columbus

datasets

Functions for computing geographically weighted
regressions are provided, based on work by Chris
Brunsdon, Martin Charlton and Stewart Fotheringham.

Roger Bivand

spgwr

Geographically Weighted Regression

Danlin Yu

Tomoki Nakaya

Miquel-Angel Garcia-Lopez

columbus function

<p>A data frame with 49 observations on 5 variables.</p><table><tr><td>
    [,1]  </td>
<td> crime  </td>
<td> numeric  </td>
<td> recorded crime per inhabitant</td>
</tr><tr><td>
    [,2]  </td>
<td> income  </td>
<td> numeric  </td>
<td> average income values</td>
</tr><tr><td>
    [,3]  </td>
<td> housing  </td>
<td> numeric  </td>
<td> average housing costs</td>
</tr><tr><td>
    [,4]  </td>
<td> x  </td>
<td> numeric  </td>
<td> Easting</td>
</tr><tr><td>
    [,5]  </td>
<td> y   </td>
<td> numeric  </td>
<td> Northing</td>
</tr></table>

Format

Columbus, OH crime data — columbus

Columbus, OH crime data

columbus: Columbus, OH crime data

Description

Usage

Arguments

Format

References

[,1]	crime	numeric	recorded crime per inhabitant
[,2]	income	numeric	average income values
[,3]	housing	numeric	average housing costs
[,4]	x	numeric	Easting
[,5]	y	numeric	Northing