{"id":19491909,"url":"https://github.com/neelsoumya/forecasting_port_throughput","last_synced_at":"2026-06-12T06:02:30.321Z","repository":{"id":118679177,"uuid":"444012171","full_name":"neelsoumya/forecasting_port_throughput","owner":"neelsoumya","description":"Forecasting port throughput","archived":false,"fork":false,"pushed_at":"2022-05-15T05:01:36.000Z","size":899,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-02-25T19:46:30.571Z","etag":null,"topics":["forecasting","logistics","port","supply-chain","supply-chain-management","throughput"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/neelsoumya.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2022-01-03T09:55:21.000Z","updated_at":"2022-01-05T10:34:47.000Z","dependencies_parsed_at":"2023-09-22T03:05:44.609Z","dependency_job_id":null,"html_url":"https://github.com/neelsoumya/forecasting_port_throughput","commit_stats":{"total_commits":6,"total_committers":1,"mean_commits":6.0,"dds":0.0,"last_synced_commit":"3942ac839cfdd318ba3aff272439c7f5bf78d1b2"},"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/neelsoumya/forecasting_port_throughput","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neelsoumya%2Fforecasting_port_throughput","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neelsoumya%2Fforecasting_port_throughput/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neelsoumya%2Fforecasting_port_throughput/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neelsoumya%2Fforecasting_port_throughput/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/neelsoumya","download_url":"https://codeload.github.com/neelsoumya/forecasting_port_throughput/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neelsoumya%2Fforecasting_port_throughput/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34231212,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-12T02:00:06.859Z","response_time":109,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["forecasting","logistics","port","supply-chain","supply-chain-management","throughput"],"created_at":"2024-11-10T21:18:42.192Z","updated_at":"2026-06-12T06:02:30.287Z","avatar_url":"https://github.com/neelsoumya.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# forecasting_port_throughput\n\n## Introduction\n\nCode to perform forecasting of port throughput. Synthetic data is used here as an example.\n\n## Installation\n\n```r\ninstall.packages('devtools')\nlibrary(devtools)\ndevtools::install_github('neelsoumya/forecasting_port_throughput')\n```\n\n## Code\n\nCode applied to synthetic data \n\nhttps://bitbucket.org/neelsoumya/accident_prediction/src\n\nR shiny application to perform forecasting and SQL like queries for a road accident forecasting and data exploration project\n\nhttps://neelsoumya.shinyapps.io/accident_prediction/\n\n\n## Manucript\n\nhttps://www.repository.cam.ac.uk/handle/1810/304150\n\nhttps://osf.io/c3av2/\n\n\n## Citation\n\nForecasting Australian port throughput: Lessons and Pitfalls in the era of Big Data, Yuriy Tyshetskiy, Soumya Banerjee, George Mathews, Thomas Vitsounis, Proceedings of the Annual Conference of the International Association of Maritime Economists (2016)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneelsoumya%2Fforecasting_port_throughput","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fneelsoumya%2Fforecasting_port_throughput","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneelsoumya%2Fforecasting_port_throughput/lists"}