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Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping

Gathering information about forest variables is an expensive and arduous activity. As such, directly collecting the data required to produce high-resolution maps over large spatial domains is infeasible. Next generation collection initiatives of remotely sensed Light Detection and Ranging (LiDAR) da...

詳細記述

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書誌詳細
出版年:Stat Sin
主要な著者: Taylor-Rodriguez, Daniel, Finley, Andrew O., Datta, Abhirup, Babcock, Chad, Andersen, Hans-Erik, Cook, Bruce D., Morton, Douglas C., Banerjee, Sudipto
フォーマット: Artigo
言語:Inglês
出版事項: 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7731981/
https://ncbi.nlm.nih.gov/pubmed/33311955
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5705/ss.202018.0005
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