The project applies machine learning and web (or desktop) mapping to predict and visualise the effectiveness of using biological records such as from GBIF (Global Biodiversity Information Facility) and the NBN (National Biodiversity Network) to predict the geographical (spatial) distribution of environmental features, such as scenicness and habitat. Data on scenicness for the UK can be obtained from the Scenic or Not website. Habitat data for the UK can be obtained from the Centre for Ecology and Hydrology. The machine learning methods could include deep learning with transformer methods, as well as classical machine learning techniques such as SVM or random forest for purposes of comparison. The project requires use of Python libraries for machine learning and mapping.