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Georeferencing for Research Use: Difference between revisions
Georeferencing for Research Use (view source)
Revision as of 16:54, 14 February 2017
, 14 February 2017→Workshop Objectives:
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Basic georeferencing how-to<br> | Basic georeferencing how-to<br> | ||
''During workshop''<br> | ''During workshop''<br> | ||
Data standards, DwC terminology and fields (e.g. lat, long, datum), differences among disciplines (neo- and paleontological fields) | Data standards, DwC terminology and fields (e.g. lat, long, datum), differences among disciplines (neo- and paleontological fields) | ||
Georeferencing toolkit and workflow examples ( | Georeferencing toolkit and workflow examples (GEOLocate, maps, other resources, pros and cons) | ||
Best practices for field collection of data (locality strings and GPS units, precision, datum) | Best practices for field collection of data (locality strings and GPS units, precision, datum) | ||
Best practices for georeferencing of legacy data given: | How best to record and store georeferencing notes and other data sources (database/CMS dependant) | ||
*Varied research requirements for precision | Best practices for georeferencing of legacy data given: | ||
*Project and collection management limitations | *Varied research requirements for accuracy and precision | ||
*Uncertainty data - | *Project and collection management limitations | ||
*Datum - georectify to standard | *Uncertainty data - polygon vs. point radius, description and metadata, etc. | ||
Workflows for incorporating data into different collections databases | *Datum - georectify to a standard versus verbatim | ||
Best practice syntax in locality descriptions for use in automation vs verbatim strings | Workflows for incorporating data into different collections databases | ||
Multiple geopoint values and storage (verbatim, automated-non-vetted value, | *Best practice syntax in locality descriptions for use in automation vs verbatim strings | ||
Downloading datasets - sources, different mechanisms | *Database limitations | ||
Assessing data quality | *Multiple geopoint values and storage (verbatim, automated-non-vetted value, nearest named place, update to more accurate value, etc.) | ||
Uncertainty data - availability in data sources and interpretation | Downloading datasets - sources, different mechanisms | ||
Tools for aggregating, cleaning, visualizing and analyzing data | *Assessing data quality | ||
* | *Uncertainty data - availability in data sources and interpretation | ||
Creating maps | Tools for aggregating, cleaning, visualizing and analyzing data | ||
Spatial analyses | *R, QGIS, OpenRefine | ||
Automated tools using | *Creating maps | ||
Difficult cases, such as geopolitically fluid locations over time, offshore localities | *Spatial analyses | ||
Hands-on practice & case studies | *Automated, online tools and applications using geospatial data (e.g. LifeMapper) | ||
Difficult cases, such as geopolitically fluid locations over time, offshore localities | |||
Hands-on practice & case studies | |||