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workshop/content/docs/introduction.md

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@@ -54,7 +54,7 @@ The core design principles are as follows:
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- long term sustainability
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- modularity
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- extensibility
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- building on a large ecosystem of Free Open Source and OSGeo components such as GDAL, rasterio, Shapely, Pandas, Elasticsearch, PostGIS and many others
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- building on a large ecosystem of Free Open Source and OSGeo components such as GDAL, Rasterio, Shapely, Pandas, Elasticsearch, PostGIS and many others
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The project was initiated by [Tom Kralidis](https://github.com/tomkralidis). Within weeks, several talented
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developers joined the project, which led to the formation of a core team and [Project Steering Committee (PSC)](https://pygeoapi.io/community/psc). Contributions continued

workshop/content/docs/publishing/first.md

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!!! Tip
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To learn more about the pygeoapi configuration syntax and conventions see
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the [relevant chapter in the documentation](https://docs.pygeoapi.io/en/latest/configuration.html).
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the [relevant section in the documentation](https://docs.pygeoapi.io/en/latest/configuration.html).
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!!! Tip
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workshop/content/docs/publishing/ogcapi-coverages.md

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## pygeoapi support
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pygeoapi supports the OGC API - Coverages draft specification, with [rasterio](https://rasterio.readthedocs.io) and [xarray](https://docs.xarray.dev) as core backends
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pygeoapi supports the OGC API - Coverages draft specification, with [Rasterio](https://rasterio.readthedocs.io) and [xarray](https://docs.xarray.dev) as core backends
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as well as [CoverageJSON](https://covjson.org) and native output.
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!!! note
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## Publish a raster dataset
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In the previous exercises we have demonstrated the steps involved to publish vector data and update the pygeoapi configuration. In this section we are going to publish a raster file in GeoTIFF format, from a [rasterio](https://rasterio.readthedocs.io) source provider.
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In the previous exercises we have demonstrated the steps involved to publish vector data and update the pygeoapi configuration. In this section we are going to publish a raster file in GeoTIFF format, from a [Rasterio](https://rasterio.readthedocs.io) source provider.
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!!! question "Update the pygeoapi configuration"
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!!! tip
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The rasterio provider `format.name` directive **requires** a valid [GDAL raster driver short name](https://gdal.org/drivers/raster/index.html)
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The Rasterio provider `format.name` directive **requires** a valid [GDAL raster driver short name](https://gdal.org/drivers/raster/index.html)
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Save the configuration and restart Docker Compose. Navigate to <http://localhost:5000/collections> to evaluate whether the new dataset has been published.
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workshop/content/docs/publishing/ogcapi-edr.md

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Save the configuration and restart Docker Compose. Navigate to <http://localhost:5000/collections> to evaluate whether the new dataset has been published.
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At first glance, the `icoads-sst` collection appears as a normal OGC API - Coverages collection. Look a bit closer at the collection description, and notice
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that there is a `parameter_names' key that describes EDR parameter names for the collection queries.
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that there is a `parameter_names` key that describes EDR parameter names for the collection queries.
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Try visualizing the following EDR position query in a web browser: <http://localhost:5000/collections/icoads-sst/position?coords=POINT(174.7645%20-36.8509)>
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### OWSLib - Advanced
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>>> len(collections['collections'])
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>>> icoads_sst = w.collection('icoads-sst')
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>>> icoads_sst['parameter-names'].keys()
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>>> icoads_sst['parameter_names'].keys()
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dict_keys(['SST', 'AIRT', 'UWND', 'VWND'])
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>>> data = w.query_data('icoads_sst', 'position', coords='POINT(-75 45)', parameter_names=['SST', 'AIRT'])
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>>> data = w.query_data('icoads-sst', 'position', coords='POINT(174.7645 -36.8509)', parameter_names=['SST', 'AIRT'])
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>>> data # CoverageJSON data
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```
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</div>
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>>> len(collections['collections'])
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>>> icoads_sst = w.collection('icoads-sst')
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>>> icoads_sst['parameter-names'].keys()
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>>> icoads_sst['parameter_names'].keys()
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dict_keys(['SST', 'AIRT', 'UWND', 'VWND'])
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>>> data = w.query_data('icoads_sst', 'position', coords='POINT(-75 45)', parameter_names=['SST', 'AIRT'])
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>>> data = w.query_data('icoads-sst', 'position', coords='POINT(174.7645 -36.8509)', parameter_names=['SST', 'AIRT'])
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>>> data # CoverageJSON data
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```
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</div>

workshop/content/docs/publishing/ogcapi-edr.pt.md

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>>> len(collections['collections'])
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>>> icoads_sst = w.collection('icoads-sst')
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>>> icoads_sst['parameter-names'].keys()
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>>> icoads_sst['parameter_names'].keys()
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dict_keys(['SST', 'AIRT', 'UWND', 'VWND'])
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>>> data = w.query_data('icoads_sst', 'position', coords='POINT(-75 45)', parameter_names=['SST', 'AIRT'])
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>>> data = w.query_data('icoads-sst', 'position', coords='POINT(174.7645 -36.8509)', parameter_names=['SST', 'AIRT'])
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>>> data # dados CoverageJSON
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```
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</div>
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>>> len(collections['collections'])
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>>> icoads_sst = w.collection('icoads-sst')
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>>> icoads_sst['parameter-names'].keys()
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>>> icoads_sst['parameter_names'].keys()
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dict_keys(['SST', 'AIRT', 'UWND', 'VWND'])
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>>> data = w.query_data('icoads_sst', 'position', coords='POINT(-75 45)', parameter_names=['SST', 'AIRT'])
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>>> data = w.query_data('icoads-sst', 'position', coords='POINT(174.7645 -36.8509)', parameter_names=['SST', 'AIRT'])
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>>> data # dados CoverageJSON
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```
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</div>

workshop/content/docs/publishing/ogcapi-records.md

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## pygeoapi support
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pygeoapi supports the OGC API - Records specification, using Elasticsearch and TinyDB [rasterio](https://rasterio.readthedocs.io) as core backends.
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pygeoapi supports the OGC API - Records specification, using Elasticsearch and TinyDB as core backends.
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!!! note
2020

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