Open geodata, GI-software und science am Beispiel einer räumlichen COVID-Studie

Category

Translated title:

Open geodata, GI-software and science on the example of a spatial COVID study (English)

Published in:

FOSSGIS 2023 : Anwenderkonferenz für Freie und Open Source Software für Geoinformationssysteme, Open Data und OpenStreetMap
(2023), p. 176

URN:

urn:nbn:de:0307-20231011-003-3

DOI:

10.48711/20231011-003

Language:

German

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 176, 44,39 kB) : 1 Textdatei (PDF)

Keywords:

Raum-zeitliche Analysen; raum-zeitliche Modelle; Open Science^GND; Open Data^GND; Open geodata; FAIR data principles^GND; COVID-19^GND; Pandemie^GND; räumliche COVID-Studie; Datenschutz^GND; Open Source^GND; Open GI-software; QGIS; Python <Programmiersprache>^GND; R <Programmiersprache>; Shiny <software>; Open Access^GND; spatio-temporal analyses; spatio-temporal models; pandemic; spatial COVID study; data security; Python <computer program language>; R <computer program language>

Geographic:

Berlin-Neukölln^GND

Geographic coordinates:

13.45000 52.48333

OpenStreetMap

DDC subject of DNB:

520 Astronomy & allied sciences

Link to Context:

https://pretalx.com/fossgis2023/talk/GYR3PQ/

Link to Context:

https://doi.org/10.5446/61157

Hosting institution:

Humboldt-Universität zu Berlin

Statement of responsibility:

Tobia Lakes

Bibliographic notes:

Conference presentation: https://pretalx.com/fossgis2023/talk/GYR3PQ/

Bibliographic notes:

Video of the presentation (TIB AV-Portal): https://doi.org/10.5446/61157