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Once it has become apparent from Step 0 that a given site is in principle fit for the setup of a
UCIT system, a next step is to actually work out a practical data structure. Once other
UCITs are in place, basic algorithms for visualisation and analysis may be reused. Often
small modification are necessary however.

  • Execute basic data processing:

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        • design an appropriate data structure,

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        • prepare raw data input for batch processing,

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        • process raw data into a UCIT format, and

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        • check data output.
      • Test standard analysis capabilities
      • Test basic visualization routines, and
      • Test a graphical user interface for easy access.

      Step 2: Identification of relevant CSIs

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      Although the data can be used to set up the UCIT backbone, this phase is responsible for the crucial link to coastal management problem(s). In fact this step of joint problem definition is the most important phase in the UCIT setup process. For implementation purposes problem definition along the lines of the 'basic' frame of reference is most suitable.*

      • Demonstrate the current state of the UCIT system

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      • Identify relevant CSIs
        • interaction with problem owner and future end user of the UCIT system
        • definition of the main management problems in terms of the 'frame of reference'
        • selection of the appropriate CSI *
      • Perform literature review and initial study
        • inventory of available procedures for CSI quantification
        • initial prototype algorithm development

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      Once a set of relevant CSIs, and algorithms for their quantification, has been established, it
      is important to test these in a practical case. This will reveal a range of additional practical requirements, such as the inclusion of aerial photographs of batch routines for automatic analysis, and potential technical improvements, such as addition of other data sources or data analysis techniques etc. This step is crucial to get support of all stakeholders.*

      • Implement relevant CSI(s) and fine tuning of UCIT backbone
        • interaction with problem owner and future end user of the UCIT system on the developed prototype algorithms
      • Rethink the benchmarking procedure
      • Rethink the prototype benchmarking procedure developed in Step 2
      • demonstration of the algorithms on a practical case

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