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[104]9    <title>Interpolation/ (SAXO Documentation)</title>
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[104]27  <h1>SAXO Documentation</h1>
[89]28</div>
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33  <table cellspacing="0">
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35     
[189]36      <td><a href="../overview.html" title="Overview of library">Overview</a></td>
[89]37     
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39     
40      <td id="selected">Directory</td>
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[189]44      <td><a href="../idldoc-categories.html" title="Browse library by category">Categories</a></td>
[89]45     
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47     
[189]48      <td><a href="../idldoc-index.html" title="Index of files, routines, and parameters">Index</a></td>
[89]49     
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[189]75&lt;&lt; prev file | next file &gt;&gt;&nbsp;&nbsp;&nbsp;&nbsp;<a href="./directory-overview.html" target="_TOP">view single page</a> | <a href="../index.html" target="_TOP">view frames</a>&nbsp;&nbsp;&nbsp;&nbsp;summary: fields | routine&nbsp;&nbsp;&nbsp;&nbsp;details: routine
[89]76
77</div>
78
79
80    <div id="container">
81
82      <h1>Directory overview for Interpolation/</h1>
83
84     
85
86     
87      <h2>File summary</h2>
88
89      <dl>
90     
[189]91        <dt><a href="angle.html">angle.pro</a></dt>
[203]92        <dd>  north stereographic polar projection   Compute angles between grid lines and direction of the North pole (fom angle.</dd>
[89]93     
[189]94        <dt><a href="clickincell.html">clickincell.pro</a></dt>
[138]95        <dd>  click on a map and find in which cell the click was </dd>
[89]96     
[189]97        <dt><a href="compute_fromirr_bilinear_weigaddr.html">compute_fromirr_bilinear_weigaddr.pro</a></dt>
[138]98        <dd>  compute the weight and address needed to interpolate data from  an "irregular 2D grid" (defined as a grid made of quadrilateral cells)  to any grid using the bilinear method </dd>
[111]99     
[189]100        <dt><a href="compute_fromreg_bilinear_weigaddr.html">compute_fromreg_bilinear_weigaddr.pro</a></dt>
[138]101        <dd>  compute the weight and address needed to interpolate data from a  "regular grid" to any grid using the bilinear method </dd>
[89]102     
[189]103        <dt><a href="compute_fromreg_imoms3_weigaddr.html">compute_fromreg_imoms3_weigaddr.pro</a></dt>
[163]104        <dd>  compute the weight and address need to interpolate data from a  "regular grid" to any grid using the imoms3 method </dd>
[89]105     
[189]106        <dt><a href="cutpar.html">cutpar.pro</a></dt>
[138]107        <dd>  cut p parallelogram(s) into p*n^2 parallelograms </dd>
[89]108     
[189]109        <dt><a href="cutsegment.html">cutsegment.pro</a></dt>
[138]110        <dd>  cut p segments into p*n equal parts </dd>
[89]111     
[189]112        <dt><a href="extrapolate.html">extrapolate.pro</a></dt>
[203]113        <dd>  extrapolate data (zinput) where maskinput eq 0 by filling step by   step the coastline points with the mean value of the 8 neighbourgs  (weighted by their mask value).</dd>
[89]114     
[203]115        <dt><a href="extrapsmooth.html">extrapsmooth.pro</a></dt>
116        <dd>  similar to extrapolate but could to the job in a better way because the  extrapolated values are smoothed.</dd>
117     
[189]118        <dt><a href="fromirr.html">fromirr.pro</a></dt>
[138]119        <dd>  interpolate data from an irregular 2D grid to any 2D grid.</dd>
[111]120     
[189]121        <dt><a href="fromreg.html">fromreg.pro</a></dt>
[138]122        <dd>  interpolate data from a "regular/rectangular grid" to any grid.</dd>
[89]123     
[189]124        <dt><a href="get_gridparams.html">get_gridparams.pro</a></dt>
[163]125        <dd>  1) extract from a NetCDF file the longitude, latitude, and their dimensions  and make sure it is 1D or 2D arrays   or  2) given longitude and latitude arrays get their dimensions and make  sure they are 1D or 2D arrays </dd>
[89]126     
[189]127        <dt><a href="imoms3.html">imoms3.pro</a></dt>
[89]128        <dd></dd>
129     
[189]130        <dt><a href="inquad.html">inquad.pro</a></dt>
[138]131        <dd>  to find if an (x,y) point is in a quadrilateral (x1,x2,x3,x4) </dd>
[89]132     
[189]133        <dt><a href="inrecgrid.html">inrecgrid.pro</a></dt>
[138]134        <dd>  given - a list of points, (x,y) position        - the x and y limits of a rectangular grid  find in which cell is located each given point.</dd>
[89]135     
[189]136        <dt><a href="ll_narcs_distances.html">ll_narcs_distances.pro</a></dt>
[138]137        <dd>  This function returns the longitude and latitude [lon, lat] of  a point a given arc distance (-pi <= Arc_Dist <= pi), and azimuth (Az),  from a specified location Lon0, lat0.</dd>
[89]138     
[189]139        <dt><a href="map_npoints.html">map_npoints.pro</a></dt>
[138]140        <dd>  Return the distance in meter between all np0 points P0 and all  np1 points P1 on a sphere.</dd>
[89]141     
[189]142        <dt><a href="neighbor.html">neighbor.pro</a></dt>
[138]143        <dd>  find the closetest point of (P0) within a list of np1 points  P1 Which can be on a sphere </dd>
[89]144     
[189]145        <dt><a href="quadrilateral2square.html">quadrilateral2square.pro</a></dt>
[138]146        <dd>  warm (or map) an arbitrary quadrilateral onto a unit square  according to the 4-point correspondences:        (x0,y0) -> (0,0)        (x1,y1) -> (1,0)        (x2,y2) -> (1,1)        (x3,y3) -> (0,1)  This is the inverse function of square2quadrilateral.</dd>
[89]147     
[189]148        <dt><a href="spl_fstdrv.html">spl_fstdrv.pro</a></dt>
[138]149        <dd>  SPL_FSTDRV returns the values of the first derivative of  the interpolating function at the points X2i.</dd>
[89]150     
[189]151        <dt><a href="spl_incr.html">spl_incr.pro</a></dt>
[101]152        <dd>   Given the arrays X and Y, which tabulate a function (with the X[i]  AND Y[i] in ascending order), and given an input value X2, the  SPL_INCR function returns an interpolated value for the given values  of X2.</dd>
[89]153     
[189]154        <dt><a href="spl_keep_mean.html">spl_keep_mean.pro</a></dt>
[101]155        <dd>   Given the arrays X and Y, which tabulate a function (with the X[i]  AND Y[i] in ascending order), and given an input value X2, the  SPL_INCR function returns an interpolated value for the given values  of X2.</dd>
[89]156     
[189]157        <dt><a href="square2quadrilateral.html">square2quadrilateral.pro</a></dt>
[138]158        <dd>  warm (or map) a unit square onto an arbitrary quadrilateral  according to the 4-point correspondences:        (0,0) -> (x0,y0)        (1,0) -> (x1,y1)        (1,1) -> (x2,y2)        (0,1) -> (x3,y3)  The mapping is done using perspective transformation which preserve  lines in all orientations and permit quadrilateral to quadrilateral  mappings.</dd>
[89]159     
160      </dl>
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