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.