holes_bm {cocons} | R Documentation |
Holes with trend + multiple realizations Data Set
Description
The synthetic "holes_bm" provides a set of training and test data.frame of a Gaussian process realization with a (inherently dense) nonstationary covariance function. Four holes are present in the training dataset, and the task is to predict them. This version provides ten independent realizations of the process, as well as considers a spatial mean effect.
Usage
holes_bm
Format
A list with training, training.z, test, and test.z data.frames with rows and variables:
- x
first spatial coordinate
- y
second spatial coordinate
- cox_x
first spatial characteristic
- cov_y
second spatial characteristic
- cov_z
third spatial characteristic
- z.i
i-th response variable
Source
Source of the data
Examples
data(holes_bm)
[Package cocons version 0.1.4 Index]