Huff Model Calibration (Business Analyst)

Disponible con licencia de Business Analyst.

Resumen

Calculates exponent values for use in the Huff Model tool.

Uso

• The output exponents are based on attractiveness values of the existing facilities and their spatial relationship to customer points.

• Customer point data is a required input.

• The Huff Model Calibration output is stored in the Business Analyst container in the Catalog pane.

• Exponent values are correlated to the market defined by the inputs. Although they can be applied to additional markets, they may be less reliable in those scenarios.

• The Huff Model Calibration output can be applied to the Huff Model tool.

Sintaxis

arcpy.ba.HuffModelCalibration(in_facility_features, facility_id_field, in_customer_features, link_field, in_sales_potential_features, sales_potential_id_field, out_calibration, attractiveness_variables, {customer_weight_field}, {distance_type}, {distance_units}, {travel_direction}, {time_of_day}, {time_zone})

Parámetro	Explicación	Tipo de datos
in_facility_features	The input point feature class representing competitors or existing stores.	Feature Layer
facility_id_field	A unique ID representing a store or facility location.	Field
in_customer_features	The input point feature class representing customer locations.	Feature Layer
link_field	The field used as an ID to assign individual customers to a facility or store.	Field
in_sales_potential_features	The input polygon feature class used to determine the potential sales market.	Feature Layer
sales_potential_id_field	A unique ID representing the sales potential area.	Field
out_calibration	The output calibration file that will contain the calibrated Huff model results, which is the exponent values for the attractiveness variables and distance. The output file extension will be *.huffmodel.	File
attractiveness_variables [attractiveness_variables,...]	The fields used to determine the attractiveness of each competitor. In many cases, the size of the store is used as a substitute for attractiveness.	Value Table
customer_weight_field (Opcional)	A calculated weighted value assigned to each customer.	Field
distance_type (Opcional)	Defines how distance is calculated based on method of travel. The default value is Straight Line.	String
distance_units (Opcional)	The distance-measuring units to be used when calculating distance.	String
travel_direction (Opcional)	Specifies the direction of travel that will be used between stores and sales potential features. TOWARD_STORES —The direction of travel will be from sales potential features to stores. This is the default. AWAY_FROM_STORES —The direction of travel will be from stores to sales potential features.	String
time_of_day (Opcional)	The time and date that will be used when calculating distance.	Date
time_zone (Opcional)	Specifies the time zone that will be used for the Time of Day parameter. TIME_ZONE_AT_LOCATION —The time zone in which the territories are located will be used. This is the default. UTC —Coordinated universal time (UTC) will be used.	String

Muestra de código

HuffModelCalibration example (Python window)

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

import arcpy
arcpy.ba.HuffModelCalibration("starbucks_layer", "IDField", "potential_store_layer", "IDField", "HuffModelTestData.gdb\CT", "IDField", "TOTPOP_CY", "Starbucks_HuffModel", "SALES # 1", -1.5, "STRAIGHT_LINE_DISTANCE", "MILES", None, "TOWARD_STORES", None, "TIME_ZONE_AT_LOCATION")

Entornos

Espacio de trabajo actual, Fuente de datos, Fuente de red

Información de licenciamiento

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