Tag: dslocalgov
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Survey: State of the Art of Data Science in Local Government
30 October 2017
Author:The Data Science for Local Government project seeks to map and understand the use of both novel data analysis techniques and novel data sources in local governments across Europe. ...
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Estimating local commuting patterns from geolocated Twitter data
25 October 2017
Author:Over the last decade or so there has been an explosion of research interest in the area of measuring (and forecasting) of traffic and commuting patterns. Part of this ...
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A simple trick for drawing pseudo-geographical networks
21 July 2016
Author:Graham McNeill
Not all networks have geographic information (e.g., friendship networks, hyperlink networks, etc.). However, for networks that do have geographic data (such as networks of commuting or migration), geography can ...
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Visualizing network data
11 April 2016
Author:Released in 2012, the sigma.js plugin for Gephi allows for the interactive display of network data in a web browser using open-source technologies, principally sigma.js. The HTML framework and ...
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Social and Open Data Sources and Visualisation Methods for Urban Decision Making
2 February 2016
Author:One of the deliverables from the UrbanData2Decide project has just been published on the project website. It’s a report on social and open data sources and visualisation methods for ...
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Smart cities and collaborative mapping tools
1 February 2016
Author:The UrbanData2Decide project has partly been about getting to know local government administrators and understanding more about the types of data related challenges they face when policymaking. One common ...
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The changing nature of big data sources as a barrier to smart city implementation
27 January 2016
Author:Twitter is going to be a major data source for the NEXUS project, as it is for almost every other project studying social media data. Twitter is extraordinarily generous in ...
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Mapping human mobility with social media data
12 January 2016
Author:One of the key aims of the NEXUS project is to explore the extent to which human mobility patterns (e.g. commuting, tourism, migration) can be effectively mapped using social media ...
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