GeoAnalytics Engine Blog

Learn how to generate and use API key based authorization with GeoAnalytics Engine 1.5.0.

Explore how the new track type functions released in ArcGIS GeoAnalytics Engine 1.4 can be used with real world vessel location data.  These new track functions will be used to clean up the vessel location data, determine where the vessels spend the most time, and the speeds at which the vessels travel in the Vancouver Harbor.

Learn how to work with Snowflake data with GeoAnalytics Engine in Databricks. In this post, we’ll look at connecting the environments to open up the door to bring your Snowflake data in as part of your spatial analysis workflow.

Core-hours are the unit that is used in GeoAnalytics Engine to track the resources used in processing and analyzing your spatial data. In this post we’ll explore the concept of core-hours associated with the Connected licensing model, learn about the functions for tracking core-hours usage, and examine how many core-hours are used for a few example tasks.  

If you work with GPS data collected along routes you probably know that it can be messy as a result of GPS drift.  Tools like Snap Tracks are useful to clean up GPS data, by matching the GPS points to line segments.  But, you need a network dataset with from- and to-nodes defined.  In this post we explore how to add that information to network datasets.

Learn more about working with GeoAnalytics Engine in the Amazon Web Services EMR environment.

The Overture Maps Foundation released the second version of their world-wide open map data on October 19. These datasets have an incredible amount of detail and great coverage across the world, and you can easily incorporate them into your spatial analyses using GeoAnalytics Engine.  Let's take a look at how this works!

Point locations are an overwhelmingly common input to spatial big data analytics, but our raw data may not already have all of the attributes we need.  In this post, we'll explore ways to enrich point-level data to support big data analytic workflows using ArcGIS GeoAnalytics Engine.

This blog provides an example of the new Polygon Centerline function, which can help to convert GPS points for movement data into single polylines representing the common path across all tracks in the data. The functions and methods demonstrated can be used for consolidating any movement data into central paths.

This blog provides an example workflow with the new Nearest Neighbors tool. Discover how you can use the tool to determine what features (or objects or events) are closest to other features in big spatial datasets.