hornedlizard(secr)
hornedlizard()所属R语言包：secr
Flat-tailed Horned Lizard Dataset
平尾角蜥数据集
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Data from multiple searches for flat-tailed horned lizards (Phrynosoma mcalli) on a plot in Arizona, USA.
从多个搜索为平尾的角的的蜥蜴（Phrynosoma mcalli）在美国亚利桑那州，在一块土地上的数据。
用法----------Usage----------
data(hornedlizard)
Details
详细信息----------Details----------
The flat-tailed horned lizard (Phrynosoma mcalli) is a desert lizard found in parts of southwestern Arizona, southeastern California and northern Mexico. There is considerable concern about its conservation status. The species is cryptically coloured and has the habit of burying under the sand when approached, making it difficult or impossible to obtain a complete count (Grant and Doherty 2007).
平尾的的长角的蜥蜴（Phrynosoma mcalli）是一个沙漠蜥蜴在西南部的亚利桑那州，加州东南部和墨西哥北部的部分。其保护现状有相当多的关注。该品种是神秘彩色的习惯埋在沙走近时，它很难或不可能得到一个完整的计数（2007年格兰特和Doherty）。
K. V. Young conducted a capture–recapture survey of flat-tailed horned lizards 25 km south of Yuma, Arizona, in the Sonoran Desert. The habitat was loose sand dominated by creosote bush and occasional bur-sage and Galletta grass. A 9-ha plot was surveyed 14 times over 17 days (14 June to 1 July 2005). On each occasion the entire 300 m x 300 m plot was searched for lizards. Locations within the plot were recorded by handheld GPS. Lizards were captured by hand and marked individually on their underside with a permanent marker. Marks are lost when the lizard sheds, but this happens infrequently and probably caused few or no identification errors during the 2.5-week study.
KV青年进行了一次调查，平尾角蜥蜴以南25公里亚利桑那州的尤马，捕获 - 再捕获，在索诺兰沙漠。的栖息地是由木馏油灌木和不定期的BUR-圣人和尼斯加莱塔的草为主的松散的沙子。超过17天（2005年六月14日至7月1日）9公顷的图，被调查的14倍。在每次搜索整个300米300米图蜥蜴。内积手持GPS的位置。蜥蜴被抓获的手，其底部分别用记号笔标记。标记时，会丢失蜥蜴棚，但这种情况很少，可能造成2.5周的研究期间很少或根本没有识别错误。
A total of 68 individuals were captured 134 times. Exactly half of the individuals were recaptured at least once.
68人被抓获，共134次。正好有一半的人至少有一次被抓回。
Royle and Young (2008) analysed the present dataset to demonstrate a method for density estimation using data augmentation and MCMC simulation. They noted that the plot size was much larger than has been suggested as being practical in operational monitoring efforts for this species, that the plot was chosen specifically because a high density of individuals was present, and that high densities typically correspond to less movement in this species. The state space in their analysis was a square comprising the searched area and a 100-m buffer (J. A. Royle pers. comm.).
，罗伊尔和Young（2008）分析目前的数据集，以证明密度估计的方法，使用数据增强和MCMC模拟。他们指出，该图的大小是远远大于已被建议作为实际运行监测工作，对这一物种，该图的选择，特别是因为高密度的个体存在，通常对应于高密度减少运动种。在他们的分析中的状态空间是一个正方形，包括搜索区和一个100米的缓冲区（JA罗伊尔，私人通信）。
The detector type for these data is "polygonX" and there is a single detector (the square plot). The data comprise a capture history matrix (the body of hornedlizardCH) and the x-y coordinates of each positive detection (stored as an attribute that may be displayed with the "xy" function); the "traps" attribute of hornedlizardCH contains the vertices of the plot. See ../doc/secr-datainput.pdf for guidance on data input.
对这些数据的检测器类型是polygonX有一个单一的检测器（方形的图）。数据包括一个捕获历史矩阵（身体hornedlizardCH）和每个检测阳性（XY功能，可能会显示与作为一个属性存储）的xy坐标，“陷阱”属性hornedlizardCH包含的顶点的图。 / DOC /秘书服务，datainput.pdf的指导数据输入。
Non-zero entries in a polygonX capture-history matrix indicate the number of the polygon containing the detection. In this case there was just one polygon, so entries are 0 or 1. No animal can appear more than once per occasion with the polygonX detector type, so there is no need to specify "binomN = 1" in secr.fit.
在polygonX捕集历史矩阵中的非零项表示含有该检测的多边形的数量。在这种情况下，只是有一个多边形，所以条目是0或1。没有动物可以每一次出现一次以上的polygonX探测器类型，所以有没有必要指定“binomN的= 1在secr.fit。
源----------Source----------
Royle and Young (2008) and J. A. Royle (pers. comm.), with additional information from K. V. Young (pers. comm.).
罗伊尔和Young（2008）和JA罗伊尔（私人通信），从：KV青年（私人通信）。的其他信息。
参考文献----------References----------
explicit capture–recapture analysis of data from area searches. Ecology 92, 2202–2207.
horned lizard with methods incorporating detection probability. Journal of Wildlife Management 71, 1050–1056
for spatial capture–recapture data: Comment. Ecology 92, 526–528.
capture–recapture data. Ecology 89, 2281–2289.
参见----------See Also----------
capthist, detector, reduce.capthist
capthist，detector，reduce.capthist
实例----------Examples----------
plot(hornedlizardCH, tracks = TRUE, varycol = FALSE,
lab1 = TRUE, laboff = 6, border = 10, title =
"Flat-tailed Horned Lizards (Royle & Young 2008)")
table(table(animalID(hornedlizardCH)))
traps(hornedlizardCH)
## show first few x-y coordinates[＃显示前几x-y坐标。]
head(xy(hornedlizardCH))
## Not run: [＃不运行：]
## Compare default (Poisson) and binomial models for number[比较默认（泊松）和二项式模型数]
## caught[＃抓]
FTHL.fit <- secr.fit(hornedlizardCH)
FTHLbn.fit <- secr.fit(hornedlizardCH, details =
list(distribution = "binomial"))
collate(FTHL.fit, FTHLbn.fit)[,,,"D"]
## Collapse occasions (does not run faster)[＃倍数的场合（不运行速度更快）]
hornedlizardCH.14 <- reduce(hornedlizardCH, columns =
list(1:14), outputdetector = "polygon")
FTHL14.fit <- secr.fit(hornedlizardCH.14, binomN = 14)
## 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。
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发表于 2012-9-29 23:58:17
