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2 results

  • A Unified Indexing Strategy for the Mixed Data of a Future Marine GIS

  • Tao Liu, Xie Han, Jie Yang, Liqun Kuang
  • Journal:
    The Journal of Navigation / Volume 70 / Issue 4 / July 2017
    Published online by Cambridge University Press:
    06 February 2017, pp. 735-747
    Print publication:
    July 2017

  • Spatial indexing technology is widely used in Geographic Information Systems (GIS) and spatial databases. As a data retrieval technology, spatial indexing is becoming increasingly important in the big-data age. The purpose of this study is to propose a unified indexing strategy for the mixed data of a future marine GIS. First, data organisation of the system is described. Second, the display condition of each type of data is introduced. These conditions are the basis for the construction of a unified indexing structure. Third, a unified indexing structure for mixed data is presented. The construction process and the search method of the indexing structure are described. Finally, we implement the indexing strategy in our system “Automotive Intelligent Chart Three-dimensional Electronic Chart Display and Information Systems” (AIC 3D ECDIS). Our strategy can provide fast and integrated data retrieval. The spatial indexing strategy we propose breaks through the limitation of data types in our system. It can also be applied in other GIS systems. With the advent of the big-data age, mixed data indexing will become more and more important.

  • 4 - Retrieving the data

    • By John Carlisle, Department of Anaesthetics, NHS Torbay Hospital, Torquay, Devon, UK
  • Edited by Ann Møller, KAS Herlev, Copenhagen, Tom Pedersen, Rigshospitalet, Copenhagen
  • Book:
    Evidence-based Anaesthesia and Intensive Care
    Published online:
    05 September 2009
    Print publication:
    09 October 2006, pp 19-27

  • Summary

    This chapter discusses the methods of data retrieval and storage that help us to subsequently extract and analyse outcomes, bias and confounding factors, with particular reference to the systematic review of experimental studies. It helps us to begin by planning, piloting and redrafting our data extraction form. We can retrieve the data for each study into a separate paper, record, and then compare the results and integrate them, usually systematically by transferring the extracted data into a program like RevMan. The electronic retrieval form is a convenient place to record our search strategies. It is both easy to copy and to erase electronic files. A simple solution to keeping track of multiple versions of our file on various media is to name each saved file with the date and place that it is stored.