Spatial Field Reconstruction of Non-Gaussian Random Fields: The Tukey G-and-H Random Process-Reference-Cited by-同舟云学术

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Spatial Field Reconstruction of Non-Gaussian Random Fields: The Tukey G-and-H Random Process

Published:2018 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Nagarajan Sai Ganesh,Peters Gareth,Nevat Ido

Publisher

Elsevier BV

Reference43 articles.

1. Environmental sensor networks: A revolution in the earth system science?;J K Hart;Earth-Science Reviews,2006

2. High-resolution monitoring of atmospheric pollutants using a system of low-cost sensors;S Rajasegarar;IEEE transactions on geoscience and remote sensing,2014

3. Spatial modeling for risk assessment of extreme values from environmental time series: A bayesian nonparametric approach;A Kottas;Environmetrics,2012

4. Participatory sensing data tweets for micro-urban real-time resiliency monitoring and risk management;D Murakami;IEEE Access,2016

5. Comparison of approaches for spatial interpolation of daily air temperature in a large region with complex topography and highly variable station density;K Stahl;Agricultural and Forest Meteorology,2006

Cited by 1 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. Spatiotemporal Analysis of Urban Heatwaves Using Tukey G-and-H Random Field Models;SSRN Electronic Journal;2020

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