Codes

The codes attached are used to support our study. Each of these codes is exported from ArcMap where they were constructed using ModelBuilder.

Our study area focuses
on New York City, which provides a data-rich urban environment with extreme
variations in local population density and diverse types of input data in which
to construct multiple methods. In this study area we can then compare the
efficacy of multiple methodologies, which employ a strong binary mask paired
with a density variable directly derived from the binary mask. We test the
following methodologies:

1. Land areas binary mask

2. Building footprint binary mask

3. Building footprint binary mask and area density
variable

4. Building footprints binary mask and volume
density variable

5. Residential building footprint binary mask

6. Residential building footprint binary mask and
area density variable

7. Residential building footprint binary mask and
volume density variable