Доступно с лицензией Business Analyst.
Сводка
Creates trade areas around stores based on the number of customers or volume attribute of each customer.
Иллюстрация
Использование
The spatial reference of the output feature class will be the same as the store layer.
Stores and Customers must both be point features.
Valid numeric values must be used when identifying a volumetric field to be used as a weighted value.
The trade area boundaries can be set to expand outward until encompassing user-prescribed customer counts, or summed and weighted numeric values, such as sales.
Store-to-customer assignments are controlled during setup by way of a common, user-specified ID.
Синтаксис
arcpy.ba.CustomerDerivedTA(in_stores_layer, store_id_field, in_customers_layer, link_field, out_feature_class, method, rings, customer_aggregation_type, {customer_weight_field}, {exclude_outlying_customers}, {cutoff_distance}, {dissolve_option}, {use_customer_centroids}, {distance_type}, {units}, {travel_direction}, {time_of_day}, {time_zone}, {search_tolerance}, {polygon_detail}, {iterations_limit}, {minimum_step}, {target_percent_diff})
Parameter | Объяснение | Тип данных |
in_stores_layer | Input point layer representing store or facility locations. | Feature Layer |
store_id_field | Unique ID representing a store or facility location. | Field |
in_customers_layer | Input point layer representing customers or patrons. | Feature Layer |
link_field | An ID used to assign individual customers to stores. | Field |
out_feature_class | The output trade area feature class. | Feature Class |
method | Specifies the type of customer-derived trade area to be generated.
| String |
rings [rings,...] | One or more values representing the percentage of customers—for example, total count or a customer attribute and total sales assigned to each store. Each value represents one trade area polygon. | Double |
customer_aggregation_type | Specifies the type of aggregation.
| String |
customer_weight_field (Дополнительный) | The field used to calculate the trade areas. This is based on either the number of customers (count) or the calculated weighted value assigned to each customer. | Field |
exclude_outlying_customers (Дополнительный) | Specifies whether to exclude outlying customers from the trade area creation process.
| Boolean |
cutoff_distance (Дополнительный) | The distance beyond which customers will be considered outliers, and therefore excluded from consideration during trade area creation. | Linear Unit |
dissolve_option (Дополнительный) | Specifies whether to create polygons of the entire area or split the polygons into individual features.
| String |
use_customer_centroids (Дополнительный) | Specifies the center of your customer area and calculates trade areas outward from this point.
| Boolean |
distance_type (Дополнительный) | Specifies how the distance is calculated based on method of travel. | String |
units (Дополнительный) | The units that will be used for the distance values. | String |
travel_direction (Дополнительный) | Specifies the direction of travel that will be used between stores and customers.
| String |
time_of_day (Дополнительный) | The time and date that will be used when calculating distance. | Date |
time_zone (Дополнительный) | Specifies the time zone that will be used for the Time of Day parameter.
| String |
search_tolerance (Дополнительный) | The maximum distance that input points can be from the network. Points located beyond the search tolerance will be excluded from processing. The parameter requires a distance value and units for the tolerance. | Linear Unit |
polygon_detail (Дополнительный) | Specifies the level of detail that will be used for the output drive-time polygons.
| String |
iterations_limit (Дополнительный) | Restrict the number of drive times used to find the optimal threshold limit. | Long |
minimum_step (Дополнительный) | The minimum increment distance or time—for example, 1 mile or 1 minute, used between iterations to expand until the threshold is reached. | Double |
target_percent_diff (Дополнительный) | The maximum difference between the target value and threshold value when determining the threshold drive time—for example, 5%. The default value is 5. | Double |
Пример кода
The following Python window script demonstrates how to use the CustomerDerivedTA tool.
import arcpy
arcpy.ba.CustomerDerivedTA("Facilities", "ID", "Customers", "ID",r"C:\Temp\Output.gdb\TradeArea75pct","DETAILED_WITH_SMOOTHING", [75], "COUNT", None,"ALL_POINTS", None, "OVERLAP", "USE_STORES", '', '',"TOWARD_STORES", None, "TIME_ZONE_AT_LOCATION", None,"STANDARD", 10, None, 5)
Environments
Информация о лицензиях
- Basic: Требуется Business Analyst
- Standard: Требуется Business Analyst
- Advanced: Требуется Business Analyst