An Enhanced Visualization Service based on Geospatial and - - PowerPoint PPT Presentation

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An Enhanced Visualization Service based on Geospatial and - - PowerPoint PPT Presentation

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An Enhanced Visualization Service based on Geospatial and Statistical Linked Open Data Monica Scannapieco, Pasquale Testa IT Unit on Information Systems for Statistics Pina Grazia Ticca, Sonia Scialanca Geographic Information System Unit

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Monica Scannapieco, Pasquale Testa – IT Unit on Information Systems for Statistics Pina Grazia Ticca, Sonia Scialanca – Geographic Information System Unit Istat - Italy

An Enhanced Visualization Service based on Geospatial and Statistical Linked Open Data

Brussels, NTTS, 10-12 March 2015

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 2

Outline

  • Visualization of Geospatial Data

– Geographical Information Systems (GISs) – Linked Geo Data

  • Illustration of possible scenarios with

implementation examples

  • Conclusions
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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 3

Background: Geographical Information Systems

  • Geographical Information

Systems (GISs) enabling interactive visualization, e.g.:

– Explore different layers of maps – Zoom in or out – Change visual appearance

  • f maps
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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 4

Background: LOD & Linked Geo Data

  • Family of Semantic Web standards to formal

model and query data on the Web

– Data Modelling: Resource Description Framework (RDF), RDF Schema, Ontology Web Language (OWL) – Data Querying/ Information Discovery: SPARQL (SPARQL Query Language for RDF)

  • GeoSPARQL - A Geographic Query

Language for RDF Data – Modelling and querying of geospatial data

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 5

Scenario 1: Integrating Linked Open data Platform and GIS

Visualization Layer as part

  • f the GIS
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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 6

Scenario 2: Querying of Linked Geo Data

Visualization Layer as part

  • f the LOD

Portal

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 7

Implementing Scenario 1

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 8

Geospatial data published through MapServices using Gistat platform

Geographical layers available

  • Admin areas: Regions,

Provinces, Municipalities

  • Census entities: Localities,

Enumeration areas, sub- urban areas

  • Basemaps and references

maps

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 9

Example 1: SPARQL results queried by Gistat

Selection of commuting indicators (pendolarismo) for all enumeration areas of San Marcello municipality of the region Marche

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 10

Example 1: Visualization of the query result as a thematic map Filter the EAs Thematic on a statistic field Display on top

  • f a reference

map

Sezioni2011 - Number of commuting pepole (enumeration areas)

2 - 15 16 - 33 34 - 56 57 - 117 118 - 234

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 11

Example 2: SPARQL results queried by Gistat

Selection of indicators related to families (Famiglie) for all enumeration areas of Terni municipality of the region Umbria

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 12

Example 2: Visualization of the query result as a thematic map (one-person families -Terni)

Filter the EAs Thematic on a statistic field Display on top

  • f a reference

map

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 13

Implementing Scenario 2

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 14

Implementation steps

  • Modelling geospatial concepts
  • Mapping geospatial concepts to data
  • Query specification / Visualization
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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 15

Modelling Linked Geo Data

:Comune rdfs:subClassOf

  • gc:Feature .

:SezCens rdfs:subClassOf

  • gc:Feature .

:exactGeometry rdfs:subPropertyOf

  • gc:hasGeometry .

:Roma rdf:type :Comune . :SezCens1 rdf:type :SezCens . :SezCens1 :haPopolazioneResidente “123456"^^xsd:integer . :SezCens1 :exactGeometry :geo1 . :geo1

  • gc:asWKT

"Polygon((…))"^^ogc:wktLiteral . :SezCens1

  • gc:sfWithin

:Roma . :Roma :exactGeometry :geo2 . :geo2

  • gc:asWKT

"Polygon((…))"^^ogc:wktLiteral .

Meta Information Non-spatial Properties Spatial Properties

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 16

Visualization: an example

  • Slippy Map refers to modern web maps which let

you zoom and pan around (the map slips around when you drag the mouse)

  • LGD Browser and Editor:

http://browser.linkedgeodata.org/

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 17

Comparing the two scenarios

Visualization and Geospatial Querying Query flexibility M-to-M access Geospatial Modelling efforts Scenario 1 Integrated with GIS + Design time

  • To be

implemented

  • Native

+ Scenario 2 Adhoc

  • Query

time + Native + To be implemented

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 18

A possible solution: Scenario 1+2

The two architectures are integrated:

  • On the

backend exchangin g data

  • On the

frontend serving different user categories

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Monica Scannapieco, NTTS, Brussels, 10 -12 March 2015 19

Conclusions

  • Linked Geospatial data are a key point for future

spatial web data integration, providing unique URIs and exposing its content as Linked Data

  • Different architectures for visualization of

Geospatial linked open data can co-exist in NSIs

Questions?