Metadata-Version: 2.1
Name: wtss
Version: 0.7.0.post1
Summary: Python Client Library for WTSS.
Home-page: https://github.com/brazil-data-cube/wtss.py
Author: Brazil Data Cube Team
Author-email: brazildatacube@inpe.br
License: MIT
Description: ..
            This file is part of Python Client Library for WTSS.
            Copyright (C) 2020 INPE.
        
            Python Client Library for WTSS is free software; you can redistribute it and/or modify it
            under the terms of the MIT License; see LICENSE file for more details.
        
        
        =================================================
        Python Client Library for Web Time Series Service
        =================================================
        
        
        .. image:: https://img.shields.io/badge/license-MIT-green
                :target: https://github.com//brazil-data-cube/wtss.py/blob/master/LICENSE
                :alt: Software License
        
        
        .. image:: https://travis-ci.org/brazil-data-cube/wtss.py.svg?branch=master
                :target: https://travis-ci.org/brazil-data-cube/wtss.py
                :alt: Build Status
        
        
        .. image:: https://coveralls.io/repos/github/brazil-data-cube/wtss.py/badge.svg?branch=master
                :target: https://coveralls.io/github/brazil-data-cube/wtss.py?branch=master
                :alt: Code Coverage Test
        
        
        .. image:: https://readthedocs.org/projects/wtss/badge/?version=latest
                :target: https://wtss.readthedocs.io/en/latest/
                :alt: Documentation Status
        
        
        .. image:: https://img.shields.io/badge/lifecycle-maturing-blue.svg
                :target: https://www.tidyverse.org/lifecycle/#maturing
                :alt: Software Life Cycle
        
        
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                :target: https://github.com/brazil-data-cube/wtss.py/releases
                :alt: Release
        
        
        .. image:: https://img.shields.io/pypi/v/wtss
                :target: https://pypi.org/project/wtss/
                :alt: Release
        
        
        .. image:: https://img.shields.io/discord/689541907621085198?logo=discord&logoColor=ffffff&color=7389D8
                :target: https://discord.com/channels/689541907621085198#
                :alt: Join us at Discord
        
        
        About
        =====
        
        
        **W**\ eb **T**\ ime **S**\ eries **S**\ ervice (WTSS) is a lightweight web service for handling time series data from remote sensing imagery. Given a location and a time interval you can retrieve the according time series as a list of real values.
        
        
        In WTSS a coverage is a three dimensional array associate to spatial and temporal reference systems.
        
        
        .. image:: https://raw.githubusercontent.com/brazil-data-cube/wtss.py/master/docs/sphinx/img/image-time-series.png
            :target: https://github.com/brazil-data-cube/wtss.py/blob/master/docs/sphinx/img/image-time-series.png
            :width: 240
            :alt: Coverage as a three dimensional array
        
        
        WTSS is based on three operations:
        
        - ``list_coverages``: returns the list of all available coverages in the service.
        
        - ``describe_coverage``: returns the metadata of a given coverage.
        
        - ``time_series``: query the database for the list of values for a given location and time interval.
        
        
        If you want to know more about WTSS service, please, take a look at its `specification <https://github.com/brazil-data-cube/wtss-spec>`_.
        
        
        Installation
        ============
        
        
        Linux, macOS, and Windows users can get ``wtss`` from the `Python Package Index <https://pypi.org/project/wtss/>`_ with a recent version of ``pip``::
        
            pip install wtss
        
        
        .. note::
        
            If you want to install the Matplotlib support, use the following command::
        
                pip install wtss[matplotlib]
        
        
        Documentation
        =============
        
        
        See https://wtss.readthedocs.io/en/latest/.
        
        
        References
        ==========
        
        
        VINHAS, L.; QUEIROZ, G. R.; FERREIRA, K. R.; CÂMARA, G. `Web Services for Big Earth Observation Data <http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/44004>`_. Revista Brasileira de Cartografia, v. 69, n. 5, 18 maio 2017.
        
        
        License
        =======
        
        
        .. admonition::
            Copyright (C) 2020 INPE.
        
            Python Client Library for WTSS is free software; you can redistribute it and/or modify it
            under the terms of the MIT License; see LICENSE file for more details.
        
        
        ..
            This file is part of Python Client Library for WTSS.
            Copyright (C) 2020 INPE.
        
            Python Client Library for WTSS is free software; you can redistribute it and/or modify it
            under the terms of the MIT License; see LICENSE file for more details.
        
        
        Changes
        =======
        
        
        Version 0.7.0-1
        ---------------
        
        
        Released 2020-09-14
        
        
        - Improved integration with Jupyter Environment: #25.
        
        - Improved ``plot`` method for ``TimeSeries``.
        
        - Added Unit-tests.
        
        - Fixed small typos in documentation.
        
        
        Version 0.7.0-0
        ---------------
        
        
        Released 2020-09-11
        
        - Basic integration with Jupyter Environment and Matplotlib.
        
        - Command Line Interface (CLI).
        
        - Documentation system based on Sphinx.
        
        - Documentation integrated to ``Read the Docs``.
        
        - Installation and build instructions.
        
        - Package support through Setuptools.
        
        - Installation and usage instructions.
        
        - Travis CI support and PyPI deploy.
        
        - Unit-test environment set.
        
        - Source code versioning based on `Semantic Versioning 2.0.0 <https://semver.org/>`_.
        
        - License: `MIT <https://github.com/gqueiroz/wtss.py/blob/master/LICENSE>`_.
Keywords: Web Time Series Service,Time series,Earth Observations
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: GIS
Description-Content-Type: text/x-rst
Provides-Extra: docs
Provides-Extra: examples
Provides-Extra: tests
Provides-Extra: matplotlib
Provides-Extra: all
