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
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