R Notebook

Let’s see how COVID has affected people’s way of developing their properties.

## Reading layer `NHzip_2020-10-16' from data source `D:\School\summer 2021\BPHC_Nbhd_Shp-20210706T230937Z-001\BPHC_Nbhd_Shp\NHzip_2020-10-16.shp' using driver `ESRI Shapefile'
## Simple feature collection with 15 features and 6 fields
## Geometry type: MULTIPOLYGON
## Dimension:     XY
## Bounding box:  xmin: 739826.9 ymin: 2908285 xmax: 795020.4 ymax: 2970073
## Projected CRS: NAD83 / Massachusetts Mainland (ftUS)

How do the changes to the family distribute across neighborhoods?
measure one: the four types of property developments on the neighborhood level

measure two: the four types of property developments on the neighborhood level normalized by population density

Let’s look at the correlations between these measures and COVID cases through waves:

Let’s visualize the correlation values. In the second one, we have left the insignificant correlations blank.