7d2d webmap leaflet3/20/2023 ![]() ![]() To clarify, we need to figure out how to gather coordinates for a location for each row of a CSV file in order to display these locations on a web map. So here is our first problem to solve: how can we geocode placenames? How could we take an entry such as “CN Tower” and add the coordinates 43.6426,-79.3871 to it automatically? What we want to do then is to somehow generate coordinates from these locations. In our data file, we have a list of placenames in our CSV data (the Area Name column), but no coordinates. For example, 43.6426,-79.3871 would represent the exact coordinates of the CN Tower in Toronto. Web maps typically understand locations as a series of coordinates. Every location in a geographic data file can be considered to have geometry (such as points, lines, polygons) as well as additional properties. ![]() Web maps typically represent locations and features from geographic data formats such as geoJSON and KML. Now that we have data, we will use this as our source to make a web map. Geocoding with Python Geocode the placenames in the CSV using Geopy, Pandas The original source of this data is from the Greater London Authority London Datastore. You can grab this by either opening the link in your browser and saving the page, or you can use the curl command from your command line: We’re going to start with a plain comma-separated values (CSV) data file and create a web map from it.
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