An Open-Source Workflow for Spatiotemporal Studies with COVID-19 as an Example

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datacite.relatedItem.firstPage13
datacite.relatedItem.issue1
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume11
dc.contributor.authorAnusha Srirenganathan Malarvizhi
dc.contributor.authorQian Liu
dc.contributor.authorDexuan Sha
dc.contributor.authorHai Lan
dc.contributor.authorChaowei Yang
dc.date.accessioned2025-05-14T13:25:22Z
dc.date.available2025-05-14T13:25:22Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/ijgi11010013
dc.identifier.otherjz000147-0012
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23234
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleAn Open-Source Workflow for Spatiotemporal Studies with COVID-19 as an Example
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23235
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