Transcript No Slide Title

c-squares - a new method for
representing, querying, displaying
and exchanging dataset spatial
extents
System concept and development by:
Tony Rees
Divisional Data Centre
CSIRO Marine Research, Australia
bounding rectangle
representation
actual sampling points (= true
dataset spatial extent)
gridded
representation of
same (=basis for
c-squares)
… expressible as string of cell
codes (labels)
e.g.
3013:497|3111:468|3111:478|3111:479|
3111:488|3111:489|3111:499|3112:122|
3112:123|3112:131|3112:132| (etc.)
+ can send to custom mapper
to generate map on-the-fly :
gridded
representation alone
(real example is at finer
resolution, i.e. 0.5 x 0.5 degree
squares)
spatial searching is then a text match process, e.g.:
does “3111:489” (or “3111:4”)
occur in the text string
3013:497|3111:468|3111:478|3111:479|3111:488|3111:489|3111:499|3112:122|
3112:123|3112:131|3112:132| (etc.)
The matching mechanism can be hidden from the user,
e.g. providing a point-and-click interface:
if c-squares references are explicit in www-displayed metadata, a
standard search engine can even be used to do the spatial searching:
c-squares representation is applicable to many dataset types, e.g. ...
administrative /
topographic
region
satellite swath
footprint
predicted species
distribution
c-squares website (www.marine.csiro.au/csquares/) gives more
information on ...
• c-squares rationale and specification v. 1
• c-squares nomenclature
• connecting to the c-squares mapper
• sample c-squares enabled metadata records
• on-line lat/long - to - c-squares converter
• example code for doing such conversions, in Java, ColdFusion, and
PL/SQL
• instructions for linking to the c-squares mapper
• demonstration materials (PPT presentation, explanatory poster)
• links to applications using c-squares including:
• CSIRO’s “MarLIN” and “CAAB” systems
• OBIS (USA)
• FishBase (International)