To understand how Gentrification is affecting New York City, we have selected 6 attributes that are strong indicators of Gentrification. Below, is our justification for each attribute:
Using the data from NYU's Furman Center for Urban Policy, our visualization colors a map of the subboroughs of NYC certain shades of blue depending how "much" gentrification there is going on in a certain area. Darker colored subboroughs are supposed to be impacted more by gentrification than lighter colorerd areas.So how do we decide which subboroughs are more gentrified than others?
We've normalized all the data from NYU so that each value, regardless of attribute, is between 0 and 1. We then add the normalized values from the selected attributes and year to generate a sum that represents a "Gentrification Score". A higher score will correspond to a darker color on the color scale. We recognize that not all attributes are positively correlated with the amount of gentrification going on in a certain area. Consider the "Housing Units" attribute, for example. More housing units indicates more supply, which can lead to lower rent and more affordable housing. Less housing units, however, can lead to more gentrification as this can cause higher rent and more displaced people. For metrics like this, we simply find the normalized value for metric x and take its complement (1 - x).