data transformation towards inspire land use theme v2 · pdf filefrench data transformation...

French data transformation

towardsINSPIRE Planned Land

Use

Plan4All project feedback

Jean-Loup DELAVEAU CERTUCOVADIS secretary

Ministry of Ecology, Sustainable development and Energy

www.certu.fr

KEN INSPIRE workshop8-10-2013 2

Outline

● Plan4All test phase– Objectives– Principles

● Method, ressources and tools● Transformation prototype● Demo of prototype● Feedback : issues and perspective


Plan4All test phase

● Goal : feasibility evaluation of data transformation

– Evaluation of consistency between french data and INSPIRE:Land Use theme 2.0

– Conceptual mapping– Transformation rules specification– Gap analysis – Data transformation using a specific prototype

● Team work● Fast development

– constrained schedule– 15 days work


Transformation principles

● Seamless and impactless for data producers

Standard-based – OGC : GML 3.2.1, WFS 1.1– W3C : XSLT 1.0, XSL 1.0

● Format and software independant– Open Format– Open Source

● Feasability test using a client tool● Web service deployment capabilities


Start point

Planned Land Use

French data geostandard for urban planning

5 standardized PLU datasets

(Mapinfo format)

Ministry's SDINon-Inspire WFS

discover

view

download


Many small datasets

● 5 datasets– 1 PLU, 1 POS (DDT

38)– 2 POS (DDT 05)– 1 PLU (DDT 35)

O5

38

O4


● Steps & resources

COVADIS geostandard

PLU-POS

WFS server(Mapserver)

ESDIN mapping

framework

TalendXSLT

XMLSpyQGIS

Transformation method


Challenge

COVADIS data structure

plu.SpatialPlan

plu.ZoningElement

plu.SupplementaryRegulation

plu.TextualRegulation

Target GML structure


Transformation prototype

SDI emulator Client-side transformation tool


Let continue with a demo...

● Chained tools and frameworkTools Roles

UMN MapServerWeb feature service delivering standardized data

Talend Open Studio

Development platform for the local transformation tool● WFS server calls ● Workflow orchestration

XSLT library

XML transformation engine used to transform WFS payload in INSPIRE compliant GML file

QGISXMLSpy

Output GML Data parsing and display Output GML Data validation


Orchestration


Mapping gaps

Target element Problem Solution found during test

-beginLifespanVersion-endLifespanVersion-ordinanceReference

Missing dates in source datasets

Target element is empty with a void value reason as "missing"

-InspireId.localId No identifier on classes ZoneUrba, Prescription et Information

Computation of an id during the transformation process. An incremental number is assigned to distinguish each zoning object

documentLinktextualRegulation

Missing URL in source datasets

Copy of file name by default

restriction roleplan role

Missing associations at object level

Construction of association during the transformation process

Other thematic gaps in codelist values

Cf. Mapping table results A comment has been done of each serious gap found


Display in QGIS


Conclusion

● The main issue is organisation– Previous data standardisation makes work easier– Geostandardization decreases cost of transformation

● GML edition and parsing is two challenges● A team is needed to fulfill INSPIRE requirements● Prototype advantages

– Generic method– Independance between data diffusion and data

transformation– Transformation of complete database

● Limits and drawbacks– Same data are managed in two formats– Transformed data are local and need still to be published


Thinkings

● GML is a langage to produce open data exchange formats

● Local transformation is not a good solution● Where do we need Inspire GML ?

– Between spatial data infrastructure– For GIS collaboration needs

● In a perfect world, data producers et users don’t have to produce or manage GML data

data transformation towards inspire land use theme v2 · pdf filefrench data transformation...

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