continuity_ratio(RMAWGEN)
continuity_ratio()所属R语言包:RMAWGEN
Calculates the continuity ratio of a set of precipitation measured or generated data in several sites as defined by Wilks, 1998 (see reference link)
计算测量的或生成的数据在几个地点威尔克斯,1998(见参考文献链接所定义的一组析出的连续性比)
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Calculates the continuity ratio of a set of precipitation measured or generated data in several sites as defined by Wilks, 1998 (see reference link)
计算测量的或生成的数据在几个地点威尔克斯,1998(见参考文献链接所定义的一组析出的连续性比)
用法----------Usage----------
continuity_ratio(data, lag = 0, valmin = 0.5)
参数----------Arguments----------
参数:data
containing daily precipitation time series for several gauges (one gauge time series per column)
日降水量时间序列包含几个测量仪(测一个时间数列,每列)
参数:lag
numeric lag (expressed as number of days) used for computation for "cross" continuity ratio and joint probability of prercipitation (no)occurence.
“跨界”的连续性比联合概率prercipitation(无)发生“用于计算的数字延迟(以天数表示)。
参数:valmin
threshold precipitation value [mm] for wet/dry day indicator. If precipitation is lower than valmin, day is considered dry. Default is 0.5 mm.
阈值沉淀值[毫米]湿/干一天的指标。如果降水量低于valmin,一天被认为是干的。默认值是0.5毫米。
值----------Value----------
A list containing the following matrices:
列表包含以下矩阵:
continuity_ratio : lag-day lagged continuity ratio ,
continuity_ratio:lag天的滞后连续性的比例,
occurence : joint probability of lag-day lagged precipitation occurence
occurence:联合lag天的滞后降水发生的概率
nooccurence : joint probability of lag-day lagged no precipitation occurence.
nooccurence:lag天的联合概率滞后无沉淀发生“。
注意----------Note----------
If lag==0 the function returns the conuity rantio and joint propabilirty as dexribed by Wilks, 1998. Otherwise the precipitation values for each couple of rain gauges are take with lag-day lag.
如果lag==0:该函数返回conuity的rantio和威尔克斯,1998年dexribed的的联合propabilirty作为。否则,每对夫妇的雨量计的降水值是带lag天的滞后。
(作者)----------Author(s)----------
Emanuele Cordano, Emanuele Eccel
参考文献----------References----------
http://onlinelibrary.wiley.com/doi/10.1002/joc.2305/abstract and http://www.sciencedirect.com/science/article/pii/S0022169498001863
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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