Bangalore Darshinis are a class apart. They provide very affordable, clean, accessible food throughout the day. I have not seen this in many other cities. Most of the darshinis have the same or somewhat similar menu. They all have idli, vada (vada), dose(dosa), and coffee. So I figured to see if the city is affordable, the measure of these would be a good indicator, like an IDVC Index. Latte Index somewhat inspires me.
From a browser, I moved to contributing using GPS Logger or OSMAnd. That made my workflow a lot easier, but these apps are not for editing maps but for regular map use. They are okay if you are not mapping frequently or in mass. So editing flow in these apps is not seamless. Hence I continued to explore other options.
I maintain the readlist in a CouchDB database. Each feed (channel) is a document in that database. I use the file’s name as the primary key i.e “_id”. For example, “sri-lankas-economic-crisis.json” is the key to the Sri Lankan Economic Crisis reading list. It’s a single document. It has many feed items like any JSONFeed. The first few were easy to create and manage. But then I needed something simple to manage this if I was going to be serious about using it.
Until now, I have been usingreadliston JSONFeed readers. But one of the reasons to have a readlist is to share it with friends. So I thought of a page that lists the links with some description. So now I have a simple page that does just that. It fetches the JSONFeed of a readlist and displays the articles as a list.
Everything we map goes directly to OpenStreetMap. The data on OpenStreetMap is available for free under ODBL. The easiest way to download Surveillance in Bengaluru data is from Overpass Turbo. I have written some queries below that you can use on Overpass Turbo to get the data. I also have a demo video for you.