Dr Ruth Weaver

Dr Ruth Weaver

Associate Professor (Senior Lecturer) in Physical Geography

School of Geography, Earth and Environmental Sciences (Faculty of Science & Environment)


In my role as Deputy Head with responsibility for teaching and learning I chair the School’s Teaching and Learning committee. I also Chair the University’s Academic Regulations Sub-Committee and am, therefore, a member of the University’s Teaching and Learning Committee. Separately, I am a member of the University’s Academic Board. In 2012-13 I chaired the project steering group which led to the opening of University Technical College (UTC) Plymouth in September 2013 and am currently the Chair of Governors of UTC Plymouth.  In the spring of 2014 I was a member of the group convened by the A-level Content Advisory Board (ALCAB) to re-draft the A-level Geography syllabus. 


B.A. (Hons) Geography University of Reading 1981

PhD Remote sensing of moorland vegetation University of Durham 1987

Before joining the Unversity at Plymouth I was a post-doctoral fellow at the University of Aberdeen, working on a NERC-funded project examining vegetation succession

Professional membership

Member of:

British Ecological Society

Remote Sensing and Photogrammetry Society

Teaching interests

My teaching responsibilities lie in the fields of landscape ecology, biogeography, biological conservation and remote sensing. I lead a Stage 2 module in Landscape Ecology and a stage 3 module in Biological conservation, contribute to a Stage 3 module in GIS and remote sensing in Earth Sciences and advise undergraduate and postgraduate students undertaking dissertations in these areas. I contribute to a variety of field courses and modules on geographical methods, including quantitative techniques.



Research interests

My main interests are in:

• developing methodologies to identify, describe and account for spatial pattern in vegetation, particularly in areas of rapid change between plant communities or ecosystems.

• determining the extent to which information on such pattern can be extracted from remotely sensed data