Data, Maps & Landscape

A spatial Blog

Category: visualizations

Tag Maps Python Implementation, HDBSCAN and Emoji Clustering

An email today made me aware that I really need to update the YouTube video tutorials on Tag Maps to the new Python implementation. This made so many things easier. The time for processing data for a typical map based on 200,000 photos is now down from 1 hour to 2-5 Minutes (kudos to the […]

Painted by 1,387,131 Artists

The temporal aspect often isn’t visible in static visualizations, but time & space aren’t separable. These visualizations show how Flickr users ‘paint’ a collective map of spatial photo attribution and valuation by contributing thousands of personal experiences each day from 2007 to 2017. The first animation shows global photo locations, with accentuation of areas in […]

Different photo patterns based on user origin classification

The base for the following visualizations are two datasets: (1) 147 million worldwide photographs from Flickr, georeferenced between 2007 and 2015, and (2) 415,000 user locations (from 1.3 million total number of users), geocoded through the Bing Maps API. My original intention was to validate the location information that is provided by users on their […]

LVMF Analysis/ Flickr comparison

I recently conducted an analysis of vantage points in London that are protected by the London View Management Framework (LVMF). Shown in red are locations of photos that contain references (title/tags/description) to view/vantage point/skyline/’over london’/’of london’ etc. For some vantage points, a strong correlation exists between Flickr photos and the LVMF protected viewing location (Primrose Hill summit, […]

Visualizations of globally georeferenced Flickr photos

Over two years and no update or blog entry! I thought this would be a good start to add some content to this site. The maps below are visualizations of geotagged photos uploaded to Flickr between 2007 to 2015 and geotagged with the highest location accuracy (streetlevel accuracy). I generated a number of different visualizations. […]