make.systematic(secr)
make.systematic()所属R语言包：secr
Construct Systematic Detector Design
建设系统检测器的设计
译者：生物统计家园网 机器人LoveR
描述----------Description----------
A rectangular grid of clusters within a polygonal region.
多边形区域的矩形网格，聚类内。
用法----------Usage----------
make.systematic(n, cluster, region, spacing = NULL, origin = NULL, ...)
参数----------Arguments----------
参数：n
integer approximate number of clusters (see Details)
整数大致分类数（见详情）
参数：cluster
traps object defining a single cluster
陷阱对象定义了一个单独的聚类
参数：region
dataframe or SpatialPolygonsDataFrame with coordinates of perimeter
用的数据框或SpatialPolygonsDataFrame的坐标，周长
参数：spacing
scalar distance between cluster centres
标量聚类中心之间的距离
参数：origin
vector giving x- and y-cooordinates of fixed grid origin (origin is otherwise random)
向量为x和y cooordinates定格原产地（原产地，否则随机）
参数：...
arguments passed to trap.builder
参数传递给trap.builder
Details
详细信息----------Details----------
region may be any shape. The sp class SpatialPolygonsDataFrame is useful for complex shapes and input from shapefiles using maptools (see Examples). Otherwise, region should be a dataframe with columns "x" and "y".
region可以是任何形状。 sp的类SpatialPolygonsDataFrame是复杂的形状，从shapefile投入使用maptools（见例）。否则，region应该是一个数据框的列x和y的。
spacing may be a vector with separate values for spacing in x- and y- directions. If spacing is provided then n is ignored.
spacing可以是一个矢量在x-和y-方向的间距与单独的值。如果spacing提供然后n被忽略。
If n is a scalar, the spacing of clusters is determined from the area of the bounding box of region divided by the requested number of clusters (this does not necessarily result in exactly n clusters). If n is a vector of two integers these are taken to be the number of columns and the number of rows.
如果n是一个标量，聚类的间距确定的边界框的面积region除以所要求数量的簇（这并不一定导致完全团簇）。如果n是一个向量的两个整数采取的列数和行数。
After preparing a frame of cluster centres, make.systematic calls trap.builder with method = "all"; ... allows the arguments "rotation", "edgemethod", "plt", and "detector" to be passed. Setting the trap.builder arguments frame, method, and samplefactor has no effect.
在准备一帧的聚类中心，make.systematic调用trap.builder=所有; ...允许参数旋转，edgemethod，plt的，和探测器以被传递。设置trap.builder参数frame，method和samplefactor有没有影响。
值----------Value----------
A single-session "traps" object.
单届“陷阱”的对象。
注意----------Note----------
Do not confuse with the simpler function make.grid, which places single detectors in a rectangular array.
不要混淆简单的函数make.grid，单在矩形阵列探测器。
参见----------See Also----------
trap.builder, cluster.centres, readShapePoly
trap.builder，cluster.centres，readShapePoly
实例----------Examples----------
mini <- make.grid(nx = 2, ny = 2, spacing = 100)
region <- cbind(x=c(0,2000,2000,0), y=c(0,0,2000,2000))
temp <- make.systematic(25, mini, region, plt = TRUE)
temp <- make.systematic(c(6, 6), mini, region, plt = TRUE,
rotation = -1)
## Example using shapefile "possumarea.shp" in[＃示例使用的shapefile的“possumarea.shp”]
## "extdata" folder. By default, each cluster is [＃“扩展数据”文件夹。默认情况下，每个簇]
## a single multi-catch detector[＃一个单一的多副渔获物检测器]
## Not run: [＃不运行：]
require(maptools)
setwd(system.file("extdata", package = "secr"))
possumarea <- readShapePoly("possumarea")
possumgrid <- make.systematic(spacing = 100, region =
possumarea, plt = TRUE)
## or with 2 x 2 clusters[＃或2×2群]
possumgrid2 <- make.systematic(spacing = 300,
cluster = make.grid(nx = 2, ny = 2, spacing = 100),
region = possumarea, plt = TRUE, edgemethod =
"allinside")
## label clusters[＃标签聚类]
text(cluster.centres(possumgrid2), levels(clusterID
(possumgrid2)), cex=0.7)
## If you have GPSBabel installed and on the Path[＃如果你GPSBabel的安装路径]
## then coordinates can be projected and uploaded[然后坐标，可以预计，并上传]
## to a GPS with `writeGPS', which also requires the[＃与的writeGPS，这也需要一个GPS]
## package `proj4'. Defaults are for a Garmin GPS[＃封装的proj4的“。默认值是Garmin的GPS]
## connected by USB.[＃通过USB连接。]
writeGPS(possumgrid, proj = "+proj=nzmg")
## 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。
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 23:59:28
