skink(secr)
skink()所属R语言包：secr
Skink Pitfall Data
“石龙子陷阱数据
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Data from a study of skinks (Oligosoma infrapunctatum and O. lineoocellatum) in New Zealand.
石龙子（Oligosoma infrapunctatum和O lineoocellatum）在新西兰的一项研究数据。
用法----------Usage----------
data(skink)
Details
详细信息----------Details----------
Lizards were studied over several years on a steep bracken-covered hillside on Lake Station in the Upper Buller Valley, South Island, New Zealand. Pitfall traps (sunken cans baited with a morsel of fruit in sugar syrup) were set in two large grids, each 11 x 21 traps nominally 5 meters apart, surveyed by tape and compass (locations determined later with precision surveying equipment - see Examples). Three diurnal lizard species were trapped: Oligosoma infrapunctatum, O. lineoocellatum and O. polychroma (Scincidae). The smallest species O. polychroma was seldom caught and these data are not included. The two other species are almost equal in average size (about 160 mm total length); they are long-lived and probably mature in their second or third year. The study aimed to examine their habitat use and competitive interactions.
几年来蕨菜覆盖在陡峭的山坡上湖站上布勒谷，南岛，新西兰蜥蜴进行了研究。陷阱（下沉式诱饵与一些食物水果糖浆罐），设置在两个大网格，每个11×21的陷阱名义上5米，调查的磁带和指南针（位置确定后，精密测量设备 - 见示例）。三日蜥蜴被困Oligosoma infrapunctatum，O. lineoocellatum和石龙子科：O. polychroma（）。最小的品种O. polychroma很少被抓到，这些数据并不包括在内。其他两个品种几乎等于平均规模（总长度约160毫米），他们是寿命长，可能是成熟的，在他们的第二或第三年。本研究旨在探讨它们的栖息地使用和有竞争力的相互作用。
Traps were set for 12 3-day sessions over 1995–1996, but some sessions yielded very few captures because skinks were inactive, and some sessions were incomplete for logistical reasons. The data are from sessions 6 and 7 in late spring (17–20 October 1995 and 14–17 November 1995). Traps were cleared daily; the few skinks present when traps were closed on the morning of the fourth day are treated as Day 3 captures. Individuals were marked uniquely by clipping one toe on each foot. Natural toe loss caused some problems with long-term identification; captures were dropped from the dataset when identity was uncertain. Released animals were occasionally recaptured in a different trap on the same day; these records were also discarded.
超过1995至1996年，设置陷阱12 3天的会议，但会议取得了很少的捕捉，因为石龙子是无效的，有些会议是不完整的后勤方面的原因。这些数据是从会议6和7，在春季后期（1995年10月17日至20日和1995年11月14-17日）。陷阱每天被清除，目前的几个石龙子陷阱被关闭的第四天上午，被视为第3天捕获。个人标记唯一的一个脚趾夹在每只脚。脚趾自然损耗造成了一定的问题，术语识别;的捕获被丢弃的数据集时的身份是不确定的。在一个不同的陷阱在同一天公布的动物是偶尔夺回，这些记录也被丢弃。
The data are provided as two two-session capthist objects "infraCH" and "lineoCH". Also included is "LStraps", the traps object with the coordinates and covariates of the trap sites (these data are also embedded in each of the capthist objects). Pitfall traps are multi-catch traps so detector(LStraps) = "multi".
这些数据是提供两个会话capthist对象infraCH“和”lineoCH的。还包括是LStraps，traps对象的坐标和协变量的陷阱网站（这些数据还嵌入在每个capthist对象）。陷阱多捕捉陷阱，这样detector(LStraps)=多。
Habitat data for each trap site are included as a dataframe of trap covariates in LStraps. Ground cover and vegetation were recorded for a 1-m radius plot at each trap site. The dataframe also gives the total number of captures of each species by site on 31 days between April 1995 and March 1996, and the maximum potential annual solar radiation calculated from slope and aspect (Frank and Lee 1966). Each site was assigned to a habitat class by fuzzy clustering (Kaufman and Rousseauw 1990; package cluster) of a distance matrix using the ground cover, vegetation and solar radiation variables. Sites in class 1 were open with bare ground or low-canopy vegetation including the heath-like Leucopogon fraseri and grasses; sites in class 2 had more-closed vegetation, lacking Leucopogon fraseri and with a higher canopy that often included Coriaria arborea. Site variables are listed with definitions in the attribute habitat.variables of LStraps (see Examples).
每个陷阱的网站都包含一个数据框的陷阱协变量LStraps人居署的数据。地面覆盖和植被被记录为1米的半径图，在每个陷阱。数据框也给出了现场的每一个物种的捕获总数在1995年4月和1996年3月31日，最大的潜在的年太阳辐射计算坡度和坡向（弗兰克·李1966年）。每个站点都被分配到一个栖息地类模糊聚类（考夫曼和Rousseauw 1990套件“cluster）的距离矩阵，利用地面覆盖，植被及太阳辐射的变量。 1级的网站是开放的，包括的健康状Leucopogon的红叶石楠和草裸露的地面或低檐篷植被;在第2类网站更封闭的植被，缺乏Leucopogon红叶石楠，具有较高的树冠，通常包括马桑梓。网站列出变量定义的属性habitat.variablesLStraps（见例）。
源----------Source----------
M. G. Efford, B. W. Thomas and N. J. Spencer unpublished data.
MG Efford，BW托马斯和新泽西州斯宾塞未发表的数据。
参考文献----------References----------
P. In prep. Distribution of sympatric skink species in relation to habitat.
slopes. United States Forest Service Research Paper RM-118.
introduction to cluster analysis. John Wiley & Sons, New York.
Diet and life history variation in the sympatric lizards Oligosoma nigriplantare polychroma and Oligosoma lineoocellatum. New Zealand Journal of Zoology 25: 457–463.
参见----------See Also----------
capthist, covariates
capthist，covariates
实例----------Examples----------
summary (infraCH)
summary (lineoCH)
## check mean distance to nearest trap etc.[＃检查的平均距离最近的陷阱等]
summary(LStraps)
## LStraps has several site covariates; terse descriptions are in[＃LStraps有几个网站的协变量简洁的描述中]
## an extra attribute that may be displayed thus[＃一个额外的属性，从而可能会显示]
attr(LStraps, "habitat.variables")
## For density modelling we need covariate values at each point in the[＃密度建模，我们需要在每个点的协变量值]
## habitat mask. This requires both on-grid interpolation and[＃栖息地的面具。这既需要上网的插值和]
## extrapolation beyond the grids. One (crude) possibility is to[＃超出了电网的外推。 （粗品）的可能性是]
## extrapolate a mask covariate from a covariate of the nearest trap:[＃推断协从最近的陷阱协变量的面具：]
LSmask <- make.mask(LStraps, buffer = 30, type = "trapbuffer")
temp <- nearesttrap(LSmask, LStraps)
habclass <- covariates(LStraps)$class[temp]
habclass <- factor (habclass, levels = c(1,2))
covariates(LSmask) <- data.frame(habclass)
## plot mask with colour-coded covariate[＃图面膜用颜色编码的协]
oldpar <- par(fg="white") ## white pixel borders[＃白色像素边界]
plot (LSmask, covariate = "habclass", dots = FALSE, axes = FALSE,
col = c("yellow","green"), border = 0)
plot(LStraps, add = TRUE, detpar = list(pch = 16))
par(oldpar)
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 2012-9-30 00:05:20
