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3rd Annual Digital Data Conference, Yale: Difference between revisions
3rd Annual Digital Data Conference, Yale (view source)
Revision as of 14:42, 2 May 2019
, 2 May 2019→Tuesday, 11 June 2019
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| colspan="1" style="vertical-align:top;"|10:30 | | colspan="1" style="vertical-align:top;"|10:30 | ||
| colspan="2" style="vertical-align:top; background-color:#FFF8DC;"| | | colspan="2" style="vertical-align:top; background-color:#FFF8DC;"|Robert McGuinn<br>Northern Gulf Institute (a NOAA Cooperative Institute) | ||
| colspan="2" style="vertical-align:top;"| | | colspan="2" style="vertical-align:top;"|Analyzing and visualizing specimen-based and related digital data | ||
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| colspan="1" style="vertical-align:top;"|10: | | colspan="1" style="vertical-align:top;"|10:50 | ||
| colspan="2" style="vertical-align:top; background-color:#FFF8DC;"| | | colspan="2" style="vertical-align:top; background-color:#FFF8DC;"|Ingrid Romero<br>University of Illinois at Urbana- Champaign | ||
| colspan="2" style="vertical-align:top;"| | | colspan="2" style="vertical-align:top;"|Identification of the Cenozoic pollen morphospecies Striatopollis catatumbus (Amherstieae, Fabaceae) using convolutional neural nets | ||
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|colspan="1" style="vertical-align:top;"|11: | |colspan="1" style="vertical-align:top;"|11:10 | ||
|colspan="2" style="vertical-align:top; background-color:#FFF8DC;"| | |colspan="2" style="vertical-align:top; background-color:#FFF8DC;"|Katelin Pearson<br>Cal Poly University<br>San Luis Obispo | ||
|colspan="2" | | |colspan="2" |Working smarter, not harder: more precise (phenological) data are not always better | ||
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| colspan="1" style="vertical-align:top;"| | | colspan="1" style="vertical-align:top;"|11:30 | ||
| colspan="2" style="vertical-align:top; background-color:#FFF8DC;"| | | colspan="2" style="vertical-align:top;" background-color:#FFF8DC;"|Stephen J. Murphy<br>Missouri Botanical Garden | ||
| colspan="2" style="vertical-align:top;| | | colspan="2" style="vertical-align:top;"|A protocol for linking georeferenced locality information to high resolution spatial polygons data: a method for incorporating spatial uncertainty into biodiversity models | ||
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