More Mapping Tools

Screen Shot 2017-02-27 at 1.38.54 PM

This week, we had to explore two different mapping tools: Mapbox Studio and QGIS. The custom map is above and also on my github page. I ended up mapping Business Improvement Districts (BIDs), which are collectives of local businesses that take an active role in maintaining and improving their neighborhoods. I got the data from NYC Open Data. After making this, I looked through the gallery of custom maps on Mapbox Studio, and it seems like it’s a super flexible tool that I hope to revisit.


For the QGIS assignment, I took cues from the reading from How To Lie With Maps, choosing the politically charged territory of Israel and Palestine. I isolated and abstracted the territory, leaving the surrounding areas empty except for very lightly drawn roads. Unlike the maps in the reading, though, doesn’t have a clear propaganda message (which is good because my own feelings on the topic are complicated).

Moves Data

Screen Shot 2017-02-13 at 2.49.56 PM

This week, I mapped my own data from the Moves app. After trying and failing at creating animation with Leaflet.Polyline.SnakeAnim, I decided instead to take up the challenge of creating toggled displays based on time filters. I first attempted to change the display using removeLayer() based on states being true or false, but it only worked when I bound the layer displays to click functions:

Screen Shot 2017-02-13 at 2.56.52 PM

The code is a bit clunky, but hey, it works. See evidence here.

Mapping with Data

Screen Shot 2017-02-06 at 12.41.50 PM

This week, I tackled working with data in mapping and The latter part of the process definitely the more difficult part, since I command line and the whole idea of git are new to me. The (finally!) successful result, a map projecting floodplain and sea level rise due to climate change, lives here.

The other great discovery this week, in addition to a very basic understanding of git, is the source of the data for this exercise: NYC Open Data. It’s incredible that the city makes all of its data available—from historic sites to tree maps, taxi rides to health concerns. Living in a city means that data is collected from you everywhere you go, and it’s amazing that the city government is giving it back to us, no strings attached.

First web map!

(I used the OSM plugin for blog display)