Pygeohydro

-------------------

Bug Fixes
~~~~~~~~~
- Fix an issue in ``NID.stage_nid_inventory`` where the function was failing
when the response status code was 206 (partial content). This issue is fixed
by checking the response status code and if it's 206, the function will continue
reading the headers and the get the modified date from the response headers.
Also, the function incorrectly didn't check if the local database was up-to-date
with the remote database when the processed database already existed. Now, the
function will check changes in the remote database and re-download the data even if
necessary even if the processed database exists.

-------------------

Internal Changes
~~~~~~~~~~~~~~~~
- More robust handling of failed download links for eHydro data.
For example, sometimes, eHydro web service uses placeholder as actual
links. There are also cases where links are in the database but they
are dead.
- Add the ``exceptions`` module to the high-level API to declutter
the main module. In the future, all exceptions will be raised from
this module and not from the main module. For now, the exceptions
are raised from both modules for backward compatibility.

Bug Fixes
~~~~~~~~~
- In ``EHydro`` class, sometimes the requested surveys are not in the same CRS,
so they couldn't be combined into a single ``GeoDataFrame``. This issue is fixed
by reprojecting all the requested surveys to 5070 CRS before combining them.

-------------------

Bug Fixes
~~~~~~~~~
- In ``nlcd_helper`` function the roughness value for class 82 was set to 0.16
instead of 0.037.

New Features
~~~~~~~~~~~~
- Converted all methods of ``NWIS`` class to ``classmethod`` so the class can be used
without instantiating it. This change makes the class more flexible and easier to use.
- In ``NID`` class, the ``stage_nid_inventory`` method now checks if the remote NID
database has been modified since the last download and only downloads the new data
if it has been modified. This change makes the method more efficient and reduces the
network traffic while ensuring that the local database is always up-to-date.

-------------------

Breaking Changes
~~~~~~~~~~~~~~~~
- Bump the minimum supported version of ``shapely`` to 2.

Internal Changes
~~~~~~~~~~~~~~~~
- Update the link to NWIS error codes tables in the ``nwis_errors`` function.
- Update ``NWIS`` class based on the latest changes to the NWIS web service.
- Use the default tiles for the ``interactive_map`` function.

-------------------

New Features
~~~~~~~~~~~~
- Add a new attribute to ``EHydro`` class called ``survey_grid``.
It's a ``geopandas.GeoDataFrame`` that includes the survey grid
of the eHydro dataset which is a 35-km hexagonal grid.
- Add support for getting point cloud and survey outline data from
eHydro. You can set ``data_type`` in ``EHydro`` to ``bathymetry``,
``points``, ``outlines``, or ``contours`` to get the corresponding
data. The default is ``points`` since this is the recommended data
type by USACE.
- Add ``NFHL`` class within ``nfhl`` module to access FEMA's
National Flood Hazard Layer (NFHL) using six different ArcGISRESTFul
services. Contributed by
`Fernando Aristizabal <https://github.com/fernando-aristizabal>`__.
(:pull_hydro:`108`)

Internal Changes
~~~~~~~~~~~~~~~~
- Remove dependency on ``dask``.
- Move all NLCD related functions to a separate module called ``nlcd``.
This doesn't affect the API since the functions are still available
under ``pygeohydro`` namespace.

-------------------
This release provides access to three new datasets:

- USACE Hydrographic Surveys (eHydro) and
- USGS Short-Term Network (STN) Flood Event Data,
contributed by `Fernando Aristizabal <https://github.com/fernando-aristizabal>`__.
(:pull_hydro:`108`)
- NLCD 2021

New Features
~~~~~~~~~~~~
- Add support for getting topobathymetry data from USACE Hydrographic
Surveys (eHydro). The new class is called ``EHydro`` and gives users
the ability to subset the eHydro dataset by geometry, ID, or SQL queries.
- Add new ``stnfloodevents`` module with ``STNFloodEventData`` class for
retrieving flood event data from the
`USGS Short-Term Network (STN) <https://stn.wim.usgs.gov/STNWeb/#/>`__
RESTful Service. This Python API abstracts away RESTful principles and
produces analysis ready data in geo-referenced GeoDataFrames, DataFrames,
lists, or dictionaries as desired. The core class methods available are
``data_dictionary``, ``get_all_data``, and ``get_filtered_data``.
These class methods retrieve the data dictionaries by type, get all the
available data by type, and make filtered requests for data by type as well,
respectively. The four types of data include ``instruments``, ``peaks``,
``hwms``, and ``sites``.
Contributed by `Fernando Aristizabal <https://github.com/fernando-aristizabal>`__.
- Add a wrapper function for the ``STNFloodEventData`` class called
``stn_flood_event``.
- Add support for the new NLCD data (2021) for the three supported layers.