mrafield.comp(SpherWave)
mrafield.comp()所属R语言包:SpherWave
Decomposition of a Field
分解一个字段
译者:生物统计家园网 机器人LoveR
描述----------Description----------
This function computes global and local components (fields) on grid from an initial field.
此函数计算的初始场对电网的全局和局部组件(场)。
用法----------Usage----------
mrafield.comp(grid, coeff, site, netlab, eta, field, density)
参数----------Arguments----------
参数:grid
grid points of extrapolation sites in radian
网格点外推网站弧度
参数:coeff
coefficients of multi-scale SBF's
多尺度SBF的系数
参数:site
grid points of observation sites in radian
弧度观测点在网格点
参数:netlab
vector of labels representing sub-networks
向量的代表子网络的标签
参数:eta
bandwidth parameters for Poisson kernel
泊松核的带宽参数
参数:field
extrapolation on grid
网格外推法
参数:density
density of locations induced from an initial field
从最初的场致密度的位置
Details
详细信息----------Details----------
This function generates decomposition of a field,
这个函数生成的字段的分解,
</i>
</ P>
值----------Value----------
<table summary="R valueblock"> <tr valign="top"><td>global</td> <td> matrix of successively smoothed data</td></tr> <tr valign="top"><td>local</td> <td> matrix of difference of successively smoothed data</td></tr> <tr valign="top"><td>density</td> <td> density of locations in global and local fields</td></tr> <tr valign="top"><td>swcoeff</td> <td> spherical wavelet coefficients</td></tr> </table>
<table summary="R valueblock"> <tr valign="top"> <TD> global</ TD> <TD>矩阵的连续平滑的数据</ TD> </ TR> <TR VALIGN =“顶“> <TD> local </ TD> <TD>矩阵的连续平滑的数据差异</ TD> </ TR> <tr valign="top"> <TD>density <TD>密度的位置在全局和局部领域的/ TD> </ TD> </ TR> <tr valign="top"> <TD>swcoeff </ TD> <TD>球面小波系数</ TD> </ TR> </ TABLE>
参考文献----------References----------
Oh, H-S. (1999) Spherical wavelets and their statistical analysis with applications to meteorological data. Ph.D. Thesis, Department of Statistics, Texas A\&M University, College Station.
Li, T-H. (1999) Multiscale representation and analysis of spherical data by spherical wavelets. SIAM Journal on Scientific Computing, 21, 924–953.
Oh, H-S. and Li, T-H. (2004) Estimation of global temperature fields from scattered observations by a spherical-wavelet-based spatially adaptive method. Journal of the Royal Statistical Society Ser. B, 66, 221–238.
参见----------See Also----------
sbf, swd, swthresh, swr
sbf,swd,swthresh,swr
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
注1:为了方便大家学习,本文档为生物统计家园网机器人LoveR翻译而成,仅供个人R语言学习参考使用,生物统计家园保留版权。
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