2022
DOI: 10.1002/env.2750
|View full text |Cite
|
Sign up to set email alerts
|

From model selection to maps: A completely design‐based data‐driven inference for mapping forest resources

Abstract: A completely data‐driven, design‐based sampling strategy is proposed for mapping a forest attribute within the spatial units tessellating a survey region. Based on sample data, a model is selected, and model parameters are estimated using least‐squares criteria for predicting the attribute of interest within units as a linear function of a set of auxiliary variables. The spatial interpolation of residuals arising from model predictions is performed by inverse distance weighting. The leave‐one‐out cross validat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 52 publications
0
3
0
Order By: Relevance
“…Statistical details, equations, and mathematical proofs of the procedure adopted to perform per-pixel mapping are described in [ 37 ], while here, we provide a schematic and technical overview of the main implemented steps.…”
Section: The Datadriven Open Source Toolmentioning
confidence: 99%
See 2 more Smart Citations
“…Statistical details, equations, and mathematical proofs of the procedure adopted to perform per-pixel mapping are described in [ 37 ], while here, we provide a schematic and technical overview of the main implemented steps.…”
Section: The Datadriven Open Source Toolmentioning
confidence: 99%
“…The dataDriven tool was tested on a forested AOI (the Rincine forest estate) located in eastern Tuscany in Central Italy, centered on coordinates N and E. dataDriven was used to predict the forest volume density and estimate the root mean square error for each pixel, but we stress that it can be applied to any kind of variable of interest or study area. In this study, we used the reference dataset adopted in [ 37 ].…”
Section: Datadriven Implementation: a Case Studymentioning
confidence: 99%
See 1 more Smart Citation