A cross-analysis framework for multi-source volunteered, crowdsourced, and authoritative geographic information: The case study of volunteered personal traces analysis against transport network data

A cross-analysis framework for multi-source volunteered, crowdsourced, and authoritative geographic information: The case study of volunteered personal traces analysis against transport network data

The paper discusses the need of a high-level query language to allow analysts, geographers and, in general, non-programmers to easily cross-analyze multi-source VGI created by means of apps, crowd-sourced data from social networks and authoritative geo-referenced data, usually represented as JSON da...

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Bibliographic Details
Main Authors: Gloria Bordogna, Steven Capelli, Daniele E. Ciriello, Giuseppe Psaila
Format: Article
Language:English
Published: Taylor & Francis Group 2018-07-01
Series:Geo-spatial Information Science
Subjects:
Cross-analysis framework
comparing VGI
crowd-sourced and authoritative geographical data
JSON data-sets
declarative query language
heterogeneous data-sets
Online Access:http://dx.doi.org/10.1080/10095020.2017.1374703

Internet

http://dx.doi.org/10.1080/10095020.2017.1374703

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