Rudin Center site, but did not ultimately use. It was useful in that it showed me how<\/p>\n to work with Carto, and what it could do. The map Satisfied curiosity about transport<\/p>\n routes as well. The east side has more truck routes, access points, and connections to<\/p>\n other boroughs and Long Island.<\/p>\n The second visualization (below) was closer to the final product, in terms of<\/p>\n subject matter. It was also more useful, as it was more along the lines of what I wanted<\/p>\n to create. Design-wise, not what I was looking for, necessarily, but was a starting<\/p>\n point. However, this map sparked curiosity about WiFi hotspots (I was thinking of the<\/p>\n Link terminals popping up \u2013 https:\/\/www.link.nyc\/find-a-link.html)<\/a>, as I had been<\/p>\n seeing them around town more frequently.<\/p>\n (http:\/\/www.openwifispots.com\/city_free_wifi_wireless_hotspot-New_York_NY.aspx#40.75604,-73.986941,14<\/a>)<\/p>\n The third visualization I came across was the closest to the final product. This<\/p>\n is the dataset I wound up using (from the NYC Open data site). Once created,<\/p>\n wanted to add something else to make the map more detailed, so I added the art<\/p>\n gallery overlay to the existing map.<\/p>\n https:\/\/data.cityofnewyork.us\/Social-Services\/NYC-Wi-Fi-Hotspot-Locations\/a9we-mtpn\/data<\/a><\/p>\n To create the map<\/a>, I used Carto, and data sets (WiFi, and gallery locations)<\/p>\n from the NYC Open data site. Before settling on the final product, I worked with<\/p>\n other data sets (subway maps), but did not use that one because it did not quite work<\/p>\n out the way I had envisioned. The train data populated the map, but did not overlay<\/p>\n well with the WiFi and gallery layers. That could have potentially been resolved by<\/p>\n designating galleries with a different symbol, so as to avoid any confusion over what<\/p>\n was being shown. Also, the hover-over function that would display<\/p>\n addresses\/intersections did not work.<\/p>\n To create the final product, I started looking around for appropriate data sets in<\/p>\n advance of the lab. The process began as an exploratory task to see what was out there<\/p>\n \u2013 what would work in Carto, as well as what I may want to see in visualization form.<\/p>\n As with the 2nd<\/sup> lab, I found data sets, but when plugging them into Carto, they did not<\/p>\n necessarily turn out as expected, or may not have worked at all. I created several maps<\/p>\n (such as the truck routes, and the train stations) before settling on what seemed to<\/p>\n meet at the intersection of functionality and interest.<\/p>\n After finding appropriate sets, I imported the shapefiles into Carto, and created<\/p>\n the map. It initially began with one layer (WiFi?), then added the other layer on top of<\/p>\n that, and began adjusting colors and other facets to show addresses and names for<\/p>\n galleries, as well as WiFi spots. Throughout the creation process, I made changes in<\/p>\n Carto to enhance visual presentation (placement of names, fonts, colors) to show the<\/p>\n different items being mapped.<\/p>\n The map (interactive) can be found at the link below:<\/p>\n![\"picture1\"](\"https:\/\/i0.wp.com\/studentwork.prattsi.org\/infoshow\/wp-content\/uploads\/sites\/2\/2016\/11\/Picture1-3.png?resize=499%2C416\")
<\/a><\/p>\n![\"picture2\"](\"https:\/\/i0.wp.com\/studentwork.prattsi.org\/infoshow\/wp-content\/uploads\/sites\/2\/2016\/11\/Picture2-1-620x572.png?resize=467%2C431\")
<\/a><\/p>\n![\"picture3\"](\"https:\/\/i0.wp.com\/studentwork.prattsi.org\/infoshow\/wp-content\/uploads\/sites\/2\/2016\/11\/Picture3-1.png?resize=299%2C293\")
<\/a><\/p>\n
![\"picture4\"](\"https:\/\/i0.wp.com\/studentwork.prattsi.org\/infoshow\/wp-content\/uploads\/sites\/2\/2016\/11\/Picture4-1-620x438.png?resize=620%2C438\")
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