In Metropolitan-Council/planting.shade: Tree planting and preservation prioritization tool

Notes

The raw data for this project originates from XXX. For this project, the raw data was scaled and standardized several ways. First, each variable was assigned to a category where a high value equates to a high opportunity ("higher value is better"), or where a high value equates to a low opportunity ("lower is better").

Z-score

The z-score value represents the number of standard deviations x is from the mean. The z-score calculation is:

Where "higher is better":
$z \, score = \frac{x - mean}{standard\,deviation}\$

Where "lower is better":
$z \, score = \frac{x - mean}{standard\,deviation}\times (-1)\$

Weights nominal

The weights nominal value represents where x falls nominally in the range of values, on a 0-10 scale. The weights nominal calculation is:

Where "higher is better":
$weights \, nominal = \frac{x - minimum\,value}{maximum\,value - minimum\,value}\times 10\$

Where "lower is better":
$weights \, nominal = 10 - \frac{x - minimum\,value}{maximum\,value - minimum\,value}\times 10\$

Weights standard score

The weights standard score normally distributes the z score of x on a 0-10 scale. This is the primary variable mapped in this tool. It is calculated according to:

Where "higher is better":
$weights \, standard\, score = (normal\, distribution\, of\, z\, score)\times 10\$

Where "lower is better":
$weights \, standard\, score = 10 - (normal\, distribution\, of\, z\, score)\times 10\$

Weights rank

The weights standard score normally distributes the z score of x on a 0-10 scale. It is calculated according to:

Where "higher is better":
$weights \, rank = \frac{rank\, of\, the\, nominal \,weight\,of\,x}{number \, of \,tracts\, with\,data \, on\,x}\times 10\$

Where "lower is better":
$weights \, rank = \frac{rank\, of\, the\, nominal \,weight\,of\,x}{number \, of \,tracts\, with\,data \, on\,x}\times 10\$

Metropolitan-Council/planting.shade documentation built on Feb. 25, 2024, 3:15 a.m.