Tasks contained in the GeoAnalyticsTools service
The GeoAnalyticsTools service contains a number of tasks that you can access and use in your apps. GeoAnalytics Tools are available in the Portal for ArcGIS map viewer, ArcGIS Pro, the ArcGIS REST API, and the ArcGIS Python API. The categories are logical groupings and do not affect how you access or use the tasks in any way.
This tool works with a layer of point features and a layer of areas features. Input area features can be from a polygon layer or they can be square or hexagonal bins calculated when the tool is run. The tool first determines which points fall within each specified area. After determining this point-in-area spatial relationship, statistics about all points in the area are calculated and assigned to the area. The most basic statistic is the count of the number of points within the area, but you can get other statistics as well.
The Join Features task works with two layers. Join Features joins attributes from one feature to another based on spatial, temporal, and attribute relationships or some combination of the three. The tool determines all input features that meet the specified join conditions and joins the second input layer to the first. You can optionally join all features to the matching features or summarize the matching features.
This tool works with a time-enabled layer of either point or polygon features that represent an instant in time. It first determines which features belong to a track using an identifier. Using the time at each location, the tracks are ordered sequentially and transformed into a line or polygon representing the path of movement over time. Optionally, the input may be buffered by a field, which will create a polygon at each location. These buffered points, or if the inputs are polygons, are then joined sequentially to create a track as a polygon where the width is representative of the attribute of interest. Resulting tracks have a start and end time, which represent temporally the first and last feature in a given track. When the tracks are created, statistics about the input features are calculated and assigned to the output track. The most basic statistic is the count of points within the area, but other statistics can be calculated as well.
Summarize Attributes takes an input layer and summarizes and calculate statistics on like values. The most basic statistic is the count of the number of features with a specified value, but you can get other statistics as well.
The Summarize Within task finds features (and portions of features) that are within the boundaries of areas in the first input layer. The following are examples:
The Calculate Density task creates a density map from point features by spreading known quantities of some phenomenon (represented as attributes of the points) across the map. The result is a layer of areas classified from least dense to most dense.
|Find Hot Spots|
The Find Hot Spots task analyzes point data (such as crime incidents, traffic accidents, trees, and so on) or field values associated with points. It finds statistically significant spatial clusters of high incidents (hot spots) and low incidents (cold spots). Hot spots are locations with lots of points and cold spots are locations with very few points.
|Create Space Time Cube|
Create Space Time Cube works with a layer of point features that are time enabled. It aggregates the data into a three-dimensional cube of space-time bins. When determining the point in a space-time bin relationship, statistics about all points in the space-time bins are calculated and assigned to the bins. The most basic statistic is the number of points within the bins, but you can calculate other statistics as well.
At 10.5 Create Space Time Cube is not available in the Portal for ArcGIS map viewer. Create Space Time Cube is available through ArcGIS Pro and the ArcGIS Server REST API.
Buffers are typically used to create areas that can be further analyzed using other tools. For example, if the question is What buildings are within 1 mile of the school?, the answer can be found by creating a 1-mile buffer around the school and overlaying the buffer with the layer containing building footprints. The end result is a layer of those buildings within 1 mile of the school.
|Copy to Data Store|
Copy To Data Store takes an input layer and copies it to a data store. Data is copied to ArcGIS Data Store and is stored in your relational or spatiotemporal data store.