Observations and Measurements
Joey Scarr (Talk | contribs) (New page: Observations and Measurements refers to a group of analysis patterns from Martin Fowler 1997. These patterns apply to computer systems that record information about objects in the real...) |
Nelson Shaw (Talk | contribs) |
||
| Line 4: | Line 4: | ||
When recording measurements in a computer system, the simplest way is to store the data as a numerical attribute on a class. However, it isn't meaningful to measure something by a number only - there must also be a unit present for the quantity to have any significance. This obvious "clump" of data (see the [[Data clumps smell]]) implies that the two fields should be factored out into a new class. | When recording measurements in a computer system, the simplest way is to store the data as a numerical attribute on a class. However, it isn't meaningful to measure something by a number only - there must also be a unit present for the quantity to have any significance. This obvious "clump" of data (see the [[Data clumps smell]]) implies that the two fields should be factored out into a new class. | ||
| + | |||
| + | == Standard == | ||
| + | |||
| + | A specific [[Open Geospatial Consortium | http://en.wikipedia.org/wiki/Open_Geospatial_Consortium]] | ||
[[Category:Analysis Patterns]] | [[Category:Analysis Patterns]] | ||
Revision as of 04:38, 18 October 2010
Observations and Measurements refers to a group of analysis patterns from Martin Fowler 1997. These patterns apply to computer systems that record information about objects in the real world. The typical way of doing this is by recording each piece of information as an attribute of an object. However, this is not always an ideal solution, and these design patterns are intended to provide better solutions by factoring out data into objects.
Quantity
When recording measurements in a computer system, the simplest way is to store the data as a numerical attribute on a class. However, it isn't meaningful to measure something by a number only - there must also be a unit present for the quantity to have any significance. This obvious "clump" of data (see the Data clumps smell) implies that the two fields should be factored out into a new class.
Standard
A specific http://en.wikipedia.org/wiki/Open_Geospatial_Consortium
