Source:
EWEC 2009 (2009)
URL:
http://www.ewec2009.info/index.php?id=74
Keywords:
SANY; Sensors Anywhere; Spatial Interpolation; Ordinary Kriging
Abstract:
We examine the issues presented by wind direction in spatial interpolation using an ordinary kriging algorithm applied to in-situ sensor data. We propose a simple but effective solution, based on vector rotation and stochastic simulation, to the problem of estimating periodic variables. In cases where for the region of interest all wind direction vectors span 180 degrees, we rotate them so they lie between 90 and 270 degrees and apply kriging directly to the geodesic angle. Else, we transform the geodesic angle to Cartesian coordinates, apply kriging and use simulation to transform the kriging estimates back to geodesic angle.
Notes:
Presenation & short paper
