Analysis and Modelling of Space-Time Patterns in Complex Regions

The main objective of the present project is to carry out a basic research, with a strong application part, to investigate complex phenomena and to overcome unsolved methodological problems in space-time patterns characterization. The most fundamental tasks of the project are:

• Development of a new consistent methodology to detect, quantify and characterize clusters in spatio-temporal data based on topological, statistical and functional fractal measures, point process analyses (e.g. K-function and scan statistics) and geostatistical tools.
• The practical part of the research deals with the application of the developed methods for real and simulated space-time environmental data. For instance, landslides and of wildfires with case studies in Switzerland and in Portugal.
• Multidisciplinary  approach: it implies expertise in geoinformatics, spatial statistics and environmental sciences. It will provide a response to the increasing demand for environmental monitoring and management tools (assessment of natural and anthropogenic hazards and risk, sustainable development, retrospective success analysis, etc.).