scripts/ChinaHW_cluster/tests/temp_s2_挑选站点.Rmd:

## content
- [ ] 粗略挑选站点，去除年份过短的站点
```{r}

task/20180828_通道站点统计.Rmd:

title: "20180828_通道站点统计"
author: "wzy"
date: "2018年8月28日"

scripts/met840/Step01_站点信息检查.R:

## -----------------global functions-------------------
# 对于发生迁移的气象站点应该如何处理
#'param i: 1, 2, 3分别代表首、中、尾

scripts/met840/Step01_站点信息检查.R:

## -----------------global functions-------------------
# 对于发生迁移的气象站点应该如何处理
#'param i: 1, 2, 3分别代表首、中、尾

task/20180930_分等级站点地图.Rmd:

,label = ~label,popup = ~popup,color = ~pal(col),group = "全部站点") %>%
addCircleMarkers(data=gg,label = ~label,popup

data-raw/station/V2014/st_met2474-匹配站点信息.R:

## 匹配站点
library(purrr)
library(data.table)

data-raw/station/V2014/st_met2474-匹配站点信息.R:

## 匹配站点
library(purrr)
library(data.table)

w2: Simulated w2 data used in Murray et al. (2013)

R: Simulated w2 data used in Murray et al. (2013)
w2R Documentation
Simulated w2 data used in Murray et al. (2013

scripts/C3&C4/s1_挑选站点.R:

# - `Radiation`: `W m-2`
# - `PPFD_IN`, `CO2_F_MDS`: `µmolPhoton m-2 s-1

getQN_log_byCspName: 查询千牛日志按导购人员

R: 查询千牛日志按导购人员
getQN_log_byCspNameR Documentation
查询千牛日志按导购人员

data-raw/station_movInfo/s1_修复站点错误位置信息_201812.R:

d_mov <- st_moveInfo # previous version location info
st_moveInfo_raw <- fread("data-raw/mete2481_站点变迁记录-(195101-201812

scripts/heatwave_RHtests/s1_修复站点错误位置信息_201812.Rmd:

```{r}
st_moveInfo <- fread("data-raw/mete2481_站点变迁记录-(195101-201812).csv")
# 1961年之前，数据有较多的错误

experiments/20180821_收费站交调站画图.Rmd:

:\\data\\sx_raw\\基础数据\\站点管理\\all.csv",stringsAsFactors = F)
allstation$省 <- substr(allstation$行政区划,1,4)
hljjdstation

data-raw/station_movInfo/s1_修复站点错误位置信息_201812.R:

d_mov <- st_moveInfo # previous version location info
st_moveInfo_raw <- fread("data-raw/mete2481_站点变迁记录-(195101-201812

W2: variance matrix for beta2

as per page 4 of the supplement
Usage
W2(D2, H2, V, det=FALSE)

w2: number of internal nodes that have two children terminal

two children terminal nodes.
Description
number of internal nodes that have two children terminal nodes.

w2: Cramer-von Mises W-squared statistic

W-squared statistic (from transformed data) as per formula given in D'Agostino and Stephens (1986) page 101
Usage
w2