EXPERTISE
Profile
James’ research focuses on the spatio-temporal modelling of surface and groundwater hydrology and geochemistry, with particular emphasis on relationships between land use, climate change and water resources. He is especially interested in issues of scale, complexity and uncertainty in environmental modelling, and in how models can be used to effectively support practical decision making.
James has more than 20 years' experience with GIS and spatial analysis, and he is lead developer of NIVA's "Data Science Toolkit", which is a cloud-based platform for collaborative data analysis and visualisation. He has also led development of the SeaBee data platform, a pipeline for efficient processing of data from aerial drones, including automatic image classification using machine learning.
James has more than 20 years' experience with GIS and spatial analysis, and he is lead developer of NIVA's "Data Science Toolkit", which is a cloud-based platform for collaborative data analysis and visualisation. He has also led development of the SeaBee data platform, a pipeline for efficient processing of data from aerial drones, including automatic image classification using machine learning.