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| 9 | <title>Interpolation/ (SAXO Documentation)</title> |
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| 27 | <h1>SAXO Documentation</h1> |
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| 36 | <td><a href="../overview.html" title="Overview of library">Overview</a></td> |
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| 48 | <td><a href="../idldoc-index.html" title="Index of files, routines, and parameters">Index</a></td> |
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| 75 | << prev file | next file >> <a href="./directory-overview.html" target="_TOP">view single page</a> | <a href="../index.html" target="_TOP">view frames</a> summary: fields | routine details: routine |
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| 77 | </div> |
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| 79 | |
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| 80 | <div id="container"> |
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| 81 | |
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| 82 | <h1>Directory overview for Interpolation/</h1> |
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| 83 | |
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| 84 | |
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| 85 | |
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| 86 | |
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| 87 | <h2>File summary</h2> |
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| 88 | |
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| 89 | <dl> |
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| 90 | |
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| 91 | <dt><a href="angle.html">angle.pro</a></dt> |
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| 92 | <dd> north stereographic polar projection Compute angles between grid lines and direction of the North pole (fom angle.</dd> |
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| 93 | |
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| 94 | <dt><a href="clickincell.html">clickincell.pro</a></dt> |
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| 95 | <dd> click on a map and find in which cell the click was </dd> |
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| 96 | |
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| 97 | <dt><a href="compute_fromirr_bilinear_weigaddr.html">compute_fromirr_bilinear_weigaddr.pro</a></dt> |
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| 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> |
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| 99 | |
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| 100 | <dt><a href="compute_fromreg_bilinear_weigaddr.html">compute_fromreg_bilinear_weigaddr.pro</a></dt> |
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| 101 | <dd> compute the weight and address needed to interpolate data from a "regular grid" to any grid using the bilinear method </dd> |
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| 102 | |
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| 103 | <dt><a href="compute_fromreg_imoms3_weigaddr.html">compute_fromreg_imoms3_weigaddr.pro</a></dt> |
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| 104 | <dd> compute the weight and address need to interpolate data from a "regular grid" to any grid using the imoms3 method </dd> |
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| 105 | |
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| 106 | <dt><a href="cutpar.html">cutpar.pro</a></dt> |
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| 107 | <dd> cut p parallelogram(s) into p*n^2 parallelograms </dd> |
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| 108 | |
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| 109 | <dt><a href="cutsegment.html">cutsegment.pro</a></dt> |
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| 110 | <dd> cut p segments into p*n equal parts </dd> |
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| 111 | |
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| 112 | <dt><a href="extrapolate.html">extrapolate.pro</a></dt> |
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| 113 | <dd> extrapolate data (zinput) where maskinput equal 0 by filling step by step the coastline points with the mean value of the 8 neighbors (weighted by their mask values).</dd> |
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| 114 | |
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| 115 | <dt><a href="extrapsmooth.html">extrapsmooth.pro</a></dt> |
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| 116 | <dd> similar to <a href="..//Interpolation/extrapolate.html">extrapolate</a> but could to the job in a better way because the extrapolated values are smoothed.</dd> |
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| 117 | |
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| 118 | <dt><a href="file_interp.html">file_interp.pro</a></dt> |
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| 119 | <dd> interpolate a NetCDF file from a grid to another (both regular or not) </dd> |
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| 120 | |
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| 121 | <dt><a href="fromirr.html">fromirr.pro</a></dt> |
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| 122 | <dd> interpolate data from an irregular 2D grid to any 2D grid.</dd> |
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| 123 | |
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| 124 | <dt><a href="fromreg.html">fromreg.pro</a></dt> |
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| 125 | <dd> interpolate data from a "regular/rectangular grid" to any grid.</dd> |
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| 126 | |
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| 127 | <dt><a href="get_gridparams.html">get_gridparams.pro</a></dt> |
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| 128 | <dd> Case 1: extract from a NetCDF file longitude and latitude arrays, their dimensions and make sure it is 1D or 2D arrays Case 2: given longitude and latitude arrays, get their dimensions and make sure they are 1D or 2D arrays </dd> |
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| 129 | |
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| 130 | <dt><a href="imoms3.html">imoms3.pro</a></dt> |
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| 131 | <dd></dd> |
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| 132 | |
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| 133 | <dt><a href="inquad.html">inquad.pro</a></dt> |
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| 134 | <dd> to find if an (x,y) point is in a quadrilateral (x1,x2,x3,x4) </dd> |
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| 135 | |
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| 136 | <dt><a href="inrecgrid.html">inrecgrid.pro</a></dt> |
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| 137 | <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> |
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| 138 | |
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| 139 | <dt><a href="lbcorca.html">lbcorca.pro</a></dt> |
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| 140 | <dd> check the lateral boundaries condition (east-west and north) of a 2D/3D/4D array located on a grif of the orca grid familly.</dd> |
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| 141 | |
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| 142 | <dt><a href="ll_narcs_distances.html">ll_narcs_distances.pro</a></dt> |
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| 143 | <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> |
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| 144 | |
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| 145 | <dt><a href="map_npoints.html">map_npoints.pro</a></dt> |
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| 146 | <dd> Return the distance in meter between all np0 points P0 and all np1 points P1 on a sphere.</dd> |
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| 147 | |
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| 148 | <dt><a href="neighbor.html">neighbor.pro</a></dt> |
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| 149 | <dd> find the closest point of (P0) within a list of np1 points P1 which can be on a sphere </dd> |
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| 150 | |
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| 151 | <dt><a href="quadrilateral2square.html">quadrilateral2square.pro</a></dt> |
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| 152 | <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 <a href="..//Interpolation/square2quadrilateral.html">square2quadrilateral</a>.</dd> |
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| 153 | |
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| 154 | <dt><a href="spl_fstdrv.html">spl_fstdrv.pro</a></dt> |
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| 155 | <dd> returns the values of the first derivative of the interpolating function at the points X2i.</dd> |
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| 156 | |
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| 157 | <dt><a href="spl_incr.html">spl_incr.pro</a></dt> |
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| 158 | <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> |
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| 159 | |
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| 160 | <dt><a href="spl_keep_mean.html">spl_keep_mean.pro</a></dt> |
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| 161 | <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 <a href="..//Interpolation/spl_incr.html">spl_incr</a> function returns an interpolated value for the given values of X2.</dd> |
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| 162 | |
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| 163 | <dt><a href="square2quadrilateral.html">square2quadrilateral.pro</a></dt> |
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| 164 | <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> |
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| 165 | |
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| 166 | </dl> |
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| 167 | |
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