We intervened on the internal-use Elk Range platform, working on individual functional components in response to the client requests received via GitHub and bi-weekly calls.

The flow of requests increased over the months, and the work carried out was independently delivered and put into production by the client.

The focus has primarily been on improving the performance of maps and views in the project used by Elk Range to assess various aspects of their business. This was achieved by employing various techniques.

On the backend, smart spatial filters and streaming techniques are introduced to handle substantial amounts of geospatial data.

We built an engine that efficiently facilitates businesses in conducting critical visual assessments of their assets by delivering both raw and processed geospatial data through incremental streaming.

We also offered on-demand consulting on Python (Django), SQL (GIS and non-GIS) code optimization, and project engineering. Additionally, we provided on-demand code review support for the development team involved in the project.

On the front end, by creating a reusable, custom Leaflet integration capable of:

• dynamically loading GeoJSON layers
• reading streamed data, and populating the map incrementally
• interacting with table views to offer fly-to-area capabilities and more

The resulting Leaflet integration is a Python package, largely configurable and adaptable to a variety of use cases, which the Elk Range team is successfully employing across the project.