Williams, Jenny J.
Senior Spatial Analyst
- MA, Geography, San Diego State University, USA, 2005
- BSc, Geography, University of Sheffield, 1999
As the Senior Spatial Analyst I am responsible for the day to day delivery of an efficient and effective Spatial Analysis Service for Kew Science and actively contributing to research. I develop, establish, and pursue appropriate analytical protocols and techniques to support research at Kew. The role is very diverse, each project has different requirements and it is necessary to use many different spatial and software products interchangeably to achieve the desired research outputs. Increased utilization of GIS, remote sensing, modelling and geo spatial analysis at Kew helps to enable the novel exploitation of, access to and the dissemination of key spatial data internally and externally to partners, stakeholders, visitor and users.
I am currently using my extensive spatial analysis skills to focus on species distribution modelling using multiple model types, iterative datasets and a range of downscaled climate models to produce robust defensible products, for the determination and assessment of current and future coffee forests in Ethiopia.
Neigh, C. S. R., Bolton, D. K., Williams, J. J. & Diabate, M. (2014). Evaluating an automated approach for monitoring forest disturbances in the Pacific Northwest from logging, fire and insect outbreaks with Landsat time series data. Forests 5, 3169-3198. doi:10.3390/f5123169 Available online
Neigh, C., Bolton, D., Diabate, M., Williams, J. & Carvalhais, N. (2014). An automated approach to map the history of forest disturbance from insect mortality and harvest with Landsat time-series data. Remote Sensing 6(4): 2782–2808. doi:10.3390/rs6042782 Available online
Williams, J. J., Stow, D. & Brower, L. P. (2007). The influence of forest fragmentation on the location of overwintering monarch butterflies in central Mexico. Journal of the Lepidopterists' Society 61(2):90‐104. Available online