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  • Documentation
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  • Current Release Notes
  • Ferret Users Guide
    • Users Guide Index
    • Commands Reference
    • 1. Introduction
    • 2. Data Set Basics
    • 3. Variables & Expressions
    • 4. Grids & Regions
    • 5. Animations & Gif Images
    • 6. Customizing Plots
    • 7. Handling String Data Symbols
    • 8. Working with Special Data Sets
    • 9. Computing Environment
    • 10. Converting to NetCDF
    • 11. Writing External Functions
    • Glossary
    • Appendix A: Functions
    • Appendix B: PPLUS Guide
    • Appendix C: Ferret-Specific PPLUS Enhancements
  • Previous Release Notes
  • Tutorials and Demos
    • Ferret Tour
    • DSG files: Discrete Sampling Geometries Demo
    • Ferret sorting demo
    • Fast Fourier Transforms demo
    • Empirical Orthogonal Functions demo
    • Ferret objective analysis demo
    • Ferret Palette Demo
    • Map projections
    • Ferret polygon vector demo
    • Ferret Graticules demo
    • Ferret Polytube Demo
    • Ferret Polymark Demo
    • Ferret Constant-Array demo
    • Ferret land_detail demo
    • COADS Tour
    • Levitus Tour
    • Use OPeNDAP
    • Ferret binary read demo
  • PyFerret
    • PyFerret Downloads and Install ../../faq/ferret-faqs.html
    • What is PyFerret?
    • Why use PyFerret?
    • PyFerret for the Ferret user
    • PyFerret command syntax: quick-start notes
    • PyFerret for the Python user
    • Graphics in PyFerret ?
    • New Ferret functionality
    • PyFerret Python functions and constants
    • PyFerret Python objects and methods
    • Ferret external functions in Python
    • Ferret Fortran external functions
    • PyFerret metadata-and-data dictionaries
  • OPeNDAP
    • OPeNDAP usage in Ferret
    • Use OPeNDAP Demo
    • Test OPeNDAP

8. Working with Special Data Sets

  • 8.1 WHAT IS NON-GRIDDED DATA?
  • 8.2 POINT DATA
    • Getting point data into Ferret
    • How point data is structured in Ferret
      • Working with dates
      • Subsampling gridded fields onto point locations and times
      • Defining gridded variables from point data
      • Visualization techniques for point data
    • 8.3 VERTICAL PROFILES
      • How collections of profiles are structured in Ferret
      • Getting profile data into Ferret
      • Defining vertical sections from profiles
      • Visualization and analysis techniques for profile sections
      • Subsampling gridded fields onto profile coordinates
    • 8.4 COLLECTIONS OF TIME SERIES
      • 8.5 COLLECTIONS OF 2-DIMENSIONAL GRIDS
    • 8.6 LAGRANGIAN DATA
      • Visualization techniques for Lagrangian data
    • 8.7 SIGMA COORDINATE DATA
      • Visualization techniques for sigma coordinate data
      • Analysis techniques for sigma coordinate data
    • 8.8 CURVILINEAR COORDINATE DATA
      • Visualization techniques for curvilinear coordinate data
      • Analysis techniques for curvilinear coordinate data
    • 8.9 POLYGONAL DATA
      • Visualization techniques for polygonal data
      • Analysis techniques for polygonal data
    • 8.10 Discrete Sampling Geometries Datasets