Equidistant Cartesian projection for NYC

Equidistant Cartesian projection for NYC

I'm working on a project in which I cluster locations in New York City based on their distance. My dataset contains latitude and longitude and thus I'd like to project it to a 2D Cartesian space in which distances are preserved.

I'm not really familiar with all those concepts, but I chose to use the geotools java library to project my coordinates. However I don't know to which CRS I should project in order to be able to do so, could you help me?

I've seen some cylindrical equidistant CRS but I assume the coordinates will then be in a cylindrical space. Should I then project this space on a flat surface? Is there any equidistant Cartesian CRS? How could I find a corresponding CRS in the online databases?

New York State Plane Long Island is the state plane zone used for NYC. Its EPSG Code is 2263, units are in feet, and it uses Lambert Conformal Conic. Despite Long Island being in the name, it does cover NYC and is used by all the city agencies here that produce GIS data (Dept City Planning, DOITT, etc - for example all data provided here uses that system:

If you're measuring distances just within the city and surrounding area, that's the system to use - I believe there is an alternative one that uses meters if you prefer (EPSG 32118). Another alternative would be UTM (NYC is in zone 18N). Regardless of what you use (assuming you're not doing something that needs pinpoint accuracy), given the fact that your study area is small and you're only measuring distances within that area you're not going to get significant distortion or errors in your measurements. This only starts to become a serious issue once you're measuring greater distances across countries or continents.

A useful projection reference:

Watch the video: Change Projection - Coordinate System in ArcMap