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The problem
Natural history museum collection databases typically contain geospatial
coordinates (latitude-longitude or UTM) for less than five percent (5%)
of their specimens. Instead, most specimen localities, especially historical
data, are in textual format,i.e., "2 mi S of Bakersfield." Without
spatial coordinates these data are effectively unavailable to geospatial
analyses, whether simple mapping or distribution modeling.

The process of deriving spatial coordinates from textual locality descriptions
can be called retrospective georeferencing. Retrospective georeferencing
can be quite laborious, requiring the interpretation of antiquated and
often imprecise textual locality descriptions into latitude and longitude
coordinates. This conversion of a vague locality description into a single
subjective point creates the problem of false precision, often to a scientifically
unacceptable degree. On the positive side, it is a process that only needs
to be done once.
To date,
different methods have been used for retrospective georeferencing, including
automated gazetteer lookups and software packages that identify latitude
and longitude on basemaps (such as MapTech’s Terrain Navigator).
Since these methods involve the subjective placement of a single (x,y)
location point by the user, they entail differing degrees of overgeneralization,
false precision, and time spent. The California Academy of Sciences (CAS)
has developed a georeferencing tool that facilitates the same process,
using desktop ArcView GIS software.
The project
This site describes the California Academy of Sciences' ongoing retrospective
georeferencing project, and provides a downloadable version of our georeferencing
tool designed as an extension to ArcView 3.2 software.
The tool provides an interface for the retrospective georeferencing process.
Via ArcView 3.2 software, it enables a user to display a filtered and
sorted list of textual localities in a table floating over a digital base
map. The user then can select a single locality from the displayed list
and draw its "footprint" as a spatial object. When the user
is satisfied with the footprint's shape and position, it is saved as a
spatial object in a separate locality (GIS) database.

These shapes, stored in ArcView’s shapefile format, are used to derive
two values: the centroid of the shape expressed as latitude and longitude
in decimal degrees, and the shape’s span. The span provides a quantitative
expression of the textual locality’s vagueness; imprecise localities will
tend to be drawn with large shapes having large spans, and precise localities
will tend to be drawn with smaller shapes having smaller spans. This relative
measure improves on other methods of expressing coordinates’ precision
levels as subjective categories.
Overall, this tool improves on previous retrospective georeferencing methods
by a) increasing speed, b) maximizing consistency between users, c) allowing
incorporation of interpretation standards established by collection managers,
and d) quantifying textual localities’ vagueness.
Two downloads of the tool are available;
one as a project set up with sample base maps and sample locality data,
allowing exploration of the tool. The tool is also downloadable without
base maps, allowing users to set up customized projects for geographic
areas of interest.
We are interested in feedback regarding this georeferencing tool. Please
contact Stan Blum at the California
Academy of Sciences for more information or with comments.
©2001 California
Academy of Sciences
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