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.
2025
9783031967351
9783031967368
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1294863