The latest outputs from researchers, alumni and friends at the UCL Centre for Advanced Spatial Analysis (CASA).
The eMOTIONAL Cities project has set out to understand how the natural and built environment can shape the feelings and emotions of those who experience it. At its core lies a Spatial Data Infrastructure (SDI) which combines a variety of … Continue reading
Continue reading »In the past we had posted on models of radicalization, but such models were rather abstract. Building on this previous work Brandon Shapiro and myself have a new paper entitled “Drone Strikes and Radicalization: An Exploration Utilizing Agent-Bas…
Continue reading »In the past we had posted on models of radicalization, but such models were rather abstract. Building on this previous work Brandon Shapiro and myself have a new paper entitled “Drone Strikes and Radicalization: An Exploration Utilizing Agent-Bas…
Continue reading »As a reaction to the record high of fuel prices, the Portuguese government has updated the IVAucher program, to allow each citizen to recover 10 cents per each liter of fuel spent, up to a maximum of 5 EUR/month. This … Continue reading →
Continue reading »As a reaction to the record high of fuel prices, the Portuguese government has updated the IVAucher program, to allow each citizen to recover 10 cents per each liter of fuel spent, up to a maximum of 5 EUR/month. This … Continue reading →
Continue reading »As a reaction to the record high of fuel prices, the Portuguese government has updated the IVAucher program, to allow each citizen to recover 10 cents per each liter of fuel spent, up to a maximum of 5 EUR/month. This … Continue reading →
Continue reading »As a reaction to the record high of fuel prices, the Portuguese government has updated the IVAucher program, to allow each citizen to recover 10 cents per each liter of fuel spent, up to a maximum of 5 EUR/month. This … Continue reading →
Continue reading »The other day, Alison Heppenstall and myself were invited to give a keynote at the 2021 International Conference on Geospatial Information Sciences. Its not hard to guess what we chose to be the title of our talk: “GIS and Agent-Based-Modelling: Past, …
Continue reading »The other day, Alison Heppenstall and myself were invited to give a keynote at the 2021 International Conference on Geospatial Information Sciences. Its not hard to guess what we chose to be the title of our talk: “GIS and Agent-Based-Modelling: Past, …
Continue reading »In the past we had posted on models of radicalization, but such models were rather abstract. However in a recent paper entitled “Kinetic Action and Radicalization: A Case Study of Pakistan” which was presented at the International Conferenc…
Continue reading »In the past we had posted on models of radicalization, but such models were rather abstract. However in a recent paper entitled “Kinetic Action and Radicalization: A Case Study of Pakistan” which was presented at the International Conferenc…
Continue reading »Continuing our work on bots, Ross Schuchard and myself have a new paper in PLOS ONE entitled “Insights into elections: An ensemble bot detection coverage framework applied to the 2018 U.S. midterm elections.” Our motivation for the work came from…
Continue reading »Continuing our work on bots, Ross Schuchard and myself have a new paper in PLOS ONE entitled “Insights into elections: An ensemble bot detection coverage framework applied to the 2018 U.S. midterm elections.” Our motivation for the work came from…
Continue reading »In the past we have written extensively on Volunteered Geographic Information (VGI) such as OpenStreetMap or Twitter. However, we have not really explored Street View Imagery (SVI), well not until now. Within the realm of VGI, SVI has emerged in …
Continue reading »In the past we have written extensively on Volunteered Geographic Information (VGI) such as OpenStreetMap or Twitter. However, we have not really explored Street View Imagery (SVI), well not until now. Within the realm of VGI, SVI has emerged in …
Continue reading »I have always dreamed about doing some contribution towards improving the gender balance in technology, which as you may know, is far from ideal. Fortunately the opportunity arose, when Katrina Walker has invited me to teach the “Data Analytics” bootcamp … Continue reading →
Continue reading »Urban and slum areas in Nairobi (False composite image created by stacking image bands 7, 6 and 4 from the Landsat 8 satellite.Turning back to slums, we just published paper entitled “Detecting and Mapping Slums using Open Data: A Case Study in Kenya”…
Continue reading »Urban and slum areas in Nairobi (False composite image created by stacking image bands 7, 6 and 4 from the Landsat 8 satellite.Turning back to slums, we just published paper entitled “Detecting and Mapping Slums using Open Data: A Case Study in Kenya”…
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.
My presentation on the “Conference on Advanced Spatial Modelling and Analysis” consisted in some thoughts regarding Big Spatial Data, and how to handle them in terms of modern technologies. It was great to see such a motivated crowd from all … Continue reading →
Recently I had another challenge, which I believe has the characteristics to be a common problem. I have a table with attributes, in CSV format, one of which is geospatial. CSV is a structured format for storing tabular data (text … Continue reading →
Inspired by @jeroenhjanssens, author of the Data Science Toolbox, I decided to give a go to one of the most unfriendly data sources: An XML API. Apart from its rich syntax with query capabilities, I tend think XML is highly … Continue reading →
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 →
Telecommunication companies are sitting on a gold mine. With the prevalence of mobile devices in our every day life, for example reports from Google IO are that 400 million Android devices have been activated at a rate of 1,000,000 activations per day, the data that we generate as a collective group is phenomenal. Phone companies […]
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IBM have been on the forefront of Big Data research for the last few years. Last year Watson beat 2 human competitors in a game of Jeopardy by making links between data and reasoning what the correct answer would be in fractions of a second. Now the hardware scientists are at it again. Mira, the […]
Continue reading »London 2012 is only 1 year away! This is an exciting time for London and the UK in general. The new stadiums are nearly complete and most of the tickets for the events have already been sold. Hopefully if you applied for a ticket you got one! Behind the scenes here at BigDataToolKit and at […]
Continue reading »Harvesting the crowd is such a large and complex process but we can learn some interesting events happening just from looking at Geo-located Tweets. This seminar concentrates on what we sense we can make from the collective tweets of a city. Slides from seminar given to Oxford DTC e-Research Center, Oxford University, Jun 2011
Continue reading »We have been working hard here at CASA lately, building tools to collect, analyse and visualise different data sets from all over the web. One piece of software that has proven quite popular over the past few months is our internal Twitter Collector. The collector mines Twitter for tweets inside a geographical radius either with […]
Continue reading »The Tweet-o-Meters are spreading! In association with JISC and the British Library’s Growing Knowledge exhibition we have installed nine custom built Tweet-o-Meters that update every 5 seconds. It is a great honor to see something that you built in a few nights get taken up by the biggest library in the UK. Ben and I […]
Continue reading »We are sharing a lof of data online everyday as part of our online activity. A lot of it is passive information that is required for the services we use. Increasingly there is however, also an increasing amount of actively shared personal information, …
Continue reading »My newest creation into crowd sourcing this week has launched, the Tweet-o-Meter! Tweet-o-Meter shows twitter traffic from different cities around the world and allows you to see which city tweets the most. We are mining the data for later analysis to and are currently in the process of mapping the data. It’s all very exciting. […]
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