drmarcogir Goto Github PK

I am a quantitative ecologist working at the inferface between data science and earth observation.

• Forest phenological diversity Python and R code for the preparation and analysis of data on patterns and trends in forest phenological diversity
  Reference: Girardello, M., Ceccherini, G., Duveiller, G., Migliavacca, M., Cescatti, A. (2024). Patterns and trends in the spatial heterogeneity of land surface phenology of global forests. Environmental Research Communications (in press).

• Forest disturbances Python code for the preparation of environmental data used for studying forest disturbances in Europe.
  Reference: Forzieri, G., Girardello, M., Ceccherini, G., Spinoni, J., Feyen, L., Hartmann, H., Beck, P.S., Camps-Valls, G., Chirici, G., Mauri, A. and Cescatti, A., (2021). Emergent vulnerability to climate-driven disturbances in European forests. Nature communications, 12(1), pp.1-12.

• Plant diversity in beech forests R code for analysing the drivers of plant diversity in European beech forests.
  Reference: Jiménez-Alfaro, B., Girardello, M., Chytrý, M., Svenning, J. C., Willner, W., Gégout, J. C., ... & Wohlgemuth, T. (2018). History and environment shape species pools and community diversity in European beech forests. Nature Ecology & Evolution, 2(3), 483-490.

• Model averaging for Randomized Response Logistic Regression Models An R package for model selection and multi-model inference for Randomized Response Logistic Regression Models. The package includes functions for model selection and model-averaging for RRlog models, computed using the RRreg package.