copper(spatstat)
copper()所属R语言包：spatstat
Berman-Huntington points and lines data
伯曼 - 亨廷顿的点和线数据
译者：生物统计家园网 机器人LoveR
描述----------Description----------
These data come from an intensive geological survey of a 70 x 158 km region in central Queensland, Australia. They consist of 67 points representing copper ore deposits, and 146 line segments representing geological "lineaments". Lineaments are linear features, visible on a satellite image, that are believed to consist largely of geological faults (Berman, 1986, p. 55). It would be of great interest to predict the occurrence of copper deposits from the lineament pattern, since the latter can easily be observed on satellite images.
这些数据来自密集的地质调查，澳大利亚昆士兰州中部的70 X 158公里区域。他们包括67点，占铜矿，146线段地质“轮廓线”。轮廓线有线性特性，可见的卫星图像上，被认为含有大量的地质断层（伯尔曼，1986年，第55页）。这将是铜矿的成矿预测发生很大的兴趣，从面部轮廓图案，因为后者可以很容易地观察卫星图像。
These data were introduced and analysed by Berman (1986). They have also been studied by Berman and Diggle (1989), Berman and Turner (1992), Baddeley and Turner (2000, 2005), Foxall and Baddeley (2002) and Baddeley et al (2005).
者伯曼（1986）介绍了这些数据和分析。他们也进行了研究Berman和Diggle（1989年），伯曼和Turner（1992），亚伦 - 巴德利和Turner（2000年，2005年），Foxall和巴德利（2002年）和巴德利等人（2005年）。
Many analyses have been performed on the southern half of the data only. This subset is also provided.
已经进行了许多分析的数据仅在南部的一半。这个子集。
用法----------Usage----------
data(copper)
格式----------Format----------
copper is a list with the following entries:
copper是具有以下条目的列表：
Points a point pattern (object of class "ppp") representing the full point pattern of copper deposits. See ppp.object for details of the format.
点一个点模式（对象类"ppp"）点满铜矿的成矿模式。见ppp.object的格式的详细信息。
Lines a line segment pattern (object of class "psp") representing the lineaments in the full dataset. See psp.object for details of the format.
线线段模式（类的对象"psp"）中的全部数据集的脸部。见psp.object的格式的详细信息。
SouthWindow the window delineating the southern half of the study region. An object of class "owin".
SouthWindow窗口划分研究区的南半部。对象的类"owin"。
SouthPoints the point pattern of copper deposits in the southern half of the study region. An object of class "ppp".
SouthPoints点铜矿的成矿模式研究区的南半部。对象的类"ppp"。
SouthLines the line segment pattern of the lineaments in the southern half of the study region. An object of class "psp".
SouthLines研究区的南半部的轮廓线线段模式。对象的类"psp"。
源----------Source----------
Dr J. Huntington. Coordinates kindly provided by Dr. Mark Berman and Dr. A. Green, CSIRO, Sydney, Australia.
J.亨廷顿博士。坐标马克·伯曼博士和博士A.绿色，CSIRO，悉尼，澳大利亚惠赠。
参考文献----------References----------
Practical maximum pseudolikelihood for spatial point patterns. Australian and New Zealand Journal of Statistics 42, 283–322.
Residual analysis for spatial point processes. Journal of the Royal Statistical Society, Series B 67, 617–666.
Modelling spatial point patterns in R. In: A. Baddeley, P. Gregori, J. Mateu, R. Stoica, and D. Stoyan, editors, Case Studies in Spatial Point Pattern Modelling, Lecture Notes in Statistics number 185. Pages 23–74. Springer-Verlag, New York, 2006. ISBN: 0-387-28311-0.
Testing for spatial association between a point process and another stochastic process. Applied Statistics 35, 54–62.
Estimating Weighted Integrals of the Second-order Intensity of a Spatial Point Process. Journal of the Royal Statistical Society, series B 51, 81–92.
Approximating point process likelihoods with GLIM. Applied Statistics 41, 31–38.
Nonparametric measures of association between a spatial point process and a random set, with geological applications. Applied Statistics 51, 165–182.
实例----------Examples----------
data(copper)
# Plot full dataset[图完整数据集]
plot(copper$Points)
plot(copper$Lines, add=TRUE)
# Plot southern half of data[图南半部的数据]
plot(copper$SouthPoints)
plot(copper$SouthLines, add=TRUE)
## Not run: [＃不运行：]
Z <- distmap(copper$SouthLines)
plot(Z)
X <- copper$SouthPoints
ppm(X, ~D, covariates=list(D=Z))
## 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 13:19:44
