Pubblicazioni

PUBBLICAZIONI IN RIVISTE DI CLASSE A ANVUR – ASN 13/D1

  • RM Di Biase, A Marcelli, P Corona, SV Stehman, L Fattorini (2025) Design-based mapping of errors in remote sensing-based land use/land cover maps. Stochastic Environmental Research and Risk Assessment, accepted. doi.org/10.1007/s00477-025-02908-2
  • RM Di Biase, L Fattorini, A Marcelli (2025) A design-based view of species richness estimation in environmental surveys. Journal of the Royal Statistical Society Series C: Applied Statistics, accepted. doi.org/10.1093/jrsssc/qlaf005
  • RM Di Biase, M Marcheselli, C Pisani (2024) Achieving spatial balance in environmental surveys under constant inclusion probabilities or inclusion density functions. Environmetrics, e2869. doi.org/10.1002/env.2869
  • RM Di Biase, F Mecatti (2024) Applying sequential adaptive strategies for sampling animal populations: an empirical study. Environmetrics, e2870. doi.org/10.1002/env.2870
  • A Marcelli, RM Di Biase, P Corona, SV Stehman, L Fattorini (2023) Design-based mapping of land use/land cover classes with bootstrap estimation of precision by nearest-neighbour interpolation. The Annals of Applied Statistics 17, 3133-3152. doi:10.1214/23-AOAS1754
  • RM Di Biase, A Marcelli, S Franceschi, A Bartolini, L Fattorini (2022) Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation. Spatial Statistics 51, 100660. doi:10.1016/j.spasta.2022.100660
  • RM Di Biase, L Fattorini, S Franceschi, M Grotti, N Puletti, P Corona (2022) From model selection to maps: a completely design-based data-driven inference for mapping forest resources. Environmetrics 33, e2750. doi:10.1002/env.2750
  • A Chiarucci, RM Di Biase, L Fattorini, M Marcheselli, C Pisani (2018) Joining the incompatible: exploiting purposive lists for the sample-based estimation of species richness. Annals of Applied Statistics 12, 1679–1699. doi:10.1214/17-AOAS1126

ALTRE PUBBLICAZIONI IN RIVISTE PEER-REVIEWED

  • S Francini, A Marcelli, G Chirici, RM Di Biase, L Fattorini, P Corona (2024) Per-Pixel Forest Attribute Mapping and Error Estimation: The Google Earth Engine and R dataDriven Tool. Sensors 24, 3947. doi.org/10.3390/s24123947
  • S Franceschi, RM Di Biase, A Marcelli, L Fattorini (2022) Some empirical results on nearest-neighbour pseudo-populations for resampling from spatial populations. Stats 5, 385-400. doi:10.3390/stats5020022
  • P Corona, RM Di Biase, L Fattorini, M D’Amati (2019) A Monte Carlo appraisal of the estimation of tree abundance and stand basal area in forest inventories based on terrestrial laser scanning. Canadian Journal of Forest Research 49, 41–52. doi:10.1139/cjfr-2017-0462
  • L Fattorini, RM Di Biase, D Giuliarelli, M Marcheselli, C Pisani, P Corona (2019) Mapping the diversity of forest attributes: a design-based approach. Canadian Journal of Forest Research 49, 190–197. doi:10.1139/cjfr-2018-0204
  • RM Di Biase, L Fattorini, M Marchi (2018) Statistical inferential techniques for approaching forest mapping. A review of methods. Annals of Silvicultural Research 42, 46–58. doi:10.12899/asr-1738

WORKING PAPER DI DIPARTIMENTO

  • A Bartolini, RM Di Biase, L Fattorini, S Franceschi, A Marcelli (2021) Design-based mapping of plant species presence, association and richness by nearest-neighbor interpolation, WP 854.