Hootenanny: Creating an Open Source Conflation Engine
As geographic vector datasets continue to become more commonplace and available to the public, GIS users find they routinely work with maps that can vary in format, coverage, attribute schema, completeness, and accuracy. Often times the solution is to work with parts of each dataset in order to produce a superior “best-of-breed” conflated map that leverages the best features and information from each of the individual sources. To this end, semi-automated conflation tools and services were developed in the Hootenanny project to provide an open source, standardized, way of conflating foundational features such as roads, buildings, and points-of-interest. Hootenanny is an open source project available on GitHub (https://www.github.com/ngageoint/hootenanny). It additionally incorporates open source technologies, including MapBox’s iD Editor, PostgreSQL, and implements the OSM Schema.
This presentation will discuss the various services, workflows, conflation and schema alignment strategies, and output formats being developed to facilitate automated conflation. There will also be a discussion on developing an open source solution and publishing on GitHub for a government agency, in this situation the National Geospatial Intelligence Agency.