[LTER-im] measurmentScale/precision - what definition? how tohandle?
Matt Jones
jones at nceas.ucsb.edu
Mon Aug 4 10:47:29 PDT 2003
A short note on Barbara's two-fish-scales problem. This really begs the
question "what is an attribute?". I have always felt that an attribute
within a table should contain a set of values that can be analyzed
uniformly because they were measured using the same methods and
conditions. Barbara's example shows that some of her attributes
represent measurements that were taken using different methods, and even
different instruments. Thus, one might expect that the precision (and
other attribute properties) for her measurements is not constant, and
that some analyses may be sensitive to her different methods.
Personally, I think the right thing in this case is to represent this
data as two separate attributes, each of which uses a homogeneous set of
methods and instruments. If someone wants to combine the two attributes
together for a particular analysis, they can inspect the attribute
metadata (e.g., precision), and determine if it would be acceptable for
their particular analysis. Combining the measurements using different
methods together a priori gives the impression that they are homogeneous
and appropriate for all analytical purposes, which is clearly not the
case here.
Of course, this is probably inconvenient for the investigators who
collected the data and know it well. They probably understand the
limitations of the data and have a sense of the differences in precision
among the values. But, when representing the data for external
consumption (e.g., through EML and the web), it would probably be better
to be explicit about these details.
Matt
Tim Bergsma wrote:
> P.S. This doesn't solve Barbara's two-fish-scales problem. Alas! I
> fear it is unsolvable. Perhaps she should just report the worst of the
> two relevant precisions, or split the table.
--
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Matt Jones jones at nceas.ucsb.edu
http://www.nceas.ucsb.edu/ Fax: 425-920-2439 Ph: 907-789-0496
National Center for Ecological Analysis and Synthesis (NCEAS)
University of California Santa Barbara
Interested in ecological informatics? http://www.ecoinformatics.org
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