FeatureMatchAnalyzer(SpatialVx)
FeatureMatchAnalyzer()所属R语言包：SpatialVx
Analyze Features of a Verification Set
分析检定装置的特点
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Analyze matched features of a verification set.
分析匹配的验证集的功能。
用法----------Usage----------
FeatureMatchAnalyzer(x, y = NULL, matches = NULL, object = NULL, which.comps = c("cent.dist", "angle.diff", "area.ratio", "int.area", "bdelta", "haus", "ph", "mhd", "med", "msd", "fom", "minsep"), sizefac = 1, alpha = 0.1, k = 4, p = 2, c = Inf, distfun = "distmapfun", ...)
FeatureComps(Y, X, which.comps=c("cent.dist", "angle.diff", "area.ratio", "int.area", "bdelta", "haus", "ph", "mhd", "med", "msd", "fom", "minsep"), sizefac=1, alpha=0.1, k=4, p=2, c=Inf, distfun="distmapfun", ...)
参数----------Arguments----------
参数：x,y,matches
x, y and matches are list objects with components as output by deltamm or similar function. Only one is used, and it first checks for matches, then y, and finally x. It expects a component names mm.new.labels that gives the number of matched objects.
x，y和matches是列表对象与组件输出的deltamm或类似的功能。只有一个被使用，它首先检查matches，然后y，最后x。它需要一个组件名称mm.new.labels给匹配的对象的数量。
参数：X,Y
list object giving a pixel image as output from solutionset from package spatstat for the verification and forecast fields, resp. These arguments are passed directly to the locperf function.
列表对象，使一个像素的图像输出solutionset从包装spatstat的验证和预报场分别。这些参数直接传递给locperf功能。
参数：object
Obligatory argument for use with FeatureSuite function. Not used by FeatureMatchAnalyzer (so far).
强制性使用FeatureSuite函数的参数。不使用FeatureMatchAnalyzer（到目前为止）。
参数：which.comps
character vector indicating which properties of the features are to be analyzed.
字符向量，它的特点是性能进行分析。
参数：sizefac
single numeric by which area calculations should be multiplied in order to get the desired units. If unity (default) results are in terms of grid squares.
单一的数字，以获得所需的单位应乘以面积计算。如果统一（默认）结果的方格。
参数：alpha
numeric value for teh FOM measure (see the help file for locperf.
德FOM措施的数值（参见帮助文件locperf。
参数：k
numeric indicating which quantile to use if the partial Hausdorff measure is to be used.
数字指示哪个位数使用如果是要使用的部分Hausdorff测度。
参数：p
numeric giving the value of the parameter p for the Baddeley metric.
数字给巴德利度量的参数p的值。
参数：c
numeric giving the cut-off value for the Baddeley metric.
数值给cut-off值巴德利度量。
参数：distfun
character naming a distance functions to use in calculating the various binary image measures. Default is Euclidean distance.
字符命名使用在计算的各种二进制图象措施的距离的功能。默认值是欧氏距离。
参数：...
Additional arguments to deltametric.
其他参数deltametric。
Details
详细信息----------Details----------
FeatureMatchAnalyzer is designed to be used with 'FeatureSuite'. It is set up to calculate the values discussed in sec. 4 of Davis et al. (2006) for a single verification set (i.e., mean and standard deviation are not computed because it is only a single case). If criteria is 1, then features separated by a distance D < the sum of the sizes of the two features (size of a feature is defined as the square root of its area) are considered a match. If criteria is 2, then a match is made if D < the average of the sizes of the two features. Finally, criteria 3 decides a match as being anything less than a pre-determined constant.
FeatureMatchAnalyzer被设计为用于与FeatureSuite。它被设置在秒讨论来计算的值。 4 Davis等人。 （2006）收汇核销单集（例如，均值和标准差的计算，因为它只有一个的情况下）。如果标准是1，那么功能分开的距离D <的两个功能（一个功能的大小被定义为它的面积的平方根）的大小的总和被认为是匹配的。如果条件是2，那么如同如果D <的两个特征的大小的平均值。最后，标准3决定匹配为任何小于预先确定的常数。
FeatureComps is the primary function called by FeatureMatchAnalyzer, and is designed as a more stand-alone type of function. Several of the measures that can be calculated are simply the binary image measures/metrics available via, e.g., locperf. It calculates comparisons between two matched features (i.e., between the verification and forecast fields).
FeatureComps是主要功能调用FeatureMatchAnalyzer，并且被设计为一个更独立的类型的函数。的措施，可以计算几个简单的二进制图像可以通过，例如，locperf的措施/指标。它可以计算出两个匹配的功能（即，在验证和预测等领域）之间的比较。
值----------Value----------
FeatureMatchAnalyzer returns a list of list objects. The specific components depend on the 'which.comps' argument, and are the same as those returned by FeatureComps. These can be any of the following.
FeatureMatchAnalyzer返回一个列表，列表对象。具体的组件依赖参数“which.comps”，和与返回FeatureComps一样。这些可以是下列任一。
参数：cent.dist
numeric giving the centroid (Euclidean) distance.
数字心（欧几里德）距离。
参数：angle.diff
numeric giving the orientation (major axis) angle difference.
数值给的方向（长轴）的角度差。
参数：area.ratio
numeric giving the area ratio, which is always between 0 and 1 because this is defined by Davis et al. (2006) to be the area of the smaller feature divided by that of the larger feature regardless of which field the feature belongs to.
数值给出的面积率，这始终是在0和1之间，因为这是由Davis等人定义。 （2006）是除以较大的功能，无论该功能属于哪个字段的更小的特征的区域。
参数：int.area
numeric giving the intersection area of the features.
数值给出的交叉区域的功能。
参数：bdelta
numeric giving Baddeley's delta metric between the two features.
数字灸手可热的增量公制这两种功能之间。
参数：haus, ph, mhd, med, msd, fom, minsep
numeric, see locperf for specific information.
数字的具体信息，请参阅locperf。
（作者）----------Author(s)----------
Eric Gilleland
参考文献----------References----------
参见----------See Also----------
locperf, FeatureSuite, convthresh, deltamm, deltametric
locperf，FeatureSuite，convthresh，deltamm，deltametric
实例----------Examples----------
x <- y <- matrix(0, 10, 12)
x[2:3,c(3:6, 8:10)] <- 1
y[c(1:2, 9:10),c(3:6)] <- 1
hold <- FeatureSuitePrep("y", "x")
look <- convthresh( hold, smoothpar=1.5)
look2 <- centmatch(look, object=hold)
FeatureMatchAnalyzer(matches=look2)
## Not run: [＃不运行：]
data(pert000)
data(pert004)
hold <- FeatureSuitePrep("pert004", "pert000")
look <- convthresh( hold, smoothpar=10.5)
look2 <- centmatch(look, object=hold)
FeatureMatchAnalyzer(matches=look2)
## 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。
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发表于 2012-9-30 12:55:08
