• Users visiting Dublinked to explore data and potentially share the results

• How to view geospatial (map) data in the platform
• How to access the map explorer from a dataset or from the Map Explorer in the main menu
• How to add datasets to the map explorer
• How to share the map you have produced

• The geospatial format that Dublinked currently supports in its map viewer is WMS. This is created when the data publisher loads either a GeoJSON or KML format resource to the Dublinked geoserver.
• There are two ways to access the map viewer, either from the main menu, or via the preview map created for a WMS resource

Select Map Viewer on the main menu Use the Add Data button and the data catalog will now open. From here you can select any data of interest, browsing it either by category or publisher, or using a text search (NB, exact text match search): Use the + symbol to add the data to the map. You will now see the data on the map:

Select a dataset of interest that has a resource in WMS format (select WMS format on the datasets selection page). These are the GeoJSON and KML format files that have been uploaded to the Dublinked geoserver, and so have maps available on the site. For this example I selected “DCC Public Bin Locations”.

On the dataset page, scroll down to the map viewer where you will see (in this case) the bin locations.

You can zoom in and out of the map to see more detail.

To add more datasets to the map, use the “Add Data” button. The data catalog will now open and from here you can select any data of interest, browsing it either by category or publisher, or using a text search (*NB, exact text match search*):

I decide to add “Public Lighting DCC”, I click on the dataset and get a preview of the data: I now use the “Add to the map” button on the preview to add the data.

On the map, I now see the bin data along with the lighting data. I can zoom in and out for more detail.

Any datasets that are published in WMS format can be added to the map view.

• Adding a geospatial resource (file)
• Copying styling from an existing dataset