, 349-359 (2019).
  3. Statistics for Spatial Data, by Noel Cressie. John Wiley, New York, 1991 (900pp.).
  4. Statistics for Spatio-Temporal Data, by Noel Cressie and Christopher K. Wikle. Wiley, Hoboken, NJ, 2011 (588 pp.).
  5. Spatio-Temporal Statistics with R, by Christopher K. Wikle, Andrew Zammit-Mangion, and Noel Cressie. Chapman & Hall/CRC, Boca Raton, FL 2019 (380 pp.).
  6. Interview of Noel Cressie, “Statistics for spatial and spatio-temporal data” (2013). methods.blog, the official blog of Methods in Ecology and Evolution, appears on YouTube. (https://www.youtube.com/watch?v=kCIxA1pkiOM).
  7. Interview of Noel Cressie, “NASA satellite to search for climate change clues” (2014). ABC Radio National’s Drive program with Waleed Aly, Thursday, 3 July 2014. (http://www.abc.net.au/radionational/programs/drive/nasa-satellite-to-search-for-climate-change-clues/5570044).
  8. Box, J.E., Cressie, N., Bromwich, D.H., Jung, J-H., van den Broeke, M., Van Angelen, J.H., Forster, R., Miege, C., Mosley-Thompson, E., Vinther, B., and McConnell, J.R. (2013). Greenland ice sheet mass balance reconstruction. Part I: net snow accumulation (1600-2009). Journal of Climate 25, 3919-3934.
  9. Zhuang, L. and Cressie, N. (2012). Spatio-temporal modeling of sudden infant death syndrome data. Statistical Methodology 9, 117-143.
  10. Research webpage (https://www.uow.edu.au/niasra/our-research/centre-for-environmental-informatics/people/people/#d.en.138780).
  11. Fellows of the American Statistical Association (http://www.amstat.org/awards/fellows.cfm).
  12. Fellows of the Institute of Mathematical Statistics (https://imstat.org/honored-ims-fellows/).
  13. Fellows of the Spatial Econometrics Association (https://www.spatialeconometricsassociation.org/association/).
  14. International Statistics Institute (https://www.isi-web.org/index.php/about-isi/who-is-isi/members/indivual).
  15. Web site: Professor Noel Cressie Australian Academy of Science. 2021-06-10. www.science.org.au.
  16. uowcei. 1375235472843137025. @uowcei congratulates its Director, Distinguished Prof @NoelCressie and JPL Affiliate on election to Fellow of Royal Society of NSW.
  17. Web site: Awards & grants - Statistical Society of Australia.
  18. Barnett Lecture at RSS 2016 (https://www.youtube.com/watch?v=dYtbSSgcx6A&t=111s).
  19. https://www.iamg.org/images/File/documents/Newsletters/NewslettersHSP/NL93lo.pdf Noel Cressie - 2017 Matheron Lecturer

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