Works (3)

Updated: July 5th, 2023 15:39

2017 journal article

Nonstationary Gaussian Process Models Using Spatial Hierarchical Clustering from Finite Differences

TECHNOMETRICS, 59(1), 93–101.

By: M. Heaton*, W. Christensen* & M. Terres n

author keywords: Geostatistics; Large datasets; Parallel computing; Spatial partition
TL;DR: This work considers partitioning a spatial region into disjoint sets using hierarchical clustering of observations and finite differences as a measure of dissimilarity and proposes a nonstationary Gaussian process model across the clusters, which allows the computational burden of model fitting to be distributed across multiple cores and nodes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
11. Sustainable Cities and Communities (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Spatial process gradients and their use in sensitivity analysis for environmental processes

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 168, 106–119.

By: M. Terres n & A. Gelfand*

author keywords: Cauchy process; Directional derivative; Gaussian process; Log-Gaussian cox process; Matern correlation function
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
15. Life on Land (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Assessing habitat use by snapper (Chrysophrys auratus) from baited underwater video data in a coastal marine park

PLoS One, 10(8).

By: M. Terres, E. Lawrence, G. Hosack, M. Haywood & R. Babcock

Source: NC State University Libraries
Added: August 6, 2018

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