From model selection to maps: A completely design‐based data‐driven inference for mapping forest resources-Reference-Cited by-同舟云学术

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

Published:2022-08-04 Issue:7 Volume:33 Page:
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Di Biase Rosa Maria¹²^ORCID,Fattorini Lorenzo³,Franceschi Sara³^ORCID,Grotti Mirko⁴,Puletti Nicola²,Corona Piermaria²

Affiliation:

1. Department of Sociology and Social Research University of Milano Bicocca Milan Italy

2. CREA Research Center for Forestry and Wood Arezzo Italy

3. Department of Economics and Statistics University of Siena Siena Italy

4. Department of Architecture and Design University of Rome La Sapienza Rome Italy

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2750

Reference45 articles.

1. Markov chain designs for one‐per‐stratum sampling;Breidt F. J.;Survey Methodology,1995

2. Model Selection and Inference

3. Wall-to-wall spatial prediction of growing stock volume based on Italian National Forest Inventory plots and remotely sensed data

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Per-Pixel Forest Attribute Mapping and Error Estimation: The Google Earth Engine and R dataDriven Tool;Sensors;2024-06-18

2. Design-based mapping of land use/land cover classes with bootstrap estimation of precision by nearest-neighbour interpolation;The Annals of Applied Statistics;2023-12-01

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