Class Name: Irregular Axis

Superclass - Axis

Definition

An Axis that does not use a constant spacing between hash marks.

Primary Page in DRM Diagram:

• 6

Example

1. Data taken at times 1, 2, 5, 10, 50, and 100 seconds after some start time would be collected on an Irregular Axis.

   Radiosonde data, including temperature, humidity, wind speed, and wind direction, is generally reported as a function of pressure height. Data are reported only when there is a significant change in one of the dependent variables. Accordingly, the pressure heights are captured at unpredictable, irregular intervals. They are best captured in an Irregular Axis.

FAQs

How should values in an Irregular Axis be arranged?

Values in an Irregular Axis must be arranged in ascending order.

If I am missing a few values from a regular sequence, should I use an Irregular Axis?

It depends how many values are missing. If there are only one or two values missing from a long regular sequence, it may be preferable to use a Regular Axis and mark the missing data points with the appropriate Property Characteristic.

My data was taken on an irregular set of points on a surface. Should I use Irregular Axes to indicate the 2-dimensional locations of these points?

If the data were truly irregular, which is to say that there is only one point at each x-value and only one point at each y-value, do not use irregular x- and y-axes. Instead, use a single regular axis to give each point an index and make the x- and y-values dependent variables.

On the other hand, if the points are not quite that irregular, but rather data were taken at each (or most) combination of x- and y-values, irregular axes may be appropriate. This would mean that the data really did form a grid.

Constraints

Component of (one-way)(inherited)

• optionally, some Property Grids
• optionally, some Property Tables

Inherited Field Elements

Field Elements

Notes

Fields Notes

axis_type

 gives the type of measurement along the axis, such as distance,
 pressure, frequency, etc.

axis_unit

 specifies the unit of measurement of the axis_type

axis_value_count

 indicates the number of "hash marks" along the axis

interpolation_type

 allows the data supplier to indicate how best to interpolate
 the data to points that are in-between grid points on the axis.
 When a <Data Table> has more than one axis, the order of the
 interpolations is in the order of axis definitions.