Modeling of population distribution in space and time to support disaster risk management

These data include geospatial data for each of the 5 chapters/articles comprising a PhD thesis, enabling reproduction of population exposure analyses.

Identifier
DOI https://doi.org/10.17026/dans-2b8-fuw4
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-4t-iozm
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:184290
Provenance
Creator Freire, S. (ORCID: 0000-0003-2282-701X)
Publisher Data Archiving and Networked Services (DANS)
Contributor Freire, S.; dr. S. Freire (Sergio Freire)
Publication Year 2020
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/publicdomain/zero/1.0; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Representation
Resource Type Dataset
Format Esri GRID, shapefile, Winword doc; application/x-cmdi+xml
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences
Spatial Coverage Lisbon Metropolitan Area, Portugal