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Part 1: Document Description
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Citation |
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Title: |
MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets |
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Identification Number: |
doi:10.11588/data/3GYJUG |
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Distributor: |
heiDATA |
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Date of Distribution: |
2018-04-16 |
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Version: |
1 |
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Bibliographic Citation: |
Herfort, Benjamin, 2018, "MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets", https://doi.org/10.11588/data/3GYJUG, heiDATA, V1 |
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Citation |
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Title: |
MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets |
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Identification Number: |
doi:10.11588/data/3GYJUG |
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Authoring Entity: |
Herfort, Benjamin (Institute of Geography, Heidelberg University) |
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Distributor: |
heiDATA |
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Access Authority: |
Herfort, Benjamin |
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Holdings Information: |
https://doi.org/10.11588/data/3GYJUG |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Crowdsourcing, Validation |
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Abstract: |
MapSwipe is a mobile crowdsourcing application designed for smartphones and tablets to generate geographic information from satellite imagery. Data from 55 projects containing more than nine million tasks and more than 30 million individual classification results contributed by about 7,500 users are covered by this dataset. Furthermore, reference datasets obtained manually and derived from OpenStreetMap are provided. |
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Time Period: |
2016-07-30-2017-07-25 |
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Country: |
Madagascar, Lao People's Democratic Republic, South Sudan, Botswana, Guatemala, Nigeria, Cambodia, Malawi, Sierra Leone, Chad, Guinea-Bissau |
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Kind of Data: |
Crowdsourced Classifications |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Herfort, B. (2018). Understanding MapSwipe: Analysing Data Quality of Crowdsourced Classifications on Human Settlements. |
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Identification Number: |
10.11588/heidok.00024257 |
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Bibliographic Citation: |
Herfort, B. (2018). Understanding MapSwipe: Analysing Data Quality of Crowdsourced Classifications on Human Settlements. |
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Label: |
global_datasets.zip |
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Notes: |
application/zip |
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Label: |
laos_datasets.zip |
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Notes: |
application/zip |
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Label: |
readme.txt |
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Notes: |
text/plain |
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Label: |
results.zip |
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Notes: |
application/zip |