{ "info": { "author": "Global Fishing Watch", "author_email": "info@globalfishingwatch.org", "bugtrack_url": null, "classifiers": [ "Development Status :: 1 - Planning", "Intended Audience :: Developers", "Intended Audience :: Information Technology", "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Scientific/Engineering :: Information Analysis" ], "description": "treniformis\n===========\n\nGlobal Fishing Watch vessel lists. Very alpha.\n\n.. image:: https://travis-ci.com/GlobalFishingWatch/treniformis.svg?token=tu7qmzYG3ruJYdnto4aT&branch=master\n :target: https://travis-ci.com/GlobalFishingWatch/treniformis\n\n\nExample\n-------\n\n.. code-block:: python\n\n import treniformis\n treniformis.get_annual_list_path('GFW/WKV/FISHING/KNOWN/2016')\n\n\nDeveloping\n----------\n\n.. code-block:: console\n\n $ git clone https://github.com/GlobalFishingWatch/treniformis\n $ cd treniformis\n $ pip install -e .\\[all\\]\n $ py.test --cov treniformis --cov-report term-missing\n\n\nLists\n-----\n\nLikely Fishing\n~~~~~~~~~~~~~~\n\nGenerated from a query of vessels identifying themselves as fishing in the\n``shiptype_text`` field in the vessel identity messages in the type 5 and type\n24 AIS messages. Details of the query can be found in Benthos #397. In the next\nround we will filter out some additional \"unknown\" vessel types and probably\ndrop the threshold to include some vessels that almost always identify\nthemselves as fishing.\n\nKnown Fishing\n~~~~~~~~~~~~~\nBased on `public fishing registry records `_.\n\nCombined Fishing\n~~~~~~~~~~~~~~~~\n\nProduced by combining likely and known fishing lists and then removing sets of\nknown non-fishing vessels (fish carriers, fishspotting helicopters, research\nvessels) along with short mmsi's (less than 5 digits) and mmsi's that will\nlikely have a large number of spoofing vessels (111111111). See Benthos #397.\n\n\nVessel Classes\n--------------\n\n* Longliner\n* Pots and traps\n* Purse seiner\n* Squid vessel\n* Trawler\n* Cargo/Tanker\n* Motorized Yacht/Pleasure Craft\n* Research/Survey\n* Seismic vessel\n* Passenger vessel: ferries\n* Sail boat\n* Work vessel: tug, pilot, supply, dredgers, military, patrol\n\n\nLicense\n-------\n\nSee `LICENSE.txt `_", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/GlobalFishingWatch/treniformis", "keywords": "GFW Global Fishing Watch vessel lists", "license": "Apache 2.0", "maintainer": null, "maintainer_email": null, "name": "treniformis", "package_url": "https://pypi.org/project/treniformis/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/treniformis/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/GlobalFishingWatch/treniformis" }, "release_url": "https://pypi.org/project/treniformis/0.4.0-6/", "requires_dist": null, "requires_python": null, "summary": "Global Fishing Watch vessel lists", "version": "0.4.0-6" }, "last_serial": 2875200, "releases": { "0.4.0-3": [], "0.4.0-4": [ { "comment_text": "", "digests": { "md5": "44173153f1e912be463f96d7ac19a2d2", "sha256": "4c0a69aa01ea63809398fb9594b60f3379d5bf04f309fb369cddfe5fc243222b" }, "downloads": -1, "filename": "treniformis-0.4.0-4.tar.gz", "has_sig": false, "md5_digest": "44173153f1e912be463f96d7ac19a2d2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4723454, "upload_time": "2017-05-15T10:00:11", "url": "https://files.pythonhosted.org/packages/57/3a/f1f44e949e4e8df0afccd6caf3aa111b7dc7226d437ea63669965ff8f1d8/treniformis-0.4.0-4.tar.gz" } ], "0.4.0-6": [ { "comment_text": "", "digests": { "md5": "c608aec1044dad721c0b2028e685eda5", "sha256": "42952f925520de3e4ffc848f238d1e146dde5a794fa129b32d5e13d0656c5f35" }, "downloads": -1, "filename": "treniformis-0.4.0-6.tar.gz", "has_sig": false, "md5_digest": "c608aec1044dad721c0b2028e685eda5", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4723638, "upload_time": "2017-05-15T11:08:51", "url": "https://files.pythonhosted.org/packages/29/93/8733de489fe073f2bed693bf5d30732f86169861ccf3ce41e4aaba0cee62/treniformis-0.4.0-6.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "c608aec1044dad721c0b2028e685eda5", "sha256": "42952f925520de3e4ffc848f238d1e146dde5a794fa129b32d5e13d0656c5f35" }, "downloads": -1, "filename": "treniformis-0.4.0-6.tar.gz", "has_sig": false, "md5_digest": "c608aec1044dad721c0b2028e685eda5", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4723638, "upload_time": "2017-05-15T11:08:51", "url": "https://files.pythonhosted.org/packages/29/93/8733de489fe073f2bed693bf5d30732f86169861ccf3ce41e4aaba0cee62/treniformis-0.4.0-6.tar.gz" } ] }