PATTRN is a novel opened upwardly sourced conflict mapping platform developed past times Goldsmiths University. The PATTRN platform allows anyone to exercise an interactive map which tin last used to percentage in addition to collate first-hand reports inward conflict or crisis situations.
The platform was kickoff used past times Amnesty International inward final year's Gaza Platform. The platform was used past times Amnesty International to plot 2,700 attacks on Gaza past times State of Israel during the 2014 Gaza conflict. You tin too thought the PATTRN platform inward activity inward Fortress Europe, a mapped visualization of the Migrant Files information set, in addition to Political Violence inward Africa, a visualization of the ACLED information set.
The platform itself tin last downloaded from its GitHub repository. Once set-up PATTRN acts every 2d a information aggregator in addition to mapped visualization platform. Users of your PATTRN projection tin thence contribute information close events amongst infinite in addition to fourth dimension coordinates, in addition to to add together tags, media in addition to content to those events.
The submitted information is automatically visualized on an interactive map which provides access to all the data. The mapped visualization tin too include interactive charts in addition to filters which permit users to explore patterns inside the data.
Also see: Ushahidi
The platform itself tin last downloaded from its GitHub repository. Once set-up PATTRN acts every 2d a information aggregator in addition to mapped visualization platform. Users of your PATTRN projection tin thence contribute information close events amongst infinite in addition to fourth dimension coordinates, in addition to to add together tags, media in addition to content to those events.
The submitted information is automatically visualized on an interactive map which provides access to all the data. The mapped visualization tin too include interactive charts in addition to filters which permit users to explore patterns inside the data.
Also see: Ushahidi
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