ggwr(spgwr)
ggwr()所属R语言包：spgwr
Generalised geographically weighted regression
广义GEO加权回归
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The function implements generalised geographically weighted regression approach to exploring spatial non-stationarity for given global bandwidth and chosen weighting scheme.
该函数实现一般性的GEO加权回归的方法来探索空间非平稳性，鉴于全球带宽和选择权计划。
用法----------Usage----------
ggwr(formula, data = list(), coords, bandwidth, gweight = gwr.Gauss,
adapt = NULL, fit.points, family = gaussian, longlat = NULL, type =
c("working", "deviance", "pearson", "response"))
参数----------Arguments----------
参数：formula
regression model formula as in glm
回归模型公式glm
参数：data
model data frame as in glm, or may be a SpatialPointsDataFrame or SpatialPolygonsDataFrame object as defined in package sp
模型数据框在glm，或可能是一个SpatialPointsDataFrame或SpatialPolygonsDataFrame在套件sp中定义的对象作为
参数：coords
matrix of coordinates of points representing the spatial positions of the observations
代表的观测值的空间位置的坐标的点矩阵
参数：bandwidth
bandwidth used in the weighting function, possibly calculated by ggwr.sel
权重函数中使用的带宽，可能计算的ggwr.sel
参数：gweight
geographical weighting function, at present gwr.Gauss() default, or gwr.gauss(), the previous default or gwr.bisquare()
GEO加权函数，目前gwr.Gauss()默认情况下，或gwr.gauss()，以前的默认或gwr.bisquare()
参数：adapt
either NULL (default) or a proportion between 0 and 1 of observations to include in weighting scheme (k-nearest neighbours)
NULL（默认）或比例介于0和1之间的观测中的权重方案，包括（k-最近邻居）
参数：fit.points
an object containing the coordinates of fit points; often an object from package sp; if missing, the coordinates given through the data argument object, or the coords argument are used
一个对象，它包含拟合点的坐标;对象往往从包装sp;如果缺失，所表示的坐标，通过数据参数对象，或坐标参数使用
参数：family
a description of the error distribution and link function to be used in the model, see glm
在模型中使用的误差分布和链接功能的描述，请参阅glm
参数：longlat
TRUE if point coordinates are longitude-latitude decimal degrees, in which case distances are measured in kilometers; if x is a SpatialPoints object, the value is taken from the object itself
TRUE，如果点坐标的经纬度小数度，在这种情况下，测量距离（公里），如果x是一个SpatialPoints，对象，对象本身的价值是从
参数：type
the type of residuals which should be returned. The alternatives are: "working" (default), "pearson", "deviance" and "response"
应返回的残差的类型。的替代品是：“工作”（默认），“培”，“越轨”和“响应”
值----------Value----------
A list of class “gwr”:
类“的名单GWR”：
参数：SDF
a SpatialPointsDataFrame (may be gridded) or SpatialPolygonsDataFrame object (see package "sp") with fit.points, weights, GWR coefficient estimates, dispersion if a "quasi"-family is used, and the residuals of type "type" in its "data" slot.
一个SpatialPointsDataFrame（可能是格点）或SpatialPolygonsDataFrame对象（见包“菌”）与fit.points，重量，GWR系数估计值，分散体，如果一个“准”家庭使用，和类型“类型的残差”在“数据”插槽。
参数：lhat
Leung et al. L matrix, here set to NA
Leung等人。 L矩阵，这里设置为NA
参数：lm
GLM global regression on the same model formula. <tr valign="top"><td>bandwidth</td>
GLM全球回归模型公式相同。 <tr valign="top"> <TD> bandwidth</ TD>
the bandwidth used.
使用的带宽。
参数：this.call
the function call used.
所使用的函数调用。
注意----------Note----------
The use of GWR on GLM is only at the initial proof of concept stage, nothing should be treated as an accepted method at this stage.
使用GWR上GLM只在最初的概念证明阶段，也不应该被视为一个公认的方法，在这个阶段。
（作者）----------Author(s)----------
Roger Bivand <a href="mailto:Roger.Bivand@nhh.no">Roger.Bivand@nhh.no</a>
参考文献----------References----------
Geographically Weighted Regression, Chichester: Wiley;
参见----------See Also----------
ggwr.sel, gwr
ggwr.sel，gwr
实例----------Examples----------
library(maptools)
xx <- readShapePoly(system.file("shapes/sids.shp", package="maptools")[1],
IDvar="FIPSNO", proj4string=CRS("+proj=longlat +ellps=clrk66"))
bw <- 144.4813
## Not run: [＃不运行：]
bw <- ggwr.sel(SID74 ~ I(NWBIR74/BIR74) + offset(log(BIR74)), data=xx,
family=poisson(), longlat=TRUE)
## End(Not run)[＃（不执行）]
nc <- ggwr(SID74 ~ I(NWBIR74/BIR74) + offset(log(BIR74)), data=xx,
family=poisson(), longlat=TRUE, bandwidth=bw)
nc
## Not run: [＃不运行：]
nc <- ggwr(SID74 ~ I(NWBIR74/10000) + offset(log(BIR74)), data=xx,
family=poisson(), longlat=TRUE, bandwidth=bw)
nc
nc <- ggwr(SID74 ~ I(NWBIR74/10000) + offset(log(BIR74)), data=xx,
family=quasipoisson(), longlat=TRUE, bandwidth=bw)
nc
## End(Not run)[＃（不执行）]
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。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
|
发表于 2012-9-30 15:07:42
