Francesco Tonini
Geospatial Data Scientist
Email: ftonini@msu.edu
Education:
• Ph.D. Geomatics University of Florida, 2014
• M.S. Statistics for Biomedicine, the Environment, and Technology University of Rome (Italy), 2010
• B.S. Statistics and Information Systems University of Florence (Italy), 2007
Bio:
Francesco is a geospatial data scientist and certified GISP (GIS professional) with a cross-disciplinary background in statistics/machine learning, geospatial analysis/modeling and visualization, and programming. His professional interests include cloud and AI tools to solve global environmental and sustainability challenges, ecosystem services provision, and human-natural systems research. Some of his efforts have also been directed toward bridging the gap between science and stakeholders by improving existing visualization and display approaches to assist with forecasting, prevention, and mitigation of environmental impacts.
Currently, he is leading and coordinating the development of a suite of geo-processing tools and GIS software/web applications on telecoupling.
Research Interests:
Coupled human and natural systems (CHANS), Ecosystem Services, Data Science, Geospatial Modeling, WebGIS, Natural Hazards & Emergency Management
Organization(s):
US International Association for Landscape Ecology, American Geophysical Union
Home Page: Personal page
Publications
| Title | Book/Journal | Year |
|---|---|---|
| The Telecoupling GeoApp: A Web-GIS application to systematically analyze telecouplings and sustainable development | Applied Geography | 2018 |
| Telecoupling Toolbox: spatially explicit tools for studying telecoupled human and natural systems | Ecology and Society | 2017 |
| Tangible geospatial modeling for collaborative solutions to invasive species management | Environmental Modelling & Software | 2017 |
| Spatio-temporal reconstruction of missing forest microclimate measurements | Agricultural and Forest Meteorology | 2016 |
| Stochastic spread models: A comparison between an individual-based and a lattice-based model for assessing the expansion of invasive termites over a landscape | Ecological Informatics | 2014 |
| Predicting the geographical distribution of two invasive termite species from occurrence data | Environmental Entomology | 2014 |
| Areal delineation of home regions from contribution and editing patterns in OpenStreetMap | International Journal of Geo-Information | 2014 |