Topic outline

  • General

    Overview

    Data visualization is the science of describing the significance of data by placing it in a visual context. In the current scenario it is very useful for dealing with marine met data as patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.

    The current course will demonstrate the use of open source software FERRET for generation of NetCDF data and visualize various types of plots, save and reuse them at a later stage. The course is designed to be a mix of both practical and theoretical sessions.

    Aims and Objectives

    • Provide an exposure to Data Visualization using FERRET.
    • Generation of scripts to visualize various types of data sets (1D, 2D, 3D etc).
    • Perform data analysis, generate added value products.

    Learning Outcomes

    • Knowledge and understanding of FERRET software.
    • Generation of different types of JNL scripts for visualization and analysis.
    • Able to visualize data set viz., in situ, remote sensing and model outputs.
    • Tools for visualizing different types of ocean data  and data products.

    Target Audience

    Target audiences include, but are not limited to, the following:

    • Ocean and atmosphere data managers.
    • Researchers intending to use data products for scientific analysis.
    • Research scholars at various universities.

    Course Pre-requisites:

    • Candidates should have knowledge of data formats in which most of the oceanographic data sets are available;
    • Candidates should be preferably working in institutions responsible for the management of oceanographic and/or atmospheric data;
    • Good working knowledge of English;
    • Participants should preferably bring their own laptops.

    Instructors

    Venue: INCOIS, Hyderabad, India

    Dates: 27 - 31 August 2018

    List of participants

  • L1: Introduction to Visualization of data sets And Data holding at INCOIS

    by TVS Udaya Bhaskar

  • P1: Introduction to Ferret using “Tutorial”

    by TVS Udaya Bhaskar

  • L2: Visualization of different types of plots

    by TVS Udaya Bhaskar

  • P2: Handling multiple plots using viewports and windows

    by TVS Udaya Bhaskar

    • L3: Derived variables generation, use of transformation

      by TVS Udaya Bhaskar

    • P3: Hands on derived variables and use of transforms

      by RUVN Satish & Pavan Kumar J

      • L4: Re-gridding the files to different resolutions

        by TVS Udaya Bhaskar

      • P4: Hands on of re-gridding of data

        by Pavan Kumar J & RUVN Satish

        • L5: Generation of 1D /2D/3D NetCDF files

          by TVS Udaya Bhaskar

          • P5: Hands on generation of 1D NetCDF files

            by Pavan Kumar J & RUVN Satish

            • L6: Generation of 1D /2D/3D NetCDF files continued

              by TVS Udaya Bhaskar

              • P6: Hands on 2D/3D NetCDF files generation

                by Pavan Kumar J & RUVN Satish

                • P7: Hands on 2D/3D NetCDF files generation

                  by TVS Udaya Bhaskar & Pavan Kumar J.

                  • L7: Use of runtime variables and “go” files for automation

                    by TVS Udaya Bhaskar

                    • L8 & P8: Hands on using runtime variables and "go" files.

                      by TVS Udaya Bhaskar & Pavan Kumar J.

                      • L9 & P9: Intro to statistical analysis & Hands on to statistical analysis

                        by Pavan Kumar J & RUVN Satish

                        • P10: Mini Project using sample data sets

                          by Pavan Kumar J & RUVN Satish

                          • Mini Project continued and Evaluation

                            • Feedback survey

                              Please complete the feedback survey on your opinions on the course.The survey seeks to find out about your views of the course and will provide feedback to OTGA and INCOIS on ways to improve the learning process, administration, facilities and logistic arrangements. Your views are important for continual improvement. The survey is anonymous.

                              Link to the online feedback survey