Posts Tagged ‘NYC Open Data’

I refined the prototype for the NYC Property Extractor web app a bit more with some minor UI / UX changes. The app now only lets the user select an area when they are zoomed into the neighborhood scale (greater than or equal to zoom 16). This limits the amount of data a user may select so that they won’t say be able to select all of Brooklyn and bog down the server or database. Other changes include panning and zooming the map to the area the user selects when they draw a shape or click on a tax lot.

Also see this post and this post for feedback and development of the web app.



After spending a considerable amount of time on the NYC Open Data portal (Socrata) I started to consider how the website / application could move beyond it’s current state as a data repository and simplistic mapping application to become a tool for visualizing and analyzing the data it contains.  I’ve spent a considerable amount of time looking through a lot of data on this site, and even more time editing data so that it could be mapped / visualized.  What if users could contribute back edited data that is more user and analysis friendly? For example, a lot of this data contains addresses or even lat lon coordinates but often these elements are encoded in the data poorly making the data hard to geocode. If for example someone like myself could create an account, copy the data, then edit the data to make it more user-friendly, then upload it back to the site, a lot of time would be saved for future users down the road. Other users on the site could inspect the data and make corrections or flag it if it contained errors.

The image above is a prototype of what such an application might look like for NYC Open Data 2.0. A user could select from multiple data types and create overlays to draw connections such as mapping demographic data and grocery stores to determine areas of the city that might be considered food desserts.  The app would go further than visualization and actually analyze data; effectively giving the user statistical information and letting them know if there is significance such as correlation between datasets.  This is a first iteration and needs to be further developed and revised.

More mapping of NYC’s open-data, this time with CSV data of graffiti reports, rat sighting calls to 311, and wi-fi hotspots. Graffiti sites are shown in yellow, rat sighting locations in red, and wifi hotspots in blue.

Screen Shot 2013-09-14 at 12.30.06 PM

link to map here

The point of mapping this data is that there really isn’t a point, just how arbitrary datasets could be viewed amongst each other. Once again TileMill, QGIS, GDAL, and MapBox were the tools I used to create this map.


Link to interactive map

This Choropleth map shows the number people per acre by census track. Data was used from the 2010 Census and taken from NYC’s open-data website. 

Tools used include QGIS, TileMill, MapBox, and GDAL.

NYC 100 year Floodplain 2020

link to interactive map

An interactive map showing the estimated NYC 100 year Floodplain for 2020 that takes into account the influence of sea-level rise predictions by the New York City Panel on Climate Change.
Data is here and was processed using QGIS, GDAL, & TileMill. Hosted with MapBox.