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., 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). 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;
2025

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.
paper
predictive maps; spatial interpolation; pseudo-population bootstrap; auxiliary variables
English
2025 Italian Statistical Society Meeting-SIS - JUN 16-18, 2025
2025
di Bella, E; Gioia, V; Lagazio, C; Zaccarin, S
Statistics for Innovation I SIS 2025, Short Papers, Plenary, Specialized, and Solicited Sessions
9783031967351
17-giu-2025
2025
50
55
reserved
Di Biase, R., 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). 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/10281/585022
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