BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//www.bayceer.uni-bayreuth.de//NONSGML kigkonsult.se iCalcreator 2.41.92//
CALSCALE:GREGORIAN
METHOD:PUBLISH
UID:61353736-6130-4132-b164-616263363433
X-WR-CALNAME:BayCMS-Export
X-WR-CALDESC:This is a calendar exported from BayCMS
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VTIMEZONE
TZID:Europe/Berlin
TZUNTIL:20240331T010000Z
BEGIN:STANDARD
TZNAME:CET
DTSTART:20211031T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20221030T030000
RDATE:20231029T030000
END:STANDARD
BEGIN:DAYLIGHT
TZNAME:CEST
DTSTART:20220327T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RDATE:20230326T020000
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:www.bayceer.uni-bayreuth.de-bayceer-t164900id
DTSTAMP:20260907T061934Z
DESCRIPTION:The question under which circumstances some statistical operati
 on is valid\,i.e.\, rightfully applicable to geographic information for a 
 given purpose\, isnot only crucial for understanding and correctly applyin
 g statistics to spatialdata\, it is also a major bottleneck in automating 
 data science in Geographyand the Geosciences. Conceptual models of geograp
 hic information arerequired for both handling geodata resources as well as
  geographic ques-tion answering (geoQA). In this talk\, I argue that we ne
 ed better modelsof quantities in spatial information. I present a novel th
 eory of geographicamounts that can be used to classify data sources and to
  constrain possibledata transformations to those valid for a certain purpo
 se.\nFurther information:www.geographie.uni-bayreuth.de/de/Veranstaltungen
 /GIB-Lecture-Series/index.html
DTSTART;TZID=Europe/Berlin:20220503T161500
DTEND;TZID=Europe/Berlin:20220503T174500
LOCATION:INF/ AI\, H33 + online
SUMMARY:Dr. Simon Scheider\, Utrecht University: Valid statistics with amou
 nts in geographic information
TRANSP:TRANSPARENT
END:VEVENT
END:VCALENDAR