mask(secr)
mask()所属R语言包：secr
Mask Object
遮罩对象
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Encapsulate a habitat mask for spatially explicit capture–recapture.
封装的栖息地屏蔽空间明确的捕获 - 再捕获。
Details
详细信息----------Details----------
A habitat mask serves four main purposes in spatially explicit capture–recapture. Firstly, it defines an outer limit to the area of integration; habitat beyond the mask may be occupied, but animals there should have negligible chance of being detected (see pdot and below). Secondly, it distinguishes sites in the vicinity of the detector array that are "habitat" (i.e. have the potential to be occupied) from "non-habitat". Thirdly, it discretizes continuous habitat as a list of points. Each point is notionally associated with a cell (pixel) of uniform density. Discretization allows the SECR likelihood to be evaluated by summing over grid cells. Fourthly, the x-y coordinates of the mask and any habitat covariates may be used to build spatial models of density. For example, a continuous or categorical habitat covariate "cover" measured at each point on the mask might be used in a formula for density such as D ~cover.
在空间上明确捕获 - 再捕获的栖息地屏蔽提供四个主要目的。首先，它定义了一个外的限制区域的整合;超出了掩模的栖息地可能被占用，但动物应该有机会被检测到可以忽略不计（见pdot和下文）。其次，它区别于附近的探测器阵列，是从“非栖息地”栖息地“（即有可能被占用）的网站。第三，离散，连续的栖息地，一个点列表。名义上与每个点（像素）的密度均匀的单元。离散允许的SECR的可能性进行评估，总结的网格单元。第四，在xy坐标的掩模和任何栖息地协变量可以被用来建立空间模型的密度。例如，一个连续的或绝对的栖息地协变量盖可能被用来测量在每个点上的掩模，在公式中的密度，如D~盖。
In relation to the first purpose, the definition of "negligible" is fluid. Any probability less than 0.001 seems OK in the sense of not causing noticeable bias in density estimates, but this depends on the shape of the detection function (fat-tailed functions such as 'hazard rate' are problematic). New tools for evaluating masks appeared in secr 1.5 (mask.check, esa.plot), and suggest.buffer automates selection of a buffer width.
有关第一的宗旨，“忽略不计”的定义是流动的。任何概率小于0.001似乎在不造成明显的偏压的密度估计感行，但是这取决于检测功能（肥尾的功能，如“危险率”是有问题的）的形状。新的工具，以评估口罩出现在secr1.5（mask.check，esa.plot），和suggest.buffer自动化的缓冲区宽度的选择。
Mask points are stored in a data frame with columns "x" and "y". The number of rows equals the number of points.
掩模点被存储在一个数据框中的列的“x”和“y”。的行数相等的点的数量。
Possible mask attributes
可能的面具属性
Attributes other than covariates are generated automatically by make.mask. Type "user" refers to masks input from a text file with read.mask.
以外covariates的属性自动生成make.mask。类型“用户”指的是从一个文本文件，read.mask口罩输入。
注意----------Note----------
A habitat mask is needed by secr.fit, but one will be generated automatically if none is provided. You should be aware of this and check that the default settings (e.g. buffer) are
的栖息地的面具所需要的secr.fit，但如果没有提供，将自动生成。你应该意识到这一点，检查的默认设置（例如buffer）
参见----------See Also----------
make.mask, read.mask, mask.check, esa.plot, suggest.buffer, secr.fit,
make.mask，read.mask，mask.check，esa.plot，suggest.buffer，secr.fit，
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。
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发表于 2012-9-29 23:59:59
