Data
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/48/5539d13f4a007&rft.title=PetaJakarta.org Major Open Data Collection – Twitter activity related to flooding in Jakarta, Indonesia&rft.identifier=http://dx.doi.org/10.4225/48/5539d13f4a007&rft.publisher=University of Wollongong&rft.description=Counts of geolocated tweets containing the word ‘flood’ or ‘banjir’ within the city of Jakarta, Indonesia for the 2014/2015 monsoon season. Counts were created within ‘RW’ municipal areas at hourly intervals, and include confirmed reports of flooding sent by members of the public to the @petajkt twitter account, as well as other unconfirmed tweets which match specified keywords. Keyword matching is based on substring pattern matching, and so can include tweets where a keyword is part of another word or hashtag.  &rft.creator=Dr Etienne Turpin&rft.creator=Dr Tomas Holderness&rft.creator=Etienne Turpin&rft.creator=Etienne Turpin&rft.creator=Tomas Holderness&rft.creator=Tomas Holderness&rft.date=1970&rft.coverage=106.686,-6.37262 106.686,-6.08885 106.974,-6.08885 106.974,-6.37262 106.686,-6.37262&rft_rights=Data is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License http://creativecommons.org/licenses/by-nc/4.0/&rft_subject=Geospatial Information Systems&rft_subject=ENGINEERING&rft_subject=GEOMATIC ENGINEERING&rft_subject=Social and Community Informatics&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=LIBRARY AND INFORMATION STUDIES&rft_subject=Mobile Technologies&rft_subject=DISTRIBUTED COMPUTING&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Non-Commercial Licence view details
CC-BY-NC

Data is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
http://creativecommons.org/licenses/by-nc/4.0/

Access:

Open view details

The Data can be downloaded using the SMART Metadata System

Full description

Counts of geolocated tweets containing the word ‘flood’ or ‘banjir’ within the city of Jakarta, Indonesia for the 2014/2015 monsoon season. Counts were created within ‘RW’ municipal areas at hourly intervals, and include confirmed reports of flooding sent by members of the public to the @petajkt twitter account, as well as other unconfirmed tweets which match specified keywords. Keyword matching is based on substring pattern matching, and so can include tweets where a keyword is part of another word or hashtag. 

Funding Scheme

This Project is an initiative of the Australian Government being conducted as part of the national Collaborative Research Infrastructure Strategy

Created: 2014-12-23 to 2015-03-01

Data time period: 2014-12-23 to 2015-03-01

This dataset is part of a larger collection

106.686,-6.37262 106.686,-6.08885 106.974,-6.08885 106.974,-6.37262 106.686,-6.37262

106.83,-6.230735