Mikhail Kanevski

Prof. Mikhail Kanevski
Institut des dynamiques de la surface terrestre, IDYST
Université de Lausanne
Géopolis
CH-1015 Lausanne
Switzerland


E-mail: mikhail.kanevski(at)unil.ch
URL Institution: www.unil.ch/idyst


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
ScopeProcess Studies
Impact of Change
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
Topic Risk & Disaster ManagementTopic Risk and Disaster Management
Risk Assessment / Forecasting
Prevention of Risks and Natural Hazards
Spatial ZonesMountain / Highland
Urban
Rural
Spatial ScaleContinental
Regional
National / Cultural
Local / Community
Statistical FocusExtreme Events
Mean Change / Trends
Variability
MethodsData Analysis
Modeling
Integrated Assessment

Specialties of Mikhail Kanevski:
  • spatial statistics

  • environmental data mining

  • environmental modelling

  • natural hazards

  • socio-economic data mining


    Last update: 11/26/21
    Source of data: ProClim- Research InfoSystem (1993-2022)

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