all_sim_data: Temperature data from simulation

In jtipton25/BayesMRA: Bayesian Multi-Resolution Gaussian Process Approximations

Temperature data from simulation

Description

A dataset containing the temperature measurements and locations from simulated data used in Heaton et al, A Case Study Competition Among Methods for Analyzing Large Spatial Data, Journal of Agricultural, Biological and Environmental Statistics, 2018: http://link.springer.com/article/10.1007/s13253-018-00348-w

Usage

data("all_sim_data")

Format

A data frame with 150000 rows and 4 variables:

Lon

The longitude of the obseravtion

Lat

The latitude of the obseravtion

MaskTemp

The simulated temperature observations with a mask that is used for training the model

TrueTemp

The simulated temperature observations without a mask that is used for evaluating the model

Source

GitHub

References

Heaton et al, A Case Study Competition Among Methods for Analyzing Large Spatial Data, Journal of Agricultural, Biological and Environmental Statistics, 2018:

(JABES)

Examples

library(BayesMRA)
library(tidyverse)
data("all_sim_data")
ggplot(all_sim_data, aes(x = Lon, y = Lat, fill = TrueTemp)) +
 geom_raster()

jtipton25/BayesMRA documentation built on Feb. 28, 2024, 1:27 p.m.