Codes

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