Our participation at EGU 2018
We actively participated at the European Geoscience Meeting (EGU) 2018, in Vienna.
Session convener:
- Big data and machine learning in geosciences; Convener: MIkhail Kanevski
- Learning from spatial data: unveiling the geo-environment through quantitative approaches; Co-convener: Jean Golay
- Spatial and temporal patterns of wildfires: models, theory, and reality; Co-convener: Marj Tonini
- Spatio-temporal and/or geostatistical analysis of hydrological events, extremes, and related hazards; Co-convener: Mikhail Kanevski
Participation:
- Analysis of high dimensional environmental data using local fractality concept and machine learning;
- Deep Learning for Remote Sensing Scene Classification: A Simple and High-Performance Architecture;
- IDmining: An R Package for Mining Large Datasets with the Morisita Estimator of Intrinsic Dimension;
- Rural Urban Interface scenarios in Portugal based on land cover changes; Marj Tonini, Federico Amato, Mikhail Kanevski, and Beniamino Murgante
- Spatial mapping of the multifractal parameters of wind time series in Switzerland;
- Spatio-temporal cluster analyses of landslides causing damage in Switzerland;
- Spatio-Temporal Variography of Wind Speed in Complex Region;
