R语言模拟分层空间距离采样模型的数据sim.spatialHDS()函数-中英文对照帮助文档
By MicroRbt Martinez PhD
R语言函数名：sim.spatialHDS()
R语言函数功能：模拟分层空间距离采样模型的数据
来自资源库：CRAN
sim.spatialHDS()函数所属R语言包：所在R包具体名称、包功能的中英文双语描述见正文后面'--所在R语言包信息--'部分。
描述-----Description-----
Generates data for distance sampling from spatially-replicated point transects, with density dependent on a spatially correlated habitat covariate. For each point count, the procedure is:
从空间复制的点样点生成用于距离采样的数据，其密度取决于与空间相关的栖息地协变量。对于每个点数，该过程为：
1. Simulate the habitat covariate over a grid of pixels covering a square.
1.在覆盖正方形的像素网格上模拟栖息地协变量。
2. Distribute the population of individuals over the square with probability of location in a pixel related to the covariate.
2.以与协变量相关的像素位置概率在正方形上分布个体。
3. Decide which individuals are detected using a distance sampling model with an observer at the centre of the square, with a half normal detection function. (Note that individuals outside the circle of radius B can be detected.)
3.确定使用距离采样模型检测哪些个体，并且观察者位于正方形的中心，并具有一半的法线检测功能。 （请注意，可以检测到半径为B的圆以外的个人。）
The locations and detection status of individuals at all sites are collated and returned, except for individuals at sites when none are detected.
整理并返回所有站点上人员的位置和检测状态，�
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发表于 2020-8-21 20:55:20
