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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260605T041828Z
UID:00a842db-3db9-432a-88fb-b04e5e43642a
DTSTART;TZID=Canada/Eastern:20141120T040000
DTEND;TZID=Canada/Eastern:20141122T120000
DESCRIPTION:<html><ul><li>This event was exported from <a href="https://exp
 lora.alliancecan.ca/" target="_blank" rel="noopener"><strong>Explora</stro
 ng></a></li><li>The content provider for this event is: <a href="https://e
 xplora.alliancecan.ca/content_providers/sharcnet" target="_blank" rel="noo
 pener">SHARCNET</a></li><li><strong>Registration may be required for the e
 vent</strong>\, please visit the following URL to learn more: <a href="htt
 p://thespatiallab.org/geoworkshop" target="_blank" rel="noopener">http://t
 hespatiallab.org/geoworkshop</a></li></ul><hr><p>Interdisciplinary Worksho
 p on Geospatial Computing\, November 20 &amp\; 21\, 2014 at The Museum\, K
 itchener\, Ontario\, Canada. Geospatial data analysis is fundamental to a 
 number of fields: engineering\, environmental science\, agriculture\, soci
 ology\, economics\, to name a few. Collection through sensors\, storage an
 d tools for processing\, analyzing and visualizing spatial-data are growin
 g in number\, scope and user base. However\, tools and applications of geo
 spatial data are developed by many different communities both in academia 
 and industry and in many cases there is a gap in knowledge transfer across
  communities. Communities may be defined by field (e.g. geomatics\, geosta
 tistics\, remote sensing\, machine learning\, water resources\, etc.)\, by
  software platform/language (e.g. R\, Python\, specific GIS platforms\, et
 c.)\, or by region. This workshop aims to connect communities of geospatia
 l developers\, data scientists and consumers of analytical tools from indu
 stry and academia to interact\, share knowledge and forge new partnerships
 .</p></html>
LOCATION:Kitchener\, ON\, Canada
SUMMARY:Interdisciplinary Workshop on Geospatial Computing
URL;VALUE=URI:http://thespatiallab.org/geoworkshop
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