R package to estimate public transport emissions based on GTFS data
- emissions
- environmental-modelling
- gtfs
- public-transport
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R package to estimate public transport emissions based on GTFS data
An R package to interface with bikeshare data!
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The soil mate app provides a simple and convenient way to collect soil data at sample locations in the field. The Soil Mate app is targeted across multiple industries, including agriculture, environmental science, geology, and mining. The current version of the app collects soil texture data.
GTFS workflow tool **This project is DEPRECATED, see conveyal/datatools-manager for current version.**
Drag an image onto a map, trace the paths you need, and export as geojson to use in your application 🖼 ➡️ 🗺
An R package for constructing and modelling a transit network in real time to obtain vehicle ETAs
Repository-like tool to manage and update a huge number of GTFS feeds
Tile package is a compressed file containing a set of tiles and a tiling scheme, which can be used as a basemap in ArcGIS applications.
Public transport data in GTFS format with schemas, a data package and tests
Ruby library for generating images from GeoJSON
OSM Route Manager and History Viewer
An imaginary GTFS data set used for testing.
Aggregates and enhances carpooling-offers and publishes them as GTFS(-RT)
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).
A Go project to explore the math to calculate and present data in a map using the `Web Mercator Projection`
Advanced process control via MQTT :satellite:
R package for accessing the Mobility Database
Vagrantfile for gtfs-editor
Conversion utilities between H3 indexes and GeoJSON
Review GTFS stop pronunciations to determine which stops need a tts_stop_name value.
an admin tool for managing GTFS-RT alerts
AI-powered disaster alert system for Pakistan that automatically processes official emergency warning documents.
🗺️⏳ Count down to your events—visually and interactively! With React at its core, this project merges time and place, turning ordinary countdowns into engaging, map-based experiences.