Universität Wien

300170 VO Spatial analytic methods in Conservation Biology (2019S)

Introduction to GIS (GIS 1)

1.00 ECTS (1.00 SWS), SPL 30 - Biologie
Moodle

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Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

+++++ Preliminary meeting for the complete course will take place on March 5th at 9.30 am at SR, Rennweg 14+++++
ATTENTION: Attendence to the this lecture is compulsory for all participants of the practical UE, because all theory presented in this lecture is necessary to solve the proctical exercises!!!
Hence, the whole GIS1 course will start at 9.15 am, and including preperation of deliverables lasts till 5pm each day

  • Monday 25.03. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 26.03. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 27.03. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Thursday 28.03. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Friday 29.03. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Monday 01.04. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 02.04. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 03.04. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Thursday 04.04. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Friday 05.04. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG

Information

Aims, contents and method of the course

Theoretical concepts in GeoInformatics are discussed especiall in the context of Vegetation- and Landscape Ecology as well as Nature Conservation. The course is focused on Vector based Geodata:
-Data Acquisition and Integration
-Catography
-Analyses of spatial data
-Database Management
-Open Data

Assessment and permitted materials

Written exam

Minimum requirements and assessment criteria

Multiple choice test in Moodle.
Minimum of 60% has to be answerd correctly to pass the exam

Examination topics

whole content of lecture

Reading list

wird während des Kurses vorgestellt

Association in the course directory

MNB W-4, UF MA BU 01, UF MA BU 04

Last modified: Mo 07.09.2020 15:43