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Georeferencing for Research Use: Difference between revisions
Georeferencing for Research Use (view source)
Revision as of 16:51, 14 February 2017
, 14 February 2017→Workshop Objectives:
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Best practices for field collection of data (locality strings and GPS units, precision, datum) <br> | Best practices for field collection of data (locality strings and GPS units, precision, datum) <br> | ||
Best practices for georeferencing of legacy data given:<br> | Best practices for georeferencing of legacy data given:<br> | ||
*Varied research requirements for precision<br> | |||
*Project and collection management limitations<br> | |||
*Uncertainty data -, polygon vs. point radius, description etc.<br> | |||
*Datum - georectify to standard or verbatim<br> | |||
Workflows for incorporating data into different collections databases <br> | Workflows for incorporating data into different collections databases & data base limitations <br> | ||
Best practice syntax in locality descriptions for use in automation vs verbatim strings<br> | Best practice syntax in locality descriptions for use in automation vs verbatim strings<br> | ||
Multiple geopoint values and storage (verbatim, automated-non-vetted value, georef to nearest named place, update to more accurate value, etc.)<br> | Multiple geopoint values and storage (verbatim, automated-non-vetted value, georef to nearest named place, update to more accurate value, etc.)<br> | ||
Downloading datasets - sources, different mechanisms<br> | Downloading datasets - sources, different mechanisms<br> | ||
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Uncertainty data - availability in data sources and interpretation<br> | Uncertainty data - availability in data sources and interpretation<br> | ||
Tools for aggregating, cleaning, visualizing and analyzing data<br> | Tools for aggregating, cleaning, visualizing and analyzing data<br> | ||
e.g. R, QGIS<br> | *e.g. R, QGIS<br> | ||
Creating maps<br> | Creating maps<br> | ||
Spatial analyses<br> | Spatial analyses<br> | ||