The "GeoJSONL" format has the easy readability of a GeoJSON file without the performance limitations of a GeoJSON file. Last year we started producing GeoJSONL files from our OSM Extracts service. Now HERE XYZ supports the format for ingest, as well as a growing list of long-existing and brand-new geospatial tools.
We're excited to share that the Transportation Research Board has awarded a Transit IDEA Program grant to Interline. We're using this opportunity to expand Transitland to support GTFS Realtime feeds. Our goal is for Transitland to provide a suite of validation tools for public-transit agency staff to validate the contents and quality of their real-time data feeds.
We're excited to share that the Metropolitan Transportation Commission has selected Interline through a competitive process to participate in its 2019 Startup in Residence (STIR) program. Interline and MTC will collaborate on the problem of regional transit data.
Interline and HERE are collaborating to make Interline's open data services like OSM Extracts and the Transitland API easy to combine, mix, filter, analyze, and visualize using the new HERE XYZ platform.
GeoJSON Lines (geojsonl) is a simple, newline-delimited variant of GeoJSON that allows large datasets to be loaded with a much lower memory footprint and easily integrate with traditional text-based tools. Interline OSM Extracts now provides geojsonl, along with a small but growing number of tools.
At Interline, we specialize in deploying, creating, and managing the growth of open-source software. We've encountered many practices that can help complex and collaborative open-source projects survive and thrive. This blog post provides a tour through many open-source practices, particularly ones that are helpful for aging but popular software packages like OpenTripPlanner.
Interline now offers OSM Extracts, a service enabling software developers and GIS professionals to download chunks of OpenStreetMap data for 200 major cities and regions around the world. In this blog post, we describe how we generate those 200 extracts in parallel using Kubernetes and the Argo workflow manager.