An overview of the Summarize Data toolset

The Summarize Data toolset contains tools that calculate total counts, lengths, areas, and basic descriptive statistics of features and their attributes within areas or near other features.

GeoAnalytics Desktop tools provide a parallel processing framework for analysis on a desktop machine using Apache Spark. Through aggregation, regression, detection, and clustering, you can visualize, understand, and interact with big data. These tools work with big datasets and allow you to gain insight into your data through patterns, trends, and anomalies. The tools are integrated and run in AllSource in the same way as other desktop geoprocessing tools.

ToolDescription

Aggregate Points

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.

Describe Dataset

Summarizes features into calculated field statistics, sample features, and extent boundaries.

Join Features

Joins attributes from one layer to another based on spatial, temporal, or attribute relationships, or a combination of those relationships.

Reconstruct Tracks

Creates line or polygon tracks from time-enabled input data.

Summarize Attributes

Calculates summary statistics for fields in a feature class.

Summarize Center And Dispersion

Finds central features and directional distributions and calculates mean and median locations from the input.

Summarize Within

Overlays a polygon layer with another layer to summarize the number of points, length of the lines, or area of the polygons within each polygon and calculates attribute field statistics for those features within the polygons.