holes_bm: Holes with trend + multiple realizations Data Set

In cocons: Covariate-Based Covariance Functions for Nonstationary Spatial Modeling

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)

cocons documentation built on April 4, 2025, 3:21 a.m.