BEGIN:VCALENDAR
PRODID:Geodätisches Kolloquium
VERSION:2.0
X-WR-CALNAME:Geodätisches Kolloquium
NAME:Geodätisches Kolloquium
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X-PUBLISHED-TTL:PT12H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
TZURL:http://tzurl.org/zoneinfo-outlook/Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
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TZOFFSETFROM:+0100
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DTSTART:19700329T020000
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TZOFFSETTO:+0100
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DTSTART:19701025T030000
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BEGIN:VEVENT
UID: 63103
DTSTAMP:20261018T143457Z
SUMMARY:Multi-Criteria Evaluation – The Unicorn Among Geospatial Analytics
 Methods?
X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 
 3.2//EN"><HTML><HEAD><TITLE></TITLE></HEAD><BODY>Multi-Criteria 
 Evaluation &ndash; The Unicorn Among Geospatial Analytics 
 Methods?<br>Findet digital statt., Informationen auf: 
 https://www.gik.kit.edu/<br><br><p>In the traditional geomatics 
 workflow, we emphasize data accuracy, objectivity, and error 
 minimization. However, the transition from geospatial data to 
 information and insights requires a methodological leap that many 
 analytical frameworks fail to bridge. Multi-Criteria Evaluation (MCE) 
 occupies a unique position in this landscape, synthesizing quantitative 
 input data with the fluid, qualitative priorities of human 
 decision-makers. This presentation explores the Ordered Weighted 
 Averaging (OWA) technique as an example of this normative approach. By 
 analyzing the sensitivity of outcomes to varying parameter settings, we 
 demonstrate that MCE is not merely a tool for geospatial analytics but a 
 sophisticated platform for scenario modeling and conflict resolution. 
 The session concludes with a discussion of the subjectivity paradox: how 
 geomatics professionals can maintain scientific integrity while 
 incorporating value judgments in their analyses. </p><br></BODY></HTML>
DESCRIPTION: Multi-Criteria Evaluation – The Unicorn Among Geospatial
 Analytics Methods?\nFindet digital statt., Informationen auf:
 https://www.gik.kit.edu/\n\n<p>In the traditional geomatics workflow, we
 emphasize data accuracy, objectivity, and error minimization. However,
 the transition from geospatial data to information and insights requires
 a methodological leap that many analytical frameworks fail to bridge.
 Multi-Criteria Evaluation (MCE) occupies a unique position in this
 landscape, synthesizing quantitative input data with the fluid,
 qualitative priorities of human decision-makers. This presentation
 explores the Ordered Weighted Averaging (OWA) technique as an example of
 this normative approach. By analyzing the sensitivity of outcomes to
 varying parameter settings, we demonstrate that MCE is not merely a tool
 for geospatial analytics but a sophisticated platform for scenario
 modeling and conflict resolution. The session concludes with a
 discussion of the subjectivity paradox: how geomatics professionals can
 maintain scientific integrity while incorporating value judgments in
 their analyses. </p>\n
DTSTART;TZID=Europe/Berlin:20261126T161500
DTEND;TZID=Europe/Berlin:20261126T171500
LOCATION:Findet digital statt., Informationen auf:
 https://www.gik.kit.edu/
END:VEVENT
BEGIN:VEVENT
UID: 63104
DTSTAMP:20261018T143457Z
SUMMARY:From 3D Points to Objects: Semantic and Instance Segmentation of
 Airborne LiDAR Point Clouds
X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 
 3.2//EN"><HTML><HEAD><TITLE></TITLE></HEAD><BODY>From 3D Points to 
 Objects: Semantic and Instance Segmentation of Airborne LiDAR Point 
 Clouds<br>Findet digital statt., Informationen auf: 
 https://www.gik.kit.edu/<br><br></BODY></HTML>
DESCRIPTION: From 3D Points to Objects: Semantic and Instance
 Segmentation of Airborne LiDAR Point Clouds\nFindet digital statt.,
 Informationen auf: https://www.gik.kit.edu/\n\n
DTSTART;TZID=Europe/Berlin:20261203T161500
DTEND;TZID=Europe/Berlin:20261203T171500
LOCATION:Findet digital statt., Informationen auf:
 https://www.gik.kit.edu/
END:VEVENT
END:VCALENDAR