multisampling: Large Scale Simulated Spatial Multisampling Data (DataFrame)

In hgwrr: Hierarchical and Geographically Weighted Regression

Large Scale Simulated Spatial Multisampling Data (DataFrame)

Description

A simulation data of spatial hierarchical structure and samples overlapping on certain locations.

Usage

data(multisampling)

Format

A list of three items called "data", "coords" and "beta". Item "data" is a data frame with 21434 observations at 625 locations and the following 6 variables.

y

a numeric vector, dependent variable y

g1

a numeric vector, group level independent variable g_1

g2

a numeric vector, group level independent variable g_2

z1

a numeric vector, sample level independent variable z_1

x1

a numeric vector, sample level independent variable x_1

group

a numeric vector, group id of each sample

where g1 and g2 are used to estimate local fixed effects; x1 is used to estimate global fixed effects and z1 is used to estimate random effects.

Author(s)

Yigong Hu [e-mail]

Examples

## Not run: 
data(multisampling)
hgwr(formula = y ~ L(g1 + g2) + x1 + (z1 | group),
     data = multisampling$data,
     coords = multisampling$coords,
     bw = 32)

## End(Not run)

hgwrr documentation built on April 4, 2025, 3:57 a.m.