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R package for working with GTFS data
The main features of r-transit/tidytransit are: Transit Data Analysis, GTFS Libraries, R Spatial Analysis Tools, Ecological and Movement Analysis.
Projects with overlapping indexed features include: marlonecobos/kuenm — kuenm: An R package for detailed calibration and construction of Maxent Ecological Niche Models. prioritizr/prioritizr — Systematic conservation prioritization in R. turboway/bigdata_analyse — This project is a collection of big data frameworks and pipelines, including an Apache Hive analysis framework, a… afimb/gtfslib-python — An open source library in python for reading GTFS files and computing various stats and indicators about Public… babaknaimi/elsa. azvoleff/teamlucc.
kuenm: An R package for detailed calibration and construction of Maxent Ecological Niche Models.
This project is a collection of big data frameworks and pipelines, including an Apache Hive analysis framework, a behavioral data analytics platform, a predictive analytics engine, and real-time data pipelines. It provides the infrastructure for building Extract, Transform, Load (ETL) workflows to process large datasets for distributed storage and SQL-based analysis. The system supports diverse analytical implementations, such as a predictive engine using linear regression for value forecasting and a real-time architecture that moves data through message brokers for immediate reporting. It in
An open source library in python for reading GTFS files and computing various stats and indicators about Public Transport networks
