Professor Bob Haining, MA MSc PhD FAcSS FRGS

Emeritus Professor of Human Geography and Fellow of Fitzwilliam College

Methodologies for spatial data analysis with applications in health services research and the geography of crime.

Biography

Career

• 1974-1976: Lecturer, Queen’s University Belfast
• 1977-2000: University of Sheffield (Personal Chair awarded 1993; Head of Department 1994-97)
• 2000-2016: Department of Geography, University of Cambridge.
  • 2002-2007 Head of Department
• 2016– Emeritus Professor of Human Geography, Department of Geography, University of Cambridge

Qualifications

• MA University of Cambridge
• MSc Northwestern University, USA
• PhD Northwestern University, USA

Research

Bayesian modelling of small area spatial and spatial temporal data:

• Modelling spatial and spatial-temporal data using Bayesian methods.
• Achieving statistical precision when working with small area data (Spatial precision and statistical precision: having the best of both worlds)

Geographical criminology:

• Evaluating crime reduction programmes: weighing-up the balance sheet
• Using remotely sensed data to model offence geographies

Publications

[Publications will load automatically from the University’s publication database…]

External

Short Courses (recent)

• ‘Spatial and Spatial-Temporal Data Analysis using Bayesian Hierarchical Models.’ ESRC-funded 3-day short course in association with the Social Science Research Methods Centre (with G.Li and G.Amable). Cambridge, 2015-2016.
• ‘Spatial data analysis.’ University of Central Karnataka, India. November 2015.
• ‘Spatial data analysis.’ Wuhan University, China. October 2015 and October 2017.
• ‘Spatial data analysis with spatial econometrics’. IPSA-USP Summer School, Sao Paulo, Brazil. Feb 2015.
• ‘Spatial data analysis’ KTH, Stockholm, Sweden. April 2017.
• ‘An introduction to spatial statistics for human geographers and earth scientists’ Central University of Tamil Nadu. May 2022 (via Zoom)

Journal activities (current)

• Associate Editor: Spatial and Spatio-Temporal Epidemiology