Color Coded Layer (Business Analyst)

Disponible con licencia de Business Analyst.

Resumen

Creates a multigeography-level, scale-dependent choropleth layer from a variable describing a business, demographic, consumer, or landscape characteristic.

Ilustración

Uso

• Map appearance will vary based on the classification method used. Detailed explanations of each are contained in the parameter syntax documentation.

• The default number of classification fields is 5. This can be changed in the Number of Classes parameter. Typically, the number of breaks ranges from 3 to 7.

• The geography level displayed will automatically adjust to the optimal geography level as the map scale changes.

• You can specify three classes for a field that has values ranging from 0 to 300; the application will create three classes with ranges of 0–100, 101–200, and 201–300.

• The Geometric Interval method uses an algorithm that creates class breaks by minimizing the sum of squares of the number of elements in each class. This ensures that each class range has approximately the same number of values in each class and that the change between intervals is consistent.

• Natural breaks are divided into classes with boundaries that are set where there are relatively big differences in the data values.

• The Quantile classification method assigns the same number of data values to each class. There are no empty classes or classes with too few or too many values.

• Los Business Analyst Data, utilizados en resúmenes e informes, se especifican mediante el ajuste de entorno Fuente de datos de geoprocesamiento.

Parámetros

Cuadro de diálogo

Etiqueta	Explicación	Tipo de datos
Classification Variable	A variable that will display as a color-coded map.	String
Output Layer Name	The name of the color-coded layer that will be added to the map.	String
Classification Method	Specifies the method that will be used to calculate the class breaks. Natural Breaks (Jenks)—Natural breaks classes are based on natural groupings inherent in the data. Class breaks that best group similar values and that maximize the differences between classes will be identified. This is the default. Quantile—Each class will contain an equal number of features. A quantile classification is well suited to linearly distributed data. Equal Interval—The range of attribute values will be divided into equal-sized subranges. This allows you to specify the number of intervals, and ArcGIS Pro will automatically determine the class breaks based on the value range. Geometric Interval—Class breaks will be created based on class intervals that have a geometric series. The geometric coefficient in this classifier can change once (to its inverse) to optimize the class ranges.	String
Number of Classes	The number of data classification breaks that will appear on the map. The default value is 5.	String

Salida derivada

Etiqueta	Explicación	Tipo de datos
Output Layer	A container for the output layer.	Group Layer

Python

arcpy.ba.ColorCodedLayer(classification_variable, out_layer_name, classification_method, number_of_classes)

Nombre	Explicación	Tipo de datos
classification_variable	A variable that will display as a color-coded map.	String
out_layer_name	The name of the color-coded layer that will be added to the map.	String
classification_method	Specifies the method that will be used to calculate the class breaks. NATURAL_BREAKS—Natural breaks classes are based on natural groupings inherent in the data. Class breaks that best group similar values and that maximize the differences between classes will be identified. This is the default. QUANTILE—Each class will contain an equal number of features. A quantile classification is well suited to linearly distributed data. EQUAL_INTERVAL—The range of attribute values will be divided into equal-sized subranges. This allows you to specify the number of intervals, and ArcGIS Pro will automatically determine the class breaks based on the value range. GEOMETRIC_INTERVAL—Class breaks will be created based on class intervals that have a geometric series. The geometric coefficient in this classifier can change once (to its inverse) to optimize the class ranges.	String
number_of_classes	The number of data classification breaks that will appear on the map. The default value is 5.	String

Salida derivada

Nombre	Explicación	Tipo de datos
out_layer	A container for the output layer.	Group Layer

Muestra de código

ColorCodedLayer example (Python window)

The following Python window script demonstrates how to use the ColorCodedLayer function.

import arcpy
arcpy.env.baDataSource = "ONLINE;US;"
arcpy.ba.ColorCodedLayer("networth.mednw_cy", "CCL_NetWorth", "NATURAL_BREAKS", 5)

ColorCodedLayer with Statistical Data Collection variable example (Python window)

The following Python window script demonstrates how to use the ColorCodedLayer function with Statistical Data Collection variables.

import arcpy
arcpy.env.baDataSource = "USA_ESRI_2018"
arcpy.ba.ColorCodedLayer(r"c:\users\<User ID>\documents\arcgis\projects\my_project\bayarea_proprietarydata.sdcx/sales_s01_sales", "sales_s01_sales Layer", "NATURAL_BREAKS", 5)

Entornos

Espacio de trabajo actual, Fuente de datos

Casos especiales

Información de licenciamiento

• Basic: Requiere Business Analyst
• Standard: Requiere Business Analyst
• Advanced: Requiere Business Analyst