INSPIRE 2013 Firenzeinspire.ec.europa.eu/events/conferences/inspire_2013/pdfs... · 2013. 7. 1. ·...
Transcript of INSPIRE 2013 Firenzeinspire.ec.europa.eu/events/conferences/inspire_2013/pdfs... · 2013. 7. 1. ·...
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PLAN4BUSINESS A Service Platform for Aggregation, Processing and Analysis of
Urban and Regional Planning Data INSPIRE 2013 Firenze
Karel CHARVAT,
Help Service Remote Sensing, Czech Republic
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plan4business service platform
ANALYSES INTEGRATION STORAGE
Heterogeneous data sources USERS data integration
data access spatial analysis
Service Platform
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”spatial planning data”
• land use data as defined by the INSPIRE Directive, • flood areas, • protected sites, • transport network, • cadastral parcels, • ...
“the territory characterised according to its current and future planned functional dimension or socio-economic purpose (e.g. residential, industrial, commercial, agricultural, forestry, recreational).” (European Commission 2010)
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OpenStreetMap topographic features
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Corine Land Cover
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CDDA National ecological networks of protected areas
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Natura 2000
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Other data sources European statistical information / EUROSTAT
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complexity data volume lower LoD
higher LoD
pan European data
spatial plans
LoD / level of detail
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Data integration
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Data integration
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Data integration
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Data integration
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Demonstration of the Platform Prototype http://whatstheplan.eu/
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Dynamic Search & Map Viewer
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Metadata Catalogue
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Analysis – Planned Roads and Flood Zone
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Combining Spatial and Non-Spatial Data
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Protected Areas
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EEA Urban Atlas
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Data Analysis
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Expert Analysis
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Using KML
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Examples
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Examples
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Dep
loym
ent
& D
eliv
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Chan
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Slide Number 1Service PlatformSlide Number 3”spatial planning data”OpenStreetMapCorine Land CoverSlide Number 7Slide Number 8Slide Number 9Slide Number 10Slide Number 11Data integrationData integrationData integrationData integrationDemonstration of the Platform PrototypeDynamic Search & Map ViewerMetadata CatalogueAnalysis – Planned Roads and Flood ZoneCombining Spatial and Non-Spatial DataProtected AreasEEA Urban AtlasData AnalysisExpert AnalysisUsing KMLExamplesExamplesDeployment & Delivery Channels