Using
Linked Open Geo Boundaries
for Adaptive Delineation of Functional Urban Areas

Ali Khalili
Peter van den Besselaar
Klaas Andries de Graaf


https://slidewiki.org/deck/111329


3rd International Workshop on Geospatial Linked Data, ESWC 2018

Functional Urban Areas (FUAs)

  • defined by OECD in collaboration with EC/Eurostat

  • consider factors beyond the predefined city boundaries to better reflect the economic geography of where people live and work

    • population
    • area
    • GDP
    • environment (CO2 emissions and air pollution)
    • labour market (employment and unemployment growth)
    • innovation (patent intensity)
    • urban form and territorial organization


OECD Metropolitan eXplorer: http://measuringurban.oecd.org

FUAs: Example

FUA Example

Challenges

  • Spatial data often has a temporal component; things move, and boundaries change over time.

  • Even though using FUAs to measure metropolitan areas provides a basis for an agreed definition of urban areas, to support the design of better policies for different types of urban areas, one needs to weight some factors more than others or use additional factors, which are not predefined in the current OECD methodology.

  • The OCED data (for both shapefiles and methodology) are not FAIR-enough to reproduce the predefined FUAs.

Our Contribution

Building a Linked Open Data Space for Flexible Delineation of Geographic Areas

Linked Data-based

 
FGA

Methodology

Steps

LOD lifecycle

Step 1: Data Discovery & Collection

  • OpenStreepMap (OSM)

  • Database of Global Administrative Areas (GADM)

  • Flickr Shapefiles Dataset

  • Published Shapefiles for Individual Countries

  • Published Geospatial RDF Datasets step1

Open Geo Boundaries

ob

Open Geo Boundaries: Example

levels

Step 2: Data Extraction & Conversion

de

Metadata for Geo Boundaries

Metadata about different levels provided by OSM

metadata

Step 3: DATA STORAGE & QUERYING

Virtuoso Geo Spatial Geometry as internal representation for Geo-data in RDF

ds

Data Linkage

  • Query on metadata about the administrative boundaries

  • Find the alignment between levels in different datasets

  • Check the overlaps of areas at the similar level, and for the matching areas apply string matching to make sure that they refer to the same administrative boundary

Step 5: Data to Service

http://api.sms.risis.eu/

API

Types of Geo Services

  • Find administrative boundaries containing a given point (e.g. PointToOSMAdmin).

  • Find details of a given administrative boundary (e.g. OSMAdmin).

  • Find (multi-)polygon shapes of a given administrative boundary (e.g. OSMAdminToPolygon).

  • Find FUAs related to a given administrative boundary(e.g. BoundaryToOECDFUA) or a given point (e.g. PointToOECDFUA). In case of adaptive FUAs, for a given indicator, the service will return its corresponding FUA.

Service to Application

Google spreadsheet's add-ons for geocoding addresses in a spreadsheet googleAddson

Google Spreadsheet Adds-on

Geo-enrichment User Interface

http://sms.risis.eu

smsGeo

Geo-enrichment User Interface

Geo-data Exploration

geoEx




Use Case:
Investigating the effect of regional socio-economic properties of innovative activities, as stimulated by recent RTD policies in the Netherlands.

Methodology



usecase

Results

case

Conclusion

  • In this work, we employed Linked Data technologies to establish an open data space to more flexibly delineate FUAs by intergrating spatial and non-spatial data from the openly available data sources on the Web.

FGAs

  • As future work, we envisage to analyze the quality of the interlinked data by applying the services to several real-world scenarios.

Any Questions?

questions