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The HABITATS Approach to Build the INSPIRE Infrastructure
Karel Charvát, Otakar Čerba, Štěpán Kafka, Tomáš Mildorf, and Přemysl Vohnout
Help Service Remote SensingNeusiedl am See, October 9 2013
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Technological objectives
• Data modeling and transformation• Architecture design and implementation
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Data Models and Transformation Process
Input and information sources: Content from project partners (questionnaires, inputs to deliverable), Reports from the EU level, INSPIRE TWG BR-HB-SD, Information from D3.1, D3.2 and INSPIRE TWG BR-HB-SD discussions, Analysis of good practice from other EU projects such as Plan4all, Humboldt
Main tasks: To assist end users to describe their current models using interactive
modelling tools To develop training materials and provide training sessions for users. To design the main transformation processes required for data sets, based on
the requirements activities
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Basic Transformations
Basic script for automated data merge of data maintained as multiple files
Basic data merge of data maintained in multiple file structure using free and opensource desktop application
Two solutions for data merging
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Basic Transformations
Basic SQL script for geometry extraction from multigeometry, further can be used as one setep in larger data transformation process
Basic geometry extraction from multigeometry using free and opensource desktop application
Two solutions for data extracting
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Advanced Transformations
Data Specifications 2.0
Habitats and biotopes
Harmonization
FMI Data
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Advanced Transformation – Schema
Open SHP fileand its scheme
Save finalSHP file
ReclassificationFMI → EUNIS
New datamodel
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New Data Model
Existing FMI data model +
referenceHabitatTypeId: CharacterStringreferenceHabitatTypeScheme: ReferenceHabitatTypeSchemeValuelocalSchemeURI: URIlocalNameValue: CharacterString
geometry: polygonreferenceHabitatTypeId: eunis_valuereferenceHabitatTypeScheme: eunislocalSchemeURI: link_to_FMI_classificationlocalNameValue: FMI_classification_value
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FMI Data
INSPIRE / HabitatsData
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Changing Architecture Paradigm
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Reference Laboratory (RL)
The HABITATS Reference Laboratory is a central hub with the support of global data, but also supporting cross scenarios implementations, and the HABITATS pilot applications, as implementations of single HABITATS pilot cases, which will also be used for testing the sharing of local data and metadata.
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Relation of RL to Pilots
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RL Architecture
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RL Advanced Principles
RL includes all basic Geoportal Functionality, but
Supports work with maps, not only with services,
Extends the INSPIRE services – use of KML,
Includes possibilities for Open Linked Data,
includes an option for embedding objects into HTML web sites.
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RL Approach
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RL Approach
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RL Approach
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WordPress GeoBlog
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INSPIRE in Pocket
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Motivation
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SuperCAT
For end-users operating services are crucial Availability Quality – service / data / metadata
Preparing catalogue of „clean services“ to ensure availability
First step - only WMS
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Establishment of SuperCAT
Harvesting existing catalogues
Catalogues CSW 2.0.2 ISO AP 1.0
Only services (type=service)
Periodically (P1D)
Sources
GEOSS registry
INSPIRE geoportal
Catalogues we know about
Problems
No central catalogue / we don’t know about services
Classical search engines did not succeed
Many catalogues do not response
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Steps Towards INSPIRE in Pocket HS-CAT
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View Services
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Cadastral Parcels
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KML Resources
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Liberec Example
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Liberec Example
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Liberec Example
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Thanks!
http://www.habitats.cz/