SpatialPOP (version 0.1.0)

spatialPOP: Generation of Spatial Data with Spatial Coordinates and Spatially Varying Model Parameters

Description

Generation of Spatial Data with Spatial Coordinates and Spatially Varying Model Parameters

Usage

spatialPOP(N, m, xlat, ylong)

Arguments

N

integer; population size i.e. N= (m * m)

m

integer

xlat

numeric vector

ylong

numeric vector

Value

returns a dataframe of spatially generated population consist of simulated response variable (i.e. Y) along with their spatial coordinates, spatially varying model parameters and one explanatory variable (i.e. X)

References

1. Leung, Y., Mei, C. L. and Zhang, W. X. (2000). Statistical tests for spatial non-stationarity based on the geographically weighted regression model. Environment and Planning A, 32(1), 9-32.

2. Chao, Liu., Chuanhua, Wei. and Yunan, Su. (2018). Geographically weighted regression model-assisted estimation in survey sampling. Journal of Nonparametric Statistics. <DOI:10.1080/10485252.2018.1499907>.

Examples

# NOT RUN {
lattice_points<-spatial_grid(c(1:10),c(1:10))
spatial_data<-spatialPOP(100,10,c(1:10),c(1:10))
# }