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R语言 secr包 homerange()函数中文帮助文档(中英文对照)

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发表于 2012-9-29 23:58:10 | 显示全部楼层 |阅读模式
homerange(secr)
homerange()所属R语言包:secr

                                         Home Range Statistics
                                         活动范围统计

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Some ad hoc measures of home range size may be calculated in secr from capture–recapture data:
一些临时措施的活动范围大小secr捕获 - 再捕获数据,可以计算:

dbar is the mean distance between consecutive capture locations, pooled over individuals (e.g. Efford 2004). moves returns the raw distances.
dbar是连续捕获位置之间的平均距离,汇集对个人(例如Efford 2004年),。 moves返回原始的距离。

RPSV (for "Root Pooled Spatial Variance") is a measure of the 2-D dispersion of the locations at which individual animals are detected, pooled over individuals.
RPSV(根汇集空间变异)的2-D的分散体,在该位置被检测到,动物个体汇集对个人是衡量。

MMDM (for "Mean Maximum Distance Moved") is the average maximum distance between detections of each individual i.e. the observed range length averaged over individuals (Otis et al. 1978).
MMDM(平均数最大移动距离“)是所观察到的范围内的长度,即每个个体的检测之间的距离的平均最大平均超过个人(奥蒂斯等人,1978)。

ARL or "Asymptotic Range Length") is obtained by fitting an exponential curve to the scatter of observed individual range length vs the number of detections of each individual (Jett and Nichols 1987: 889).
ARL或的渐近范围长度“)的拟合指数曲线的散射观察到的单独的范围的长度与每个个人(杰特和Nichols,1987:889)的数量的检测是通过以下方式获得。


用法----------Usage----------


dbar(capthist)
RPSV(capthist)
MMDM(capthist, min.recapt = 1, full = FALSE)
ARL(capthist, min.recapt = 1, plt = FALSE, full = FALSE)
moves(capthist)



参数----------Arguments----------

参数:capthist
object of class capthist  
对象的类capthist


参数:min.recapt
integer minimum number of recaptures for a detection history to be used  
为要使用的检测历史夺回整数的最小数目


参数:plt
logical; if TRUE observed range length is plotted against number of recaptures  
逻辑,如果是TRUE观察到的范围的长度暗算数量夺回


参数:full
logical; set to TRUE for detailed output  
逻辑;详细的输出设置为TRUE


Details

详细信息----------Details----------

dbar is defined as
dbar被定义为

RPSV is defined as
RPSV被定义为

dbar and RPSV have a specific role as proxies for detection scale in inverse-prediction estimation of density (Efford 2004; see ip.secr).
dbar和RPSV有一个特定的角色作为代理检测规模的逆预测估计密度(Efford 2004年看到ip.secr)。

RPSV is used in autoini to obtain plausible starting values for maximum likelihood estimation.
RPSVautoini获得最大似然估计的合理的初始值。

MMDM and ARL discard data from detection histories containing fewer than min.recapt+1 detections.
MMDM和ARL的丢弃数据从检测的历史不到min.recapt+1检测。


值----------Value----------

Scalar distance in metres, or a list of such values if capthist is a multi-session list.
标量米的距离,这样的值,如果capthist是一个多会话列表或列表。

The full argument may be used with MMDM and ARL to return more extensive output, particularly the observed range length for each detection history.
full参数可用于MMDM和ARL,返回更广泛的输出,特别是观察到的范围长度为每个检测历史。


注意----------Note----------

All measures are affected by the arrangement of detectors. dbar is also affected quite strongly by serial correlation in the sampled locations. Using dbar with "proximity" detectors raises a problem of interpretation, as the original sequence of multiple detections within an occasion is unknown. RPSV is a value analogous to the standard deviation of locations about the home range centre.
受探测器的安排,所有的措施。 dbar也相当强烈影响的序列相关的采样地点。使用dbar与接近探测器的解释提出了一个问题,在一个场合多次检测的原始顺序是未知的。 RPSV是一个类似于家庭范围的中心的位置有关的标准偏差的值。

The value returned by dbar for "proximity" or "count" detectors is of little use because multiple detections of an individual within an occasion are in arbitrary order.
返回的值dbar接近或数探测器是没有多大用处的,因为一个人在一个场合多次检测以任意顺序。

Inclusion of these measures in the secr package does not mean they are recommended for general use! It is usually better to use a spatial parameter from a fitted model (e.g., sigma of the half-normal detection function). Even then, be careful that sigma is not "contaminated" with behavioural effects (e.g. attraction of animal to detector) or "detection at a distance".
包含secr包这些措施并不意味着他们推荐一般使用!从拟合模型(例如,sigma半正常的检测功能)使用空间的参数,它通常是更好的。即使是这样,要小心sigma没有污染的行为的影响(例如吸引力的动物检测器)的检测在距离。


参考文献----------References----------

Oikos 106, 598–610.
and trapping web density estimators. Journal of Mammalogy 68, 888–892.
Statistical inference from capture data on closed animal populations. Wildlife Monographs 62, 1–135.

参见----------See Also----------

autoini
autoini


实例----------Examples----------


dbar(captdata)
RPSV(captdata)

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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