# Aggregate Points (GeoAnalytics)

## Summary

Aggregates points into polygon features or bins. A polygon is returned with a count of points as well as optional statistics at all locations where points exist.

## Usage

• You can specify the areas where the points will be aggregated in either of the following ways:

• Use a polygon layer.
• Use a square, hexagonal, or H3 bin of a specified size that is generated when the analysis is run.

You can provide the area layer to use for analysis, or you can generate bins of a specified size and shape (hexagon, square, or H3) into which the points will be aggregated. The bin size specifies how large square and hexagon bins will be.

• If you are aggregating into hexagons, the size is the height of each hexagon, and the width of the resulting hexagon will be 2 times the height divided by the square root of 3.
• If you are aggregating into squares, the bin size is the height of the square, which is equal to the width.
• If you are aggregating into H3 bins, bin size is determined by the specified H3 bin resolution. The H3 bin resolution can be a value between 0 and 15 in which 0 produces the largest bins and 15 produces the smallest bins.

• Aggregate Points requires that the Point Layer parameter value is projected or that the output coordinate system is set to a projected coordinate system when aggregating into hexagon or square bins. If the data is not in a projected coordinate system when aggregating into hexagon or square bins and you do not set a projected processing coordinate system, a projection will be assigned based on the extent of the data you are analyzing. When aggregating into H3 bins, the Point Layer parameter value must be in World Geodetic System 1984 (WKID 4326) and will be transformed into this coordinate system if needed.

• The output feature layer is always a polygon layer. Only polygons that contain points will be returned, and resulting polygons will be completely removed from the result layer.

• The most basic aggregations will calculate a count of the number of points in each polygon. Statistics (count, sum, minimum, maximum, range, mean, standard deviation, and variance) can also be calculated on numerical fields, and statistics (count, any) can be calculated on string fields. The statistics will be calculated on each area separately. If you specify a statistic that is not valid (the mean of a string field, for example), it will be skipped.

##### Note:

When count is applied to a field, it returns a count of the nonnull values present in the field. When any is applied to a string field, it returns a single string present in the field.

• If time is enabled on the input, you can apply time stepping to the analysis. Each time step is analyzed independent of features outside the time step. To use time stepping, the input data must be time enabled and represent an instant in time. When time stepping is applied, output features will be time intervals represented by the START_DATETIME and END_DATETIME fields.

• If you specify a time-step interval, time-step repeat, or reference time, and time is not enabled on the data, an error will occur.

• The Time Step Reference parameter can be a date and time value or solely a date value; it cannot be solely a time value.

• The following fields are included in the output features:

Field nameDescription

count

The count of features within each polygon.

statistic_fieldname

Specified statistics will each create an attribute field, named in the following format: statistic_fieldname. For example, the maximum and standard deviation of the id field are MAX_id and SD_id, respectively.

start_date

When time stepping is specified, output polygons will have a time interval. This field represents the start time.

end_date

When time stepping is specified, output polygons will have a time interval. This field represents the end time.

bin_id

The numeric H3 bin ID. This field is only included when aggregating into H3 bins.

• You can improve the performance of the Aggregate Points tool by using one or more of the following tips:

• Set the extent environment so you only analyze data of interest.
• Larger bins will perform better than smaller bins. If you are unsure about which size to use, start with a larger bin to prototype.
• Similar to bins, larger time steps will perform better than smaller time steps.
• Use data that is local to where the analysis is being run.

• This geoprocessing tool is powered by ArcGIS GeoAnalytics Server. Analysis is completed on your GeoAnalytics Server, and results are stored in your content in ArcGIS Enterprise.

• When running GeoAnalytics Server tools, the analysis is completed on the GeoAnalytics Server. For optimal performance, make data available to the GeoAnalytics Server through feature layers hosted on your ArcGIS Enterprise portal or through big data file shares. Data that is not local to your GeoAnalytics Server will be moved to your GeoAnalytics Server before analysis begins. This means that it will take longer to run a tool, and in some cases, moving the data from ArcGIS Pro to your GeoAnalytics Server may fail. The threshold for failure depends on your network speeds, as well as the size and complexity of the data. It is recommended that you always share your data or create a big data file share.

• Similar analysis can also be completed using the Aggregate Points tool in the Standard Feature Analysis toolbox.

## Parameters

 Label Explanation Data Type Point Layer The point features that will be aggregated into polygons or bins. Feature Set Output Name The name of the output feature service. String Polygon or Bin Specifies how the Point Layer parameter value will be aggregated.Polygon—The point layer will be aggregated into a polygon dataset.Bin—The point layer will be aggregated into square or hexagonal bins that are generated when the tool is run. String Polygon Layer(Optional) The polygon features into which the input points will be aggregated. Feature Set Bin Type (Optional) Specifies the bin shape that will be generated to hold the aggregated points.Square—Square bins will be generated in which the Bin Size value represents the height of a square. This is the default.Hexagon—Hexagonal bins will be generated in which the Bin Size value represents the height between two parallel sides.H3—H3 bins will be generated. The bin size will be determined by the Bin Resolution parameter value. String Bin Size (Optional) The distance interval that represents the bin size and units into which the Point Layer value will be aggregated. The distance interval must be a linear unit. The distance interval that represents the Bin Size and units into which the Point Layer will be aggregated. The distance interval must be a linear unit. Linear Unit Time Step Interval (Optional) A value that specifies the duration of the time step. This parameter is only available if the input points are time enabled and represent an instant in time. Time stepping can only be applied if time is enabled on the input. Time Unit Time Step Repeat (Optional) A value that specifies how often the time-step interval occurs. This parameter is only available if the input points are time enabled and represent an instant in time. Time Unit Time Step Reference (Optional) A date that specifies the reference time with which to align the time steps. The default is January 1, 1970, at 12:00 a.m. This parameter is only available if the input points are time enabled and represent an instant in time. Date Summary Fields (Optional) The statistics that will be calculated on specified fields. Value Table Data Store (Optional) Specifies the ArcGIS Data Store where the output will be saved. The default is Spatiotemporal big data store. All results stored in a spatiotemporal big data store will be stored in WGS84. Results stored in a relational data store will maintain their coordinate system.Spatiotemporal big data store—Output will be stored in a spatiotemporal big data store. This is the default.Relational data store—Output will be stored in a relational data store. String Bin Resolution (Optional) The resolution of the H3 bins. This is a value between 0 and 15 in which 0 will produce the largest H3 bins and 15 will produce the smallest H3 bins. Long

### Derived Output

 Label Explanation Data Type Output Feature Layer The aggregated polygon features or bins. Feature Set

`arcpy.geoanalytics.AggregatePoints(point_layer, output_name, polygon_or_bin, {polygon_layer}, {bin_type}, {bin_size}, {time_step_interval}, {time_step_repeat}, {time_step_reference}, {summary_fields}, {data_store}, {bin_resolution})`
 Name Explanation Data Type point_layer The point features that will be aggregated into polygons or bins. Feature Set output_name The name of the output feature service. String polygon_or_bin Specifies how the point_layer parameter value will be aggregated.POLYGON—The point layer will be aggregated into a polygon dataset.BIN—The point layer will be aggregated into square or hexagonal bins that are generated when the tool is run. String polygon_layer(Optional) The polygon features into which the input points will be aggregated. Feature Set bin_type(Optional) Specifies the bin shape that will be generated to hold the aggregated points.SQUARE—Square bins will be generated in which the bin_size value represents the height of a square. This is the default.HEXAGON—Hexagonal bins will be generated in which the bin_size value represents the height between two parallel sides.H3—H3 bins will be generated. The bin size will be determined by the bin_resolution parameter value. String bin_size(Optional) The distance interval that represents the bin size and units into which the point_layer value will be aggregated. The distance interval must be a linear unit. Linear Unit time_step_interval(Optional) A value that specifies the duration of the time step. This parameter is only available if the input points are time enabled and represent an instant in time. Time stepping can only be applied if time is enabled on the input. Time Unit time_step_repeat(Optional) A value that specifies how often the time-step interval occurs. This parameter is only available if the input points are time enabled and represent an instant in time. Time Unit time_step_reference(Optional) A date that specifies the reference time with which to align the time steps. The default is January 1, 1970, at 12:00 a.m. This parameter is only available if the input points are time enabled and represent an instant in time. Date summary_fields[summary_fields,...](Optional) The statistics that will be calculated on specified fields. COUNT—The number of nonnull values. It can be used on numeric fields or strings. The count of [null, 0, 2] is 2.SUM—The sum of numeric values in a field. The sum of [null, null, 3] is 3.MEAN—The mean of numeric values. The mean of [0,2, null] is 1.MIN—The minimum value of a numeric field. The minimum of [0, 2, null] is 0.MAX—The maximum value of a numeric field. The maximum value of [0, 2, null] is 2.STDDEV—The standard deviation of a numeric field. The standard deviation of [1] is null. The standard deviation of [null, 1,1,1] is null.VAR—The variance of a numeric field in a track. The variance of [1] is null. The variance of [null, 1,1,1] is null.RANGE—The range of a numeric field. This is calculated as the minimum value subtracted from the maximum value. The range of [0, null, 1] is 1. The range of [null, 4] is 0.ANY—A sample string from a field of type string. Value Table data_store(Optional) Specifies the ArcGIS Data Store where the output will be saved. The default is SPATIOTEMPORAL_DATA_STORE. All results stored in a spatiotemporal big data store will be stored in WGS84. Results stored in a relational data store will maintain their coordinate system.SPATIOTEMPORAL_DATA_STORE—Output will be stored in a spatiotemporal big data store. This is the default.RELATIONAL_DATA_STORE—Output will be stored in a relational data store. String bin_resolution(Optional) The resolution of the H3 bins. This is a value between 0 and 15 in which 0 will produce the largest H3 bins and 15 will produce the smallest H3 bins. Long

### Derived Output

 Name Explanation Data Type output The aggregated polygon features or bins. Feature Set

### Code sample

AggregatePoints (Python window)

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

``````# Name: AggregatePoints.py
# Description: Aggregate 311 events into 1 KM Bins.
#
# Requirements: ArcGIS GeoAnalytics Server

# Import system modules
import arcpy

# Set local variables
inFeatures = "https://sampleserver6.arcgisonline.com/arcgis/rest/services/SF311/FeatureServer/0"
summaryFields = ["Year", "Beat"]
summaryStatistics = [["Arrest", "COUNT"], ["District", "COUNT"]]
outFS = "AggregateWildfires"
dataStore = "SPATIOTEMPORAL_DATA_STORE"

# Run Aggregate Points
arcpy.geoanalytics.AggregatePoints(inFeatures, outFS, "BIN", None, "HEXAGON",
"1 Kilometers", None, None, None, None,
dataStore)``````

## Environments

### Special cases

Output Coordinate System

The coordinate system that will be used for analysis. Analysis will be completed in the input coordinate system unless specified by this parameter. For GeoAnalytics Tools, final results will be stored in the spatiotemporal data store in WGS84.

## Licensing information

• Basic: Requires ArcGIS GeoAnalytics Server
• Standard: Requires ArcGIS GeoAnalytics Server
• Advanced: Requires ArcGIS GeoAnalytics Server