Mikhail Kanevski

Prof. Mikhail Kanevski
Institute of Earth Surface Dynamics
Faculté des géosciences et de l'environnement
Université de Lausanne
Géopolis - quartier Mouline
CH-1015 Dorigny

Phone: +41 (0) 21 692 35 31
Phone2: +41 (0) 21 692 35 00
Fax: +41 (0) 21 692 35 05
E-mail: mikhail.kanevski(at)unil.ch
URL Institution: www.unil.ch/gse

Key Publications of Mikhail Kanevski (up to ten) :

  1. Kanevski M. and Maignan M. Analysis and modelling of spatial environmental data. EPFL Press. 288 p., 2004.
  2. M. Kanevski. Spatial Predictions of Soil Contamination Using General Regression Neural Networks. Systems Research and Information Systems, Volume 8, number 4. pp.241-256. 1999.
  3. Kanevski M., Pozdnukhov A., Maignan M., Canu S. Advanced Spatial Data Analysis and Modelling with Support Vector Machines. Int. Journal of Fuzzy Systems, pp. 606-615, 2002.
  4. Kanevski M. et al. Advanced Geostatistical and Machine-Learning Models for Spatial Data Analysis of Radioactively Contaminated Regions. Environmental Sciences and Pollution Research. pp. 137-149, 2003.
  5. Kanevski M., Pozdnoukhov A., Timonin V. Machine Learning for Spatial Environmental Data. Theory, Applications and Software. EPFL Press, Lausanne, 2009.

Expertise of Mikhail Kanevski:
Expertise CategorySpecific Expertise
Expert TypeScientific / Fundamental Research
Topic AtmosphereClimate
Global Warming
Air Pollution
Topic HydrospherePrecipitation / Runoff
Water Pollution / Waste Water
Topic PedosphereSoil Pollution and Restauration
Topic Economy/ResourceUseEnergy
Topic SocietyPopulation Dynamics / Migration / Urbanisation
Topic SustainabilityEcological Sustainability
Economic Sustainability
Spatial ZonesMountain / Highland
Spatial ScaleContinental
National / Cultural
Local / Community
Statistical FocusExtreme Events
Mean Change / Trends
Time ScaleSeasonal / Annual
MethodsData Analysis
Integrated Assessment
GeoForum Geo-TechnologyCartography
GeoForum Environmental-TechnologySpatial Planning

Specialties of Mikhail Kanevski:
• spatial statistics • environmental data mining • environmental modelling • natural hazards
• socio-economic data mining

Last update: 4/10/17
Source of data: ProClim- Research InfoSystem (1993-2018)

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