heather(spatstat)
heather()所属R语言包：spatstat
Diggle's Heather Data
Diggle的希瑟数据
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The spatial mosaic of vegetation of the heather plant (Calluna vulgaris) recorded in a 10 by 20 metre sampling plot in Sweden.
记录在10 20米的样地在瑞典的空间镶嵌的石楠植物的植被（Calluna寻常）。
用法----------Usage----------
data(heather)
格式----------Format----------
A list with three entries, representing the same data at different spatial resolutions:
三个项目，代表相同的数据在不同的空间分辨率的列表：
original heather data, 100 by 200 pixels
原石楠数据，100 x 200像素
current heather data, 256 by 512 pixels
石楠数据，256 x 512像素
Each of these entries is an object of class "owin" containing a binary pixel mask.
这些项中的每一个是一个对象类"owin"含有二进制象素掩模。
对数据的注意事项----------Notes on data----------
These data record the spatial mosaic of vegetation of the heather plant (Calluna vulgaris) in a 10 by 20 metre sampling plot near Jadraas, Sweden. They were recorded and first analysed by Diggle(1981).
这些数据记录空间的植被镶嵌的石南花植物（Calluna寻常），在10个样地，瑞典Jadraas附近20米。他们被记录和第一者Diggle（1981）进行分析。
The dataset heather contains three different versions of the data that have been analysed by different writers over the decades.
的数据集heather包含了三个不同的版本，不同的作家在过去几十年的数据进行了分析。
Data as originally digitised by Diggle in 1983 at 100 by 200 pixels resolution (i.e. 10 pixels = 1 metre).
原本数字化Diggle在1983年为100 200像素的分辨率（即10个像素= 1米）的数据。
These data were entered by hand in the form of a run-length encoding (original file no longer available) and translated by a program into a 100 by 200 pixel binary image.
这些数据被输入的手在游程长度编码（原始文件不再可用）的形式，并通过程序翻译成100由200像素的二进制图象。
There are known to be some errors in the image which arise from errors in counting the run-length so that occasionally there will be an unexpected 'spike' on one single column.
有被称为是在计数的游程长度而产生的错误的图像中的一些错误，使偶尔会有意想不到的一个单一的列上的秒杀。
A fine scale digitisation of the original map, prepared by CWI (Centre for Computer Science, Amsterdam, Netherlands) in 1994.
罚款规模的原始图的数字化，工人国际委员会（CWI）（计算机科学中心，阿姆斯特丹，荷兰）于1994年编制的。
The original hand-drawn map was scanned by Adrian Baddeley, and processed by Chris Jonker, Henk Heijmans and Adrian Baddeley to yield a clean binary image of 778 by 1570 pixels resolution.
原来的手工绘制的图是由阿德里安·巴德利扫描和处理由克里斯·琼克，亨克Heijmans和阿德里安·巴德利778 1570像素的分辨率，以产生一个清晰的二进制图像。
The version of the heather data currently supplied on Professor Diggle's website. This is a 256 by 512 pixel image. The method used to create this image is not stated.
目前的石楠数据的版本附带在教授Diggle的网站上。这是一个256×512像素的图像。用于创建此图像的方法未作说明。
分析数据的历史----------History of analysis of data----------
The data were recorded, presented and analysed by Diggle (1983). He proposed a Boolean model consisting of discs of random size with centres generated by of a Poisson point process.
者Diggle（1983），在数据被记录，提出和分析。他提出了一个布尔模型中心的泊松点过程中所产生的随机大小的光盘组成。
Renshaw and Ford (1983) reported that spectral analysis of the data suggested the presence of strong row and column effects. However, this may have been attributable to errors in the run-length encoding of the original data.
罗德曼和福特（1983）报道，频谱分析的数据表明存在强大的行和列的影响。然而，这可能是归属于中的游程长度编码的原始数据的错误。
Hall (1985) and Hall (1988, pp 301-318) took a bootstrap approach.
厅（1985）和Hall（1988，页301-318）自举的方法。
Ripley (1988, pp. 121-122, 131-135] used opening and closing functions to argue that a Boolean model of discs is inappropriate.
里普利（1988年，第121-122，131-135]认为，一个布尔模型的光盘是不合适的开启和关闭功能。
Cressie (1991, pp. 763-770) tried a more general Boolean model.
经验Cressie（1991年，第763-770）尝试了更一般的布尔模型。
源----------Source----------
Peter Diggle
彼得Diggle
参考文献----------References----------
Statistics for Spatial Data. John Wiley and Sons, New York.
Binary mosaics and the spatial pattern of heather. Biometrics 37, 531-539.
Resampling a coverage pattern. Stochastic Processes and their Applications 20 231-246.
An introduction to the theory of coverage processes. John Wiley and Sons, New York.
The interpretation of process from pattern using two-dimensional spectral analysis: Methods and problems of interpretation. Applied Statistics 32 51-63.
Statistical Inference for Spatial Processes. Cambridge University Press.
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 13:32:52
