Spatially explicit mapping depicting the distribution of an interest attribute is approached in a model-assisted framework using the inverse distance weighting (IDW) interpolator. The procedure also allows for the inclusion of wall-to-wall auxiliary variables. Moreover, a pseudo-population bootstrap procedure to estimate the precision of the resulting map is adopted. This methodology is applied to the Acquerino-Cantagallo Nature Reserve in central Italy to produce the wild boar rooting impact map and the corresponding precision map.
Di Biase, R.M., Marcelli, A., Calosi, M. (2025). Model-Assisted Procedure for Spatially Explicit Maps with an Application to Wild Boar Rooting Impact. In Statistics for Innovation I. SIS 2025, Short Papers, Plenary, Specialized, and Solicited Sessions (pp.50-55). Cham : Springer [10.1007/978-3-031-96736-8_9].
Model-Assisted Procedure for Spatially Explicit Maps with an Application to Wild Boar Rooting Impact
Di Biase, Rosa Maria;Marcelli, Agnese;
2025-01-01
Abstract
Spatially explicit mapping depicting the distribution of an interest attribute is approached in a model-assisted framework using the inverse distance weighting (IDW) interpolator. The procedure also allows for the inclusion of wall-to-wall auxiliary variables. Moreover, a pseudo-population bootstrap procedure to estimate the precision of the resulting map is adopted. This methodology is applied to the Acquerino-Cantagallo Nature Reserve in central Italy to produce the wild boar rooting impact map and the corresponding precision map.File | Dimensione | Formato | |
---|---|---|---|
2025 Di Biase et al. SIS.pdf
non disponibili
Tipologia:
PDF editoriale
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
9.15 MB
Formato
Adobe PDF
|
9.15 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/1294863