1st Joint Commission 2 and IGFS Meeting
International Symposium on
Gravity, Geoid and Height Systems 2016

September 19-23, 2016
Thessaloniki, Greece

MAP-LAB: A MATLAB Graphical User Interface for generating maps for geodetic and oceanographic applications

20/09/2016 | 16:30 | Session 3: Local/regional geoid determination methods and models

Author(s):

Dimitrios Piretzidis and Michael Sideris

Abstract

MAP-LAB is a MATLAB-based Graphical User Interface (GUI),created for producing maps and visualizing data sets related to geodetic and oceanographic applications. The purpose of this GUI is to provide MATLAB users and researchers with an easy-to-use software to generate maps without writing scripts. MAP-LAB utilizes the capabilities of the m_map mapping toolbox. The user can choose among several projection, coastline, grid and plotting options. A total of 19 projections are implemented into the software, including azimuthal, cylindrical, pseudo-cylindrical and conic projections. The coastline resolution can also be defined by the user, who can choose among five different resolutions of the Global Self-consistent, Hierarchical, High-resolution Geography (GSHHS) coastline. Focus is given on creating regional and global maps related to geodesy and ocean studies. The capabilities of MAP-LAB include plotting scalar fields (i.e., geoid heights, gravity anomalies), vector fields (i.e., deflections of the vertical, crustal velocities) and error ellipses (i.e., quality assessment of surveying and GNSS networks). In the case of scalar fields, the distribution of the data points can be plotted and the representation of both original scattered data and interpolated data on a rectangular grid is possible. The use of masks for covering land areas is also possible for visualizing data over the oceans. The generated maps can be exported in image files using a user-defined resolution.
Overall, the MAP-LAB software presented here provides a user-friendly environment, and is a fast and efficient tool for visualizing numerous types of data on the Earth’s surface. Examples provided include maps of geoid undulations and deflection of the vertical using the geopotential model EGM2008, error ellipses of a local GNSS network, and ocean currents and surface temperature on global and regional scale.

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