Swings and Silicon Roundabouts
Did the Tech City cluster programme actually help East London tech firms? Let’s find out.Continue reading on The Startup »
Continue reading »The latest outputs from researchers, alumni and friends at the UCL Centre for Advanced Spatial Analysis (CASA).
Did the Tech City cluster programme actually help East London tech firms? Let’s find out.Continue reading on The Startup »
Continue reading »My PechaKucha talk at DataBeers : “Visualizing Geolocated Tweets: a Spatial Data Mining Approach”.
This time I’m at the Workshop: “Data Visualization from Different Universes”, presenting some work regarding the visualization of Tweets, using a combination of machine learning and GIS.
The imminent UK General Election is fascinating for a host of reasons, not least because of the challenge to the long established dominance of the two main parties, Conservatives and Labour. Their share of the vote has been steadily in decline for over 50 years, from a high of 97% in 1951 to 65% in 2010-…
On a previous post, I expressed my concerns regarding the results of OPTICSxi clustering. Namely, I mentioned an “annoying” spike effect, that turns out massively almost at any simulation (so massively that it is almost a “feature”). A post in … Continue reading →
For a while now, I have been working on the application of the OPTICS clustering, for user generated data in cities. OPTICS is a density-based algorithm that attempts to overcome some of the “weaknesses” of its most famous counterpart: DBSCAN. … Continue reading →
Recently I have been looking into different algorithms for the clustering geospatial data. The problem of finding “similar” regions in space, is a very interesting one, since this type of classification enables a whole range of applications (e.g.: urban development, … Continue reading →
I have spent the last few years investigating the geography of family names (also called surnames). I work with the team who assembled the UCL Department of Geography Worldnames Database that contains the names and geographic locations of over 300 million people in nearly 30 countries (a few of these are yet to be added to the website). My research has …
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