DensityCalculator

Categories

Calculated Values

Determines the density of a group of Candidate features.

How does it work?

Density is a measurement of Candidate values per unit area. It is calculated as a numeric value; the greater the value, the more dense are the Candidate features.

The density equation is Total Candidates/Area of Interest.

Total Candidates is defined by either:

  • The total NUMBER of Candidate features
  • The sum LENGTH of Candidate features
  • The sum Area of Candidate features

Area of Interest is defined by the size of the first polygon feature that enters the Area input port.

Caution

It’s VERY important to note that ALL Candidate features count towards the density calculation, even if they fall outside the Area feature.

In other words, this transformer does not test whether or not candidate objects are inside the Area feature. If you wish to use only Candidate features that lie within, or overlap, the Area feature, you should pre-process the data using either a SpatialFilter or SpatialRelator transformer.

Usage Notes

  • The geometry type of Candidate features may be points, lines, or polygons. However, Area features must be polygons.
  • If excess Area features are supplied – that is, there is more than one Area feature for a particular group – then they are excluded from the calculation of density for Candidates. However, they will still receive their own density calculation. In other words, each Area receives the density of Candidate features for their own size; but Candidate features only receive their density in relation to the size of the first Area feature.
  • If you need to find the density of Candidate features against the total area of a number of polygon features, use an Aggregator to aggregate the polygons and input the resulting aggregate to the Area port of this transformer.

Configuration

Input Ports

A single reference feature covering the area of interest.

A series of Candidate features.

Output Ports

The original Area feature(s) with the Density Attribute added. Its value will be the sum of the corresponding Candidate features (their number, length, or area) divided by the area of this feature itself.

The original Candidate features with the Density Attribute added. Each Candidate in a group will receive the same density value: the sum of the Candidate features in that group divided by the area of the first corresponding Area feature.

Parameters

Group By

If this parameter is not specified, then ALLCandidate features form a single group, and are processed against a single Area feature. This is the default behavior.

When an attribute is specified for this parameter, then groups are formed where they have matching attribute values. This allows you to process multiple groups of Candidate features against multiple Area features.

Complete Groups

Select the point in processing at which groups are processed:

When All Features Received

This is the default behavior. Processing will only occur in this transformer once all input is present.

When Group Changes (Advanced)

This transformer will process input groups in order. Changes of the value of the Group By parameter on the input stream will trigger processing on the currently accumulating group. This may improve overall speed (particularly with multiple, equally-sized groups), but could cause undesired behavior if input groups are not truly ordered.

There are two typical reasons for using When Group Changes (Advanced) . The first is incoming data that is intended to be processed in groups (and is already so ordered). In this case, the structure dictates Group By usage - not performance considerations.

The second possible reason is potential performance gains.

Performance gains are most likely when the data is already sorted (or read using a SQL ORDER BY statement) since less work is required of FME. If the data needs ordering, it can be sorted in the workspace (though the added processing overhead may negate any gains).

Sorting becomes more difficult according to the number of data streams. Multiple streams of data could be almost impossible to sort into the correct order, since all features matching a Group By value need to arrive before any features (of any feature type or dataset) belonging to the next group. In this case, using Group By with When All Features Received may be the equivalent and simpler approach.

Note: Multiple feature types and features from multiple datasets will not generally naturally occur in the correct order.

As with many scenarios, testing different approaches in your workspace with your data is the only definitive way to identify performance gains.

Calculate Density By

This parameter determines how the total candidates value is calculated. Its possible values are:

  • Number of Features
  • Line Length
  • Area

Typically, the relationship between this parameter and Candidate geometry is as follows:

Candidate Geometry Calculate Density By
Points Number of Features
Lines Line Length
Polygon (Area) Area

When the Candidate geometry does not match what is required – for example, point features when Calculate Density By equals Area – then the features are ignored (but still output).

Density

Name the attribute to contain the calculated density value. The default is _density.

Editing Transformer Parameters

Using a set of menu options, transformer parameters can be assigned by referencing other elements in the workspace. More advanced functions, such as an advanced editor and an arithmetic editor, are also available in some transformers. To access a menu of these options, click beside the applicable parameter. For more information, see Transformer Parameter Menu Options.

Defining Values

There are several ways to define a value for use in a Transformer. The simplest is to simply type in a value or string, which can include functions of various types such as attribute references, math and string functions, and workspace parameters. There are a number of tools and shortcuts that can assist in constructing values, generally available from the drop-down context menu adjacent to the value field.

Using the Text Editor

The Text Editor provides a convenient way to construct text strings (including regular expressions) from various data sources, such as attributes, parameters, and constants, where the result is used directly inside a parameter.

Text Editor

Using the Arithmetic Editor

The Arithmetic Editor provides a convenient way to construct math expressions from various data sources, such as attributes, parameters, and feature functions, where the result is used directly inside a parameter.

Arithmetic Editor

Conditional Values

Set values depending on one or more test conditions that either pass or fail.

Parameter Condition Definition Dialog

Content

Expressions and strings can include a number of functions, characters, parameters, and more.

When setting values - whether entered directly in a parameter or constructed using one of the editors - strings and expressions containing String, Math, Date/Time or FME Feature Functions will have those functions evaluated. Therefore, the names of these functions (in the form @<function_name>) should not be used as literal string values.

String Functions

These functions manipulate and format strings.

Special Characters

 A set of control characters is available in the Text Editor.

Math Functions

Math functions are available in both editors.
Date/Time Functions Date and time functions are available in the Text Editor.

Math Operators

These operators are available in the Arithmetic Editor.

FME Feature Functions

These return primarily feature-specific values.

FME Parameters

FME and workspace-specific parameters may be used.
Creating and Modifying User Parameters Create your own editable parameters.

Dialog Options - Tables

Transformers with table-style parameters have additional tools for populating and manipulating values.

Row Reordering

Enabled once you have clicked on a row item. Choices include:

  • Add a row
  • Remove a row
  • Move current row up one
  • Move current row down one
  • Move current row to top
  • Move current row to bottom

Cut, Copy, and Paste

Enabled once you have clicked on a row item. Choices include:

  • Cut a row - delete and copy to clipboard
  • Copy a row to the clipboard
  • Paste a row from the clipboard

Cut, copy, and paste may be used within a transformer, or between transformers.

Filter

Start typing a string, and the matrix will only display rows matching those characters. Searches all columns. This only affects the display of attributes within the transformer - it does not alter which attributes are output.

Import

Import populates the table with a set of new attributes read from a dataset. Specific application varies between transformers.

Reset/Refresh

Generally resets the table to its initial state, and may provide additional options to remove invalid entries. Behavior varies between transformers.

Note: Not all tools are available in all transformers.

Related Transformers

SpatialRelator

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