REPORT AdvancedSVM:rr-00-31/IDIAP Advanced Spatial Data Analysis and Modelling with Support Vector Machines Kanevski, Mikhail Pozdnoukhov, Alexei Canu, Stéphane Maignan, Michel EXTERNAL https://publications.idiap.ch/attachments/reports/2000/rr00-31.pdf PUBLIC Idiap-RR-31-2000 2000 IDIAP The research deals with the novel application of Support Vector Machines (Support Vector Classification and Support Vector Regression) for the analysis and modelling of spatial environmental data. Multiclass classification of soil types and pollution mapping are considered as real case studies. Geostatistical tools (variography) are used to control the performance of the machines.