the role of metadata and gi in spatial planning and sdi
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The role of metadata and GI in spatial planning and SDI
Karel Charvat, Stepan KafkaHelp Service Remote Sensing
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Spatial plan and INSPIRE
• Spatial planning acts between all levels of government so planners face important challenges in the development of territorial frameworks and concepts every day.
• All tasks and processes must be solved comprehensively with input from various source
• It is necessary to make inputs interoperable because it allows the user to search data from different sources, view them, download them and use them with help of geoinformation technologies.
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Spatial plan and INSPIRE
• Spatial plans are very important source of information about future evolution of word around us.
• From this point of view this information should be accepted by INSPIRE. Some INSPIRE
• Themes are directly dealing with this type of information (Land use), but many of them may be affected too (e.g. Transport network, Hydrography, Production and industrial facilities etc).
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Role of Metadata in spatial plan lifecycle
• We have consider two roles of metadata in spatial plan lifecycle:
• Evidence of all relevant document and their status during plan preparation and acceptation phase
• Discovery functionality, when plan come to force
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Spatial plan life cycle events and time aspects according to Czech legislation.
Preparation phase In force
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• So the metadata has to support both this functionality, to help the administration to manage planning processes, but also in later stage support access to planning documentation
• Plan4all metadata profile aims at making spatial plans comprehensible and comparable.
• Spatial plan metadata contains metadata of the spatial plan as a whole and can catalogue spatial plans on any level (regional, state, European).
• Because one spatial plan consists of many components, e.g. textual documents, maps in paper as well as in digital form, individual components may be optionally described by independent metadata records with links to the corresponding spatial plan.
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Using metadata profile for cataloguing spatial plans
• This wide experience gives opportunity to reuse these standards and infrastructure for cataloguing spatial plan the same way. The spatial plan may be seen as complex dataset composed not only from digital data but also some documents, map compositions etc. with some legal aspects (pic 1). Spatial representation of spatial plan is crucial. It is comprised of– Data with some legal influence (e.g. land use)– Data with informative character coming into spatial plan as
updates of existing datasets during the process of spatial plan design or created with informative status (e.g. view points, tourist routes, infrastructure etc.)
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Spatial plan structure
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Discovery
• This basic metadata level may be used for evidence and catalogue searching. It provides basic information about spatial plan as a whole. No structure description is required at this level. The spatial plan may be described as one MD_Metadata record with the structure not much wider than INSPIRE profile.
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Evaluation + use• Metadata of each dataset contained in spatial plan. Because the
data coming into spatial plan are very different, quality parameters, scales, time aspects are very important for right interpretation and reuse.
• Application schema of the data (on each dataset or as a whole depending on implementations) in some modeling language enabling to describe– Fetaure types– Attributes– Domains– Relations between features - This description is not part of metadata
profile itself but should be provided together with spatial plan data and metadata record should link to this file. This model may be starting point for automatic data conversion to other schemas e.g. INSPIRE theme.
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Possible components of spatial plan
Spatial plan metadata (M)
Dataset Metadata
Application schema Dataset
Metadata Dataset
Metadata
parentIdentifier
softwareDevelopmentFile uri
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Feature level metadata
• If the spatial plan plays role as source for other datasets (e.g. INSPIRE land use theme), traceability issues are very important for resulting dataset handling and interpretation. For example if member country provides some harmonized layer not only vertically (schema transformation) but also horizontally (combining data from different sources and regions - see picture 5), the feature-level metadata should be only way to keep needed information.
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Inheritance of metadata during schema conversion
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Features coming from 3 different sources
Metadata id=1
Metadata id=2
Metadata id=3
xlink:href=“#3“
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Metadata creation
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Metadata creation
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Metadata import
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Metadata editng
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Metadata discovery