BSc (Geography), MSc (Geographical Information Systems), PhD (Geographical Information Systems)

Tel: +44 (0) 1242 714120

Email:  rberry@glos.ac.uk

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Profile

Rob is an experienced GIS specialist and geodata scientist with a strong record of applying geographical information systems (GIS) in a wide range of environmental and social science research areas. His main research interests include the use of 3D landscape visualisation technology and participatory GIS in collaborative environmental management, and the integration of qualitative data and quantitative data in GIS through the development of qualitative (QualGIS)/mixed-methods (MMGIS) applications. Other interests relate to current projects at the CCRI and include measuring and mapping the regional economic resilience of farming in the UK, and developing GIS-based methods for valuing cultural ecosystems services.

Rob has over 15 years’ experience in teaching GIS to undergraduate and postgraduate students from a wide range of subject backgrounds, such as human and physical geography, social sciences, biology, ecology, criminology, landscape architecture and urban planning. Teaching experience includes designing teaching programmes and modules, preparing course materials, managing and marking assessments and participating in administrative activities, as well as delivering lectures and practical sessions. In addition to mainstream university teaching, Rob have also been involved in designing and delivering numerous external short courses, workshops and training events. These have included a wide-range of sessions from introductory GIS for social scientists and non-GIS users to more advanced courses on spatial analysis. Rob has also delivered GIS training abroad, having had the opportunity in 2018 to run a GIS course at the American University in Cairo, Egypt.

Research skills:

  • Geospatial data acquisition, management, analysis, and visualisation.
  • Expert-level use of several GIS software packages including QGIS, ArcGIS, PostgeSQL/PostGIS, IDRISI, MapInfo, GeoDa and Erdas IMAGINE.
  • Data wrangling, data science, spatial analysis, automation, and reproducible research using the R programming language (also experience with Python, VB.NET and VBA programming).
  • Relational database management and SQL.
  • 3D landscape visualisation (Visual Nature Studio, SketchUp).
  • Social science research skills including interviewing (c. 100 research interviews conducted to date), managing and facilitating focus groups and workshops, and some experience of coding of qualitative data (interview transcripts) using Nvivio software.
  • Teaching and student supervision.
  • Tendering and project management.

 

View Rob's publications on the University of Gloucestershire's Research Repository