SPECIALISATION / RESEARCH INTERESTS
- Data science, machine learning, merging of data from various data sources;
- Sampling methods, area, list and multiple frames sample designs; use of administrative data for generating statistics.
- Adaptive sampling, design of experiments, and other statistical methods for continuous innovation, quality control and impact evaluation;
- Use of remote sensing, geographic information systems and global positioning systems for agricultural, rural and agri-environmental statistics. Agro-meteorological yield forecasting models. Rural buildings and land use analysis and planning.
- Analysis and use of geographic and geo-referenced information, impact of spatial resolution, change of support and transformations of spatial data, spatial statistics.
