| spatialPOP {SpatialPOP} | R Documentation |
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
lattice_points<-spatial_grid(c(1:10),c(1:10))
spatial_data<-spatialPOP(100,10,c(1:10),c(1:10))