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Dr Narushige (Naru) Shiode joined the Department of Geography in May 2015 as Reader in Geocomputation and Spatial Analysis. Prior to this, Naru taught at the State University of New York at Buffalo (2003-09), Cardiff University (2009-14), and University of Warwick (2014-15), primarily in the fields of human geography, spatial analysis and geographic information system (GIS), and urban planning.

Naru is trained as an urban planner with a focus on urban and regional analysis. He obtained BEng (1995) and MEng (1997) in Urban Engineering from the University of Tokyo, and a PhD from CASA/Bartlett School of Planning, University College London (2005), where he also held a research position.

Naru currently holds a visiting position with Universities of Tokyo and Warwick.


  • Spatial analysis and modelling
  • GIS science and geo-visualisation
  • Urban and regional analysis
  • Big and open data and neo-geography

Naru has an active interest in the quantitative appreciation of how socio-economic activities unfold within an urban context over space and time. His current research focuses on the development of network-based methods for exploring the dynamics of urban landscape, urban risks and spatial inequality with the aim to improve the safety and welfare within urban environments.

Their applications range from analyses of crime and traffic accidents to those of ageing communities and ethnically diverse communities, many of which are carried out in collaboration with academic and non-academic partners including local governments, police force, consultants and the retail sector.


PhD supervision

Naru welcomes expressions of interest involving new and innovative quantitative methodologies in the fields of spatial analysis and modelling, urban analysis, or GIS and geo-visualisation. Some indicative topics include:

  • Space-time 3D/4D city models in GIS
  • Spatial optimisation and location allocation of urban facilities
  • Space-time concentration of high risks such as traffic accidents and crime hotspots
  • Changes in the spatial composition of ageing communities
  • New methods of spatial interpolation and geo-statistics
  • Infographics and visual representation of big, open data

Further details

See Naru's research profile