• DocumentCode
    39274
  • Title

    VecStatGraphs2D, A Tool for the Analysis of Two-Dimensional Vector Data: An Example Using QuikSCAT Ocean Winds

  • Author

    Rodriguez, P.G. ; Polo, M.E. ; Cuartero, Aurora ; Felicisimo, A.M. ; Ruiz-Cuetos, J.C.

  • Author_Institution
    Politechnic Sch., Univ. of Extremadura, Caceres, Spain
  • Volume
    11
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    921
  • Lastpage
    925
  • Abstract
    Circular or directional data are used in disciplines such as meteorology, geomatics, biology, and geology. The analysis of angular data requires special methods that are available in some statistical packages. However, these tools analyze only the angular values and do not include the vector modules, assuming unit vectors in all cases. In this letter, an open-source graphic and statistical package, i.e., VecStatGraphs2D, is described. It works in the R environment and provides statistics and graphics for modules (linear) and azimuths (circular), as well as graphics for the joint analysis of modules and azimuths. QuikSCAT satellite wind data are used to demonstrate some features of the package. QuikSCAT data are non-unit-length vectors, where both azimuth and magnitude (speed) are derived from u and v vector components (vector projections over the x- and y-axes). The example is used to show the seasonal change of winds in the Intertropical Convergence Zone, a key area in the ocean bird migration from the North to South Atlantic oceans.
  • Keywords
    atmospheric boundary layer; atmospheric techniques; oceanographic regions; wind; 2D vector data; Intertropical Convergence Zone; North Atlantic ocean; QuikSCAT ocean winds; QuikSCAT satellite wind data; South Atlantic ocean; VecStatGraphs2D; angular data; circular data; directional data; module-azimuth joint analysis; nonunit-length vectors; open-source graphic; statistical package; unit vectors; vector modules; wind seasonal change; Azimuth; Birds; Graphics; Oceans; Statistical analysis; Vectors; Wind speed; Circular statistics; QuikSCAT; R project; directional data; statistical graphics;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2281840
  • Filename
    6620973