Canopy Height Model (CHM) from NASA Goddard's LiDAR Hyperspectral and
Thermal (G-LiHT; Cook et al. 2013) Airborne Imager over a subset of
Harvard Forest Simes Tract, MA, collected in Summer 2012.
The <code>CHM</code> matrix columns are longitude, latitude, and canopy height
(m) from ground for 17,23,137 observations. Longitude and latitude are
in UTM Zone 18 (proj4string "+proj=utm +zone=18 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0").

datasets

Fits Gaussian univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, Cook, Morton, Andersen, and Banerjee (2017) <arXiv:1702.00434v2>.

Andrew Finley

spNNGP

Spatial Regression Models for Large Datasets using Nearest
Neighbor Gaussian Processes

Abhirup Datta

Sudipto Banerjee

Alexander Mckim

CHM function

A matrix containing 17,23,137 rows and 3 columns named longitude, latitude, and CHM.

CHM: Canopy Height Model from NASA Goddard's LiDAR Hyperspectral and Thermal (G-LiHT)

Description

Usage

Arguments

Format

References