I have a dataset that contains zip codes. I want to figure out the name of the associated NYC neighborhood. For example, I have zip code 10021 and I want to know 10021 is located in Upper East Side.
Is there a way to do this mapping?
The dataset also has latitude and longitude values.
Is there a better way to determine the neighborhoods?
I also looked at this: https://en.wikipedia.org/wiki/List_of_Manhattan_neighborhoods Which looks like its done at the street level. (Above link is just for manhattan zip codes, but similar for other boroughs) I looked at this page that does some of the zip code mappings, but it doesn't include all the NYC zip codes.
I also looked at Seeking New York Neighborhoods Boundaries?, which uses shapefiles for the neighborhoods. I'm not familiar with shapefiles. I think I could map the points and then map the shape layer on top of it.
Is there way I can "join" this data. (Meaning if I were to use zip codes?
If one dataset had zip code and the other dataset had zip code I could join records on the zip code value. I don't know how I could do this with shapes.