Data for PhD thesis: Statistical mapping and modelling of urban flood using social media data

DOI

Data underlying a PhD thesis entitled Statistical mapping and modelling of urban flood using social media data.

Identifier
DOI https://doi.org/10.17026/PT/SX02LX
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/PT/SX02LX
Provenance
Creator Y. Li ORCID logo
Publisher DANS Data Station Physical and Technical Sciences
Contributor Yao Li (Sofia); Alfred Stein; Frank Osei; A. Stein; F.B. Osei
Publication Year 2025
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact Yao Li (Sofia) (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente); Alfred Stein (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente); Frank Osei (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente)
Representation
Resource Type tiff; Dataset
Format text/xml; image/tiff; text/x-fixed-field; application/octet-stream; application/x-director; application/vnd.openxmlformats-officedocument.wordprocessingml.document; application/zipped-shapefile; text/plain
Size 357; 536829; 80; 576; 3040; 15175; 32; 301329276; 369841343; 986; 164; 369896589; 960; 308; 68330; 6180; 557; 561; 499; 1097; 341; 1092; 39157; 5; 27341; 114; 128; 1113; 180486; 148693432; 72692; 748
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Land Use; Natural Sciences