/**
* Construct a contour plotting algorithm. The end result of the algorithm is a sequence of
* line segments for each isobar given as two vertices.
*
* @param $aDataMatrix The Z-data to be used
* @param $aIsobar A mixed variable, if it is an integer then this specified the number of isobars to use.
* The values of the isobars are automatically detrmined to be equ-spaced between the min/max value of the
* data. If it is an array then it explicetely gives the isobar values
* @param $aInvert By default the matrice with row index 0 corresponds to Y-value 0, i.e. in the bottom of
* the plot. If this argument is true then the row with the highest index in the matrice corresponds to
* Y-value 0. In affect flipping the matrice around an imaginary horizontal axis.
* @param $aHighContrast Use high contrast colors (blue/red:ish)
* @param $aHighContrastBW Use only black colors for contours
* @return an instance of the contour plot algorithm
*/
public function __construct($aDataMatrix, $aIsobar = 10, $aFactor = 1, $aInvert = false, $aIsobarColors = array())
{
$this->dataMatrix = $aDataMatrix;
$this->flipData = $aInvert;
$this->isobar = $aIsobar;
$this->interpFactor = $aFactor;
if ($this->interpFactor > 1) {
if ($this->interpFactor > 5) {
Util\JpGraphError::RaiseL(28007);
// ContourPlot interpolation factor is too large (>5)
}
$ip = new MeshInterpolate();
$this->dataMatrix = $ip->Linear($this->dataMatrix, $this->interpFactor);
}
$this->contour = new Contour($this->dataMatrix, $this->isobar, $aIsobarColors);
if (is_array($aIsobar)) {
$this->nbrContours = count($aIsobar);
} else {
$this->nbrContours = $aIsobar;
}
}
/**
* Utility function to do linear mesh interpolation
* @param $aDat Matrix to interpolate
* @param $aFactor Interpolation factor
*/
function doMeshInterpolate(&$aData, $aFactor)
{
$m = new MeshInterpolate();
$aData = $m->Linear($aData, $aFactor);
}
