Simulated random variables with spatial autocorrelation, on 10x10 grid.
- Observations = 100
- Variables = 34
Source The grid was created in GeoDa. The variables were simulated using R and its spdep package.
| Variable | Description |
|---|---|
| POLYID | Grid cell identifier |
| Z | Random variables for standard normal distribution |
| ZMAxx | Standard normal variates transformed to follow a spatial moving average with parameter xx (xx is 02, 05, 07, 09 for 0.2, 0.5, 0.7, 0.9) |
| RANZMAxx | Randomly permuted observations matching the variable ZMAxx |
| ZMANxx | Standard normal variates transformed to follow a spatial moving average with negative parameter xx (xx defined above)} |
| RANZMANxx | Randomly permuted counterpart of ZMANxx (xx defined above)} |
| ZARrxx | Standard normal variates transformed to follow a spatial autoregressive process with parameter xx (xx defined above)} |
| RANZARxx | Randomly permuted counterpart of ZARxx (xx defined above)} |
| ZARNxx | Standard normal variates transformed to follow a spatial autoregressive process with negative parameter xx (xx defined above)} |
| RANZARNxx | Randomly permuted counterpart of ZARNxx (xx defined above)} |
Prepared by Luc Anselin. Last updated June 3, 2004. Data provided “as is,” no warranties.