sbf(SpherWave)
sbf()所属R语言包：SpherWave
Extrapolation with Multi-sale SBF's
外推多出售SBF
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function performs extrapolation with multi-sale SBF's.
这个函数执行多出售SBF的外推。
用法----------Usage----------
sbf(obs, latlon, netlab, eta, method, approx=FALSE,
grid.size=c(50, 100), lambda=NULL, p0=0, latlim=NULL,
lonlim=NULL)
参数----------Arguments----------
参数：obs
observations
观察
参数：latlon
grid points of observation sites in degree. Latitude is the angular distance in degrees of a point north or south of the Equator. North/South are represented by +/- sign. Longitude is the angular distance in degrees of a point east or west of the Prime (Greenwich) Meridian. East/West are represented by +/- sign.
度观测点的网格点。程度的一个点北赤道以南的纬度的角距离。北/南为代表的+ / - 符号。经度点向东或向西首要（格林尼治）子午线度的角距离。东/西为代表的+ / - 符号。
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：method
extrapolation methods, ""ls"" or ""pls""
外推法“，”LS“”或“”PLS“
参数：approx
if TRUE, approximation is used.
如果为TRUE，使用近似。
参数：grid.size
grid size (latitude, longitude) of extrapolation site
外推网站的网格尺寸（经度，纬度）
参数：lambda
smoothing parameter for penalized least squares method
平滑参数补偿最小二乘法
参数：p0
specifies starting level for extrapolation. Among resolution levels 1, \ldots, L, resolution levels p0+1, \ldots, L will be included for extrapolation.
指定的外推起始水平。在分辨率级别1, \ldots, L，分辨率级别p0+1, \ldots, L将被纳入外推。
参数：latlim
range of latitudes in degree
度的纬度范围
参数：lonlim
range of longitudes in degree
度的经度范围
Details
详细信息----------Details----------
This function performs extrapolation with multi-sale SBF's.
这个函数执行多出售SBF的外推。
值----------Value----------
An object of class "sbf". This object is a list with the following components. <table summary="R valueblock"> <tr valign="top"><td>obs</td> <td> observations</td></tr> <tr valign="top"><td>latlon</td> <td> grid points of observation sites in degree</td></tr> <tr valign="top"><td>netlab</td> <td> vector of labels representing sub-networks</td></tr> <tr valign="top"><td>eta</td> <td> bandwidth parameters for Poisson kernel</td></tr> <tr valign="top"><td>method</td> <td> extrapolation methods, ""ls"" or ""pls""</td></tr> <tr valign="top"><td>approx</td> <td> if TRUE, approximation is used.</td></tr> <tr valign="top"><td>grid.size</td> <td> grid size (latitude, longitude) of extrapolation site</td></tr> <tr valign="top"><td>lambda</td> <td> smoothing parameter for penalized least squares method</td></tr> <tr valign="top"><td>p0</td> <td> starting level for extrapolation. Resolution levels p0+1, \ldots, L is used for extrapolation.</td></tr> <tr valign="top"><td>gridlon</td> <td> longitudes of extrapolation sites in degree</td></tr> <tr valign="top"><td>gridlat</td> <td> latitudes of extrapolation sites in degree</td></tr> <tr valign="top"><td>nlevels</td> <td> the number of multi-resolution levels</td></tr> <tr valign="top"><td>coeff</td> <td> interpolation coefficients</td></tr> <tr valign="top"><td>field</td> <td> extrapolation on grid.size</td></tr> <tr valign="top"><td>density</td> <td> density on observation's locations</td></tr> <tr valign="top"><td>latlim</td> <td> range of latitudes in degree</td></tr> <tr valign="top"><td>lonlim</td> <td> range of longitudes in degree</td></tr> </table>
对象类的SBF。此对象是一个具有下列组件列表。 <table summary="R valueblock"> <tr valign="top"> <TD> obs</ TD> <TD>的意见</ TD> </ TR> <tr valign="top"> < latlon TD> </ TD> <TD>网格点的观测点度</ TD> </ TR> <tr valign="top"> <TD> netlab</ TD> < TD>矢量表示子网络的标签</ TD> </ TR> <tr valign="top"> <TD>eta </ TD> <TD>带宽参数Poisson核</ TD> < / TR> <tr valign="top"> <TD> method</ TD> <TD>外推法“，”LS“或”PLS“</ TD> </ TR> <tr valign="top"> <TD> approx </ TD> <TD>如果为TRUE，使用近似。</ TD> </ TR> <tr valign="top"> <TD >grid.size</ TD> <TD>网格尺寸（纬度，经度）外推网站</ TD> </ TR> <tr valign="top"> <TD>lambda</ TD > <TD>平滑参数补偿最小二乘法</ TD> </ TR> <tr valign="top"> <TD> p0 </ TD> <TD>开始外推。分辨率级别p0+1, \ldots, L使用外推。</ TD> </ TR> <tr valign="top"> <TD>gridlon </ TD> <TD>东经度的外推网站< / TD> </ TR> <tr valign="top"> <TD> gridlat </ TD> <TD>纬度程度的外推网站</ TD> </ TR> <TR VALIGN =“顶部“> <TD> nlevels </ TD> <TD>数多分辨率水平</ TD> </ TR> <tr valign="top"> <TD>coeff</ TD> <TD>插值系数</ TD> </ TR> <tr valign="top"> <TD> field </ TD> <TD>外推法grid.size </ TD> </ TR > <tr valign="top"> <TD> density </ TD> <TD>密度观察的位置</ TD> </ TR> <tr valign="top"> <TD><X > </ TD> <TD>范围内的纬度度</ TD> </ TR> <tr valign="top"> <TD> latlim </ TD> <TD>范围的经度度</ 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----------
swd, swthresh, swr.
swd，swthresh，swr。
实例----------Examples----------
### Observations of year 1967[＃＃1967年的观察]
#data(temperature)[数据（温度）]
#names(temperature)[名称（温度）]
# Temperatures on 939 weather stations of year 1967 [1967年的939个气象站的温度对]
#temp67 <- temperature$obs[temperature$year == 1967] [temp67 < - 温度美元OBS [温度年== 1967]]
# Locations of 939 weather stations [939个气象站的位置]
#latlon <- temperature$latlon[temperature$year == 1967, ][温度latlon < - $ latlon [温度年= 1967年]]
### Network design by BUD[＃＃网络设计BUD]
#data(netlab)[数据（NETLAB）]
### Bandwidth for Poisson kernel[＃＃泊松核的带宽]
#eta <- c(0.961, 0.923, 0.852, 0.723, 0.506)[ETA - C（0.961，0.923，0.852，0.723，0.506）]
### SBF representation of the observations by pls[＃＃的SBF表示，观察PLS]
#out.pls <- sbf(obs=temp67, latlon=latlon, netlab=netlab, eta=eta, [SBF（OBS = temp67，latlon latlon，NETLAB = NETLAB，η= ETA，out.pls < - ]
# method="pls", grid.size=c(50, 100), lambda=0.89)[方法=“PLS”，grid.size = C（50，100），λ= 0.89）]
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注：
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发表于 2012-9-30 15:13:19
