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Dr Tom Hengl (Senior Researcher at EnvirometriX Ltd with backgrounds in predictive soil mapping, geostatistics, GIS and remote sensing) R developer and an active developer of Machine Learning Algorithms for processing soil and environmental data. Tom has over 20 years of experience in research for mapping and modelling environmental data at regional and global scales, and has published over 60 journal articles and several textbooks in the field of geo-information science, soil mapping and spatial statistics (Google Scholar h-index of 30 with >500 citations per year). He has been elected vice chair of the International Society for Geomorphometry (geomorphometry.org) in the period 2011–2015; he also initiated the GEOSTAT Summer schools (training courses using Open Source Software tools) that has been running for already 12 years at various places from Europe to North America and Australia. Tom's current special interests are developing Machine Learning methods for spatial and spatiotemporal data primarily for the purpose of automated mapping / interpolation.