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GTWS-1: Choropleth map of population density (per square kilometer) of landlocked countries in the world Figure 8 shows a second sample map of the GTWS-1 implementation: a proportional symbol map of nominal gross domestic product (GDP) per capita of all countries in the world. In this case, the SPARQL query to DBpedia retrieved the nominal GDP per capita for all the countries; the sql importer imported the data into the spatial database; a new table was created through a join; and a point symbol style created.

GTWS-1: Choropleth map of population density (per square kilometer) of landlocked countries in the world Figure 8 shows a second sample map of the GTWS-1 implementation: a proportional symbol map of nominal gross domestic product (GDP) per capita of all countries in the world. In this case, the SPARQL query to DBpedia retrieved the nominal GDP per capita for all the countries; the sql importer imported the data into the spatial database; a new table was created through a join; and a point symbol style created.

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Figure 3. Conceptualised diagram of a geospatial thematic web service...
Figure 4. GTWS-1: Importer
Figure 5. GTWS-2: Middleware GTWS-2 retrieves attributes from the LOD...
Figure 6. GTWS-3: Extension
+3 Figure 7. GTWS-1: Choropleth map of population density (per square...
Towards Standardized Geospatial Web Services for Thematic Maps: Combining Attributes from the Linked Open Data Cloud with Geometry in a Spatial Database Server.
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  • May 2019
The open data movement has resulted in many datasets on the Web to be freely available for anyone to use and republish as they wish. The Linked Open Data (LOD) cloud is an example in the form of billions of Resource Description Framework (RDF) triples on the Web. Visualizing such open data in thematic maps provides a powerful spatial analysis tool...
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Contexts in source publication

Context 1
... connection to the database was created in GeoServer from where the table was published as a layer through GeoServer's implementation of OGC WMS 1.3.0. The layer can then be visualized by sending a GetMap request to the WMS, see Figure 7. ...
Context 2
... Open Data Cloud Figure 7. Results of a GetMap request for world_countries ...
Context 3
... first style distinguished between landlocked and non-landlocked countries and the second style on population density of landlocked countries. Figure 7 shows the resulting choropleth map image. ...