Panama’s Population Geographies

Panama is a Central American country with around 4 million population. The country is split into 10 provinces (including one that was split from another in 2014). The population is obliged to register for and obtain an ID card, or “cedula” which contains an interesting attribute. The prefix of their ID number indicates their province … Continue reading Panama’s Population Geographies

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Big Data Here: The Code

So Big Data Here, a little pop-up exhibition of hyperlocal data, has just closed, having run continuously from Tuesday evening to this morning, as part of Big Data Week. We had many people peering through the windows of the characterful North Lodge building beside UCL’s main entrance on Gower Street, particularly during the evening rush … Continue reading Big Data Here: The Code

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Behind the Code in TubeHeartbeat

As a follow-up to my intro post about TubeHeartbeat, here’s some notes on the API usage that allowed me to get the digital cartography right, and build out the interactive visualisation I wanted to. The key technology behind the visualisation is the HERE JavaScript API. This not only displays the background HERE map tiles and … Continue reading Behind the Code in TubeHeartbeat

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GeoComputation: A Practical Primer

GeoComputation: A Practical Primer, edited by Profs Chris Brunsdon and Alex Singleton, has just been published by SAGE. The book acts both as a reference guide to the field and as a guide to help you get to know aspects of it. Each chapter includes a worked example with step-by-step instructions. Each chapter has a … Continue reading GeoComputation: A Practical Primer

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OpenLayers 3 and Vector Data

As part of a project to move most of my OpenLayers 2-powered websites to OpenLayers 3, I have recently converted two more – DataShine: Travel to Work Flows and the North/South Interactive Map. Unlike the main DataShine: Census website, both of these newer conversions include vector geospatial data, so there was additional learning involved during … Continue reading OpenLayers 3 and Vector Data

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Borough Tops

The Diamond Geezer is, this month, climbing the highest tops in each one of London’s 33 boroughs. To find the highest points, he’s used a number of websites which list the places. These derive the data from contour lines, perhaps supplemented with GPS or other measurements. However, another interesting – and new – datasource for […]

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