| Title: | Generation of Spatial Data with Spatially Varying Model Parameter |
|---|---|
| Description: | A spatial population can be generated based on spatially varying regression model under the assumption that observations are collected from a uniform two-dimensional grid consist of (m * m) lattice points with unit distance between any two neighbouring points. For method details see Chao, Liu., Chuanhua, Wei. and Yunan, Su. (2018).<DOI:10.1080/10485252.2018.1499907>. This spatially generated data can be used to test different issues related to the statistical analysis of spatial data. This generated spatial data can be utilized in geographically weighted regression analysis for studying the spatially varying relationships among the variables. |
| Authors: | Nobin Chandra Paul |
| Maintainer: | Nobin Chandra Paul<[email protected]> |
| License: | GPL (>= 2.0) |
| Version: | 0.1.0 |
| Built: | 2024-10-23 05:00:21 UTC |
| Source: | https://github.com/cran/SpatialPOP |
a uniform two dimensional grid of lattice points
spatial_grid(lat, long)spatial_grid(lat, long)
lat |
numeric vector |
long |
numeric vector |
returns a dataframe of lattice points
spatial_grid(c(1:10),c(1:10))spatial_grid(c(1:10),c(1:10))
Generation of Spatial Data with Spatial Coordinates and Spatially Varying Model Parameters
spatialPOP(N, m, xlat, ylong)spatialPOP(N, m, xlat, ylong)
N |
integer; population size i.e. N= (m * m) |
m |
integer |
xlat |
numeric vector |
ylong |
numeric vector |
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)
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>.
lattice_points<-spatial_grid(c(1:10),c(1:10)) spatial_data<-spatialPOP(100,10,c(1:10),c(1:10))lattice_points<-spatial_grid(c(1:10),c(1:10)) spatial_data<-spatialPOP(100,10,c(1:10),c(1:10))