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- Statistical Area: Mobility statistics
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Collaborative A set of indices of accessibility and remotenessCost: FREE
Integrating non-official data sources with official statistical sources for different statistical indicators.
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Collaborative Aggregated Mobile Phone data to identify commuting patternsCost: FREE
Aggregated Mobile Phone data to identify commuting patterns
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Collaborative Big Data for the estimation of origin-destination mobility matricesCost: FREEUsing mobile phone data for the estimation of origin-destination mobility matrices Learn MoreBig Data for the estimation of origin-destination mobility matrices
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Service Code RespositoryCost: FREE
Central code repository for the UN Global Platform.
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Collaborative Daily migration of population: using mobile CDR data for daily migration dataCost: FREEUsing mobile CDR data for daily migration data Learn MoreDaily migration of population: using mobile CDR data for daily migration data
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Service Developers ServiceCost: FREE
Explore data, develop analytics and build applications securely on the Global Platform.
The Developers Service gives you access to code development and data exploration environments.
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Collaborative Dynamic Census ProjectCost: FREEEstimation of demographic attribute and human mobility at higher granularity using mobile phone data Learn MoreDynamic Census Project
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Service Earth ObservationCost: FREE
Advances in small satellite and remote sensing technology are revolutionising the Earth Observation industry. They are providing critical new sources of consistent, continuous data for atmospheric, ocean and land use studies at a range of spatial and temporal extents.
The Earth Observation Service provides a solution to the increasing need to distil the underlying data from the visual and hyper-spectral imagery generated by these technologies into actionable information.
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Collaborative Feasibility study on the use of mobile positioning data for tourism statisticsCost: FREEFeasibility study on the use of mobile positioning data for tourism statistics Learn MoreFeasibility study on the use of mobile positioning data for tourism statistics