Prof Michael Hutchinson

Emeritus Professor of Spatial and Temporal Analysis, Fenner School of Environment and Society

Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
20002022

Research activity per year

Personal profile

Biography

Michael Hutchinson is recognised internationally for his contributions to the theory and practice of spatial and temporal analysis of environmental data. His methods for modelling of climate and terrain, as implemented in the ANUDEM, ANUSPLIN and ANUCLIM computer packages, are widely used to support hydrological and ecological modelling and the assessment of the impacts of climate change. His terrain modelling program ANUDEM has been incorporated into Arc/Info, the World's leading geographic information software system. His Australia-wide terrain and climate models have underpinned much of the natural resource and environmental analysis carried out by Australian Universities and Natural Resource Agencies since the 1980s. He was awarded the International Society for Geormorphometry Lifetime Achievement Award in 2021. He led the development of the ANUClimate Australia-wide climate grids used by the national and international earth system science community.

Qualifications

B.Sc (Hons), M.Sc.,Dip.Comp.Sci, PhD, Sydney University

Research Interests

Major Research Interest:

Development and application of reliable and efficient techniques for the spatial and temporal analysis of environmental data, particularly meteorological and terrain data, for hydrological and ecological applications.

Particular Research Interests:

1. Thin plate smoothing analysis of scattered point data.

2. Topographic dependent spatial interpolation and analysis of monthly, weekly and daily climate.

3. Development and application of computer terrain and drainage models.

4. Development and application of spatially extended, stochastic daily weather models.

5. Stochastic calibration of climate change.

6. Spatial and temporal scale in hydro-ecological modelling.

7. Environmental modelling and geographic information systems.

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