Researcher in Spatial Statistics and Environmetrics
Inspired by the time-series ARCH model developed by Robert F. Engle (1982), for which he was awarded the Nobel Prize, we have introduced a univariate spatial ARCH model in 2016 (first published arXiv paper).
Research Interest Score is higher than 93% of all articles published in 2018 (Researchgate)
Dataset published: daily air quality, weather, and agricultural/livestock activity data for Lombardy, Italy to aid air quality research.
Research Interest Score is higher than 94% of all articles published in 2023 (Researchgate)
Description of my R-package for simulation and estimation of spatial GARCH models, including a new logarithmic spatial ARCH process.
Functional geostatistical analysis of bike-sharing usage in the capital of Finland, Helsinki.
We propose an adaptive LASSO estimation procedure to fully recover the unknown weight matrix of spatial autoregressive panels with locally varying mean levels.
Research Interest Score is higher than 92% of all articles published in 2022 (Researchgate)
Fully data-driven statistical model to understand the spatial and temporal evolution of coastal profiles (e.g. for efficient intervention designs against coastal erosion).
Research Interest Score is higher than 89% of all articles published in 2021 (Researchgate)
Novel spatial GARCH process in a unified framework, which also covers all previously proposed spatial ARCH models.
Research Interest Score is higher than 98% of all articles published in 2022 (Researchgate)
Statistician and data scientist with strong interest in environmental sciene
I am currently an assistant professor of Big Geospatial Data at the Leibniz University Hannover (Institute of Cartography and Geoinformatics). For one year, in 2020-2021, I was the interim professor of Spatial Data Analysis and Statistical Learning at the University of Göttingen. Before that, I led the junior research group Detection and Surveillance of Spatial and Spatiotemporal Clusters at the Viadrina Center B/ORDERS IN MOTION at the European University in Frankfurt (Oder), where I also did my Ph.D. in statistics in 2016.
In my main research area (topic T.10087 "Maximum Likelihood Method, Panel Data Model, Spatial Econometrics"), I am currently ranked 22nd worldwide on Scopus and 1st among German researchers (rated as top 7% scientists with their first publication in 2016 on ResearchGate, across all disciplines).
I am honoured to be a part of Carl Friedrich Gauss's academic lineage in the 9th generation, joining the group of 113,184 individuals who have followed in his scholarly footsteps (The Mathematics Genealogy Project). You can find my full academic genealogy here.
Below I update from time to time some news from my research, my externally funded projects and teaching.
Discover the new harmonized dataset that aims to quantify the impact of the agricultural and livestock sectors on the air quality in Lombardy, Italy. Available on Zenodo (DOI)
The accompanying paper is availabe open-access in nature Scientific Data (DOI)
I am looking for new research assistants (PhD students) for the project "Time series analysis of historical maps." The project deals with statistical modelling of geo-referenced time series from historical maps, mainly generalised additive models.
If you are interested, please feel free to contact me by email (attaching your current CV and references, such as papers, theses, etc., if available).
Inspired by the concept of Johannssen, A., N. Chukhrova, F. Schmal and K. Stabenow (2021): Statistical Literacy – Misuse of Statistics and its Consequences (Journal of Statistics and Data Science Education, 29(1), pp. 54–62.), I now teach my seminar on "Monitoring of Spatiotemporal and Network Data" in a research format, including writing a small scientific paper, double-blind peer reviews, revision process and colloquium presentation.