sea-names 0.3.0

Installation

This project relies on conda for installation and managing of the project dependencies.

1. Download and install miniconda for your operating system https://docs.conda.io/en/latest/miniconda.html.

2. Clone this project with git.

3. Once conda is available build the environment for this project with:

   conda env create -f environment.yml

   The above command creates a new conda environment titled sea-names with the necessary project dependencies.

4. An Additional environment file is present for testing and development environments. The additional developer dependencies can be installed with:

   conda env update -f test-environment.yml

5. To install the project to the new environment:

   conda activate sea-names
   pip install -e .

Shapefiles and Dataset Usage

Currently we’ve been asked to remove the repository of shapefiles used by this library for licensing reasons. The library will remain publicly accessible but the dataset underlying the library is no longer available for public distribution.

We are trying to adopt the library to use either an open-source dataset or find alternatives for our users, we apologize for the inconvenience.

Running Tests

To run the project’s tests:

pytest -sv --integration

Usage

The package can provide the region name for any given coordinate pair (Longitude, and Latitude).

import sea_names

lon = -81.65
lat = 41.98

name = sea_names.get_sea_name((lon, lat))
assert name == "Lake Erie"

The package also has the ability to provide a set of sea names for a series of points. This capability is still somewhat experimental and can use a lot of memory.

from sea_names.geo import get_sea_names_for_trajectory
lons = [
   -176.54,
   -164.70,
   -143.13,
   -126.09,
   -107.18,
   -91.36,
]
lats = [
   55.64,
   48.74,
   56.57,
   45.58,
   21.39,
   25.15,
]
region_names = get_sea_names_for_trajectory(lons, lats, chunk_size=len(lons))
assert region_names == ['Bering Sea', 'Gulf of Mexico', 'North Pacific Ocean']

Configuration

Building with Docker

To build the docker container:

docker build -t sea-names .

Running with Docker

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

0.3.0 (2024-08-08)

• Updated README with usage examples

• Updated README to include data license notice

• Updates to the hash of the dataset

• Spelling corrections

0.2.0 (2024-06-21)

• Support for determining sea names for an entire trajectory.

• Added numpy to strict dependencies

0.1.0 (2023-06-16)

• First release on PyPI.