In this demo from Victoria Anderson, learn how the Mexican Wolf Interagency Field Team and the U.S. Fish and Wildlife Service, Branch of Data Integration can help manage this endangered subspecies by combining spatial and graph analytics using ArcGIS Knowledge.
Demonstration highlights:
Over the last 25 years, the Mexican Wolf Interagency Field Team has been working to re-establish the population and increase the genetic diversity of the Mexican Wolf. Using ArcGIS Knowledge, they can dive deeper into the relationships that connect them to others and drive their behavior.
ArcGIS Knowledge is part of the ArcGIS system that helps analysts take where things happen and see how they are connected and related to other data. It helps the team see relationships between wolf packs on a link chart and visualize these relationships on a map.
Using graph analytics, researchers can quickly answer questions like which pack has the most direct connections. If these were humans in a social network, they would be the influencers – the people with the most followers.
Graph analysis helps researchers identify important nodes in a graph and the significant relationships within the data. There are different algorithms to quickly uncover who is the most influential or to uncover patterns in the relationships.
Researchers can build any question that they want to ask of the graph with an OpenCypher query in ArcGIS Knowledge. This includes understanding the relationship between packs that produce successful offspring to where they live and where they’ve reproduced. This helps researchers understand how changes in the landscape may affect offspring.