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buoy_figs.R
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buoy_figs.R
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####2007####
buoy_2007 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2007_tempstring_L1.csv')
unique(buoy_2007$temp_flag)
unique(buoy_2007$location)
buoy_2007_sub <- buoy_2007 %>%
mutate_at(vars(TempC_9m, TempC_10m, TempC_11m),
funs(case_when(temp_flag == '9.5d, 10.5d, 11.5d, 13.5d' ~ NA_real_,
TRUE ~ .))) %>%
mutate(TempC_9m = case_when(temp_flag == '9.5d, 10.5d, 11.5d, 13.5d' ~ TempC_13m,
TRUE ~ TempC_9m)) %>%
mutate(TempC_13m = case_when(temp_flag == '9.5d, 10.5d, 11.5d, 13.5d' ~ NA_real_,
TRUE ~ TempC_13m)) %>%
mutate_at(vars(TempC_0m:TempC_13m),
funs(case_when(location == 'offline' ~ NA_real_,
TRUE ~ .)))
buoy_2007_sub <- buoy_2007_sub %>%
rename(wtr_0.5 = `TempC_0m`,
wtr_1.0 = `TempC_0p5m`,
wtr_1.5 = `TempC_1m`,
wtr_2.0 = `TempC_1p5m`,
wtr_2.5 = `TempC_2m`,
wtr_3.0 = `TempC_2p5m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`,
wtr_10.5 = `TempC_10m`,
wtr_11.5 = `TempC_11m`,
wtr_13.5 = `TempC_13m`) %>%
select(-temp_flag, -location)
buoy_2007_sub %>%
arrange(datetime) %>%
mutate(datetime = as.character(datetime)) %>%
write_delim("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2007.txt", delim='\t')
wtr.temp.2007 <- load.ts("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2007.txt")
wtr.heat.map(wtr.temp.2007,
xlim=c(as.POSIXct('2007-01-01', tz='UTC'), as.POSIXct('2008-01-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2007$datetime,
at = (seq(as.POSIXct('2007-01-01', tz='UTC'),
as.POSIXct('2008-01-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(-2,30),
plot.title=title(main='2007',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)
####2008####
buoy_2008 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2008_tempstring_L1.csv')
unique(buoy_2008$temp_flag)
unique(buoy_2008$location)
buoy_2008_sub <- buoy_2008 %>%
mutate_at(vars(TempC_9m, TempC_10m, TempC_11m),
funs(case_when(temp_flag == '9.5d, 10.5d, 11.5d, 13.5d' ~ NA_real_,
TRUE ~ .))) %>%
mutate(TempC_9m = case_when(temp_flag == '9.5d, 10.5d, 11.5d, 13.5d' ~ TempC_13m,
TRUE ~ TempC_9m)) %>%
mutate(TempC_13m = case_when(temp_flag == '9.5d, 10.5d, 11.5d, 13.5d' ~ NA_real_,
TRUE ~ TempC_13m)) %>%
mutate_at(vars(TempC_0m:TempC_13m),
funs(case_when(location == 'offline' ~ NA_real_,
TRUE ~ .)))
buoy_2008_sub <- buoy_2008_sub %>%
rename(wtr_0.5 = `TempC_0m`,
wtr_1.0 = `TempC_0p5m`,
wtr_1.5 = `TempC_1m`,
wtr_2.0 = `TempC_1p5m`,
wtr_2.5 = `TempC_2m`,
wtr_3.0 = `TempC_2p5m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`,
wtr_10.5 = `TempC_10m`,
wtr_11.5 = `TempC_11m`,
wtr_13.5 = `TempC_13m`) %>%
select(-temp_flag, -location)
buoy_2008_sub %>%
arrange(datetime) %>%
mutate(datetime = as.character(datetime)) %>%
write_delim("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2008.txt", delim='\t')
wtr.temp.2008 <- load.ts("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2008.txt")
wtr.heat.map(wtr.temp.2008,
xlim=c(as.POSIXct('2008-01-01', tz='UTC'), as.POSIXct('2009-01-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2008$datetime,
at = (seq(as.POSIXct('2008-01-01', tz='UTC'),
as.POSIXct('2009-01-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(-2,30),
plot.title=title(main='2008',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)
####2009####
buoy_2009 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2009_tempstring_L1.csv')
unique(buoy_2009$temp_flag)
unique(buoy_2009$location)
buoy_2009_sub <- buoy_2009 %>%
mutate_at(vars(TempC_9m, TempC_10m, TempC_11m, TempC_13m),
funs(case_when(temp_flag == 'i, 9.5d, 10.5d, 11.5d, 13.5d' ~ NA_real_,
TRUE ~ .))) %>%
mutate_at(vars(TempC_9m, TempC_10m, TempC_11m),
funs(case_when(temp_flag == '9.5d, 10.5d, 11.5d, 13.5d' ~ NA_real_,
TRUE ~ .))) %>%
mutate(TempC_9m = case_when(temp_flag == '9.5d, 10.5d, 11.5d, 13.5d' ~ TempC_13m,
TRUE ~ TempC_9m)) %>%
mutate(TempC_13m = case_when(temp_flag == '9.5d, 10.5d, 11.5d, 13.5d' ~ NA_real_,
TRUE ~ TempC_13m)) %>%
mutate_at(vars(TempC_0m:TempC_13m),
funs(case_when(location == 'offline' ~ NA_real_,
temp_flag == 'q' ~ NA_real_,
TRUE ~ .)))
buoy_2009_sub <- buoy_2009_sub %>%
rename(wtr_0.5 = `TempC_0m`,
wtr_1.0 = `TempC_0p5m`,
wtr_1.5 = `TempC_1m`,
wtr_2.0 = `TempC_1p5m`,
wtr_2.5 = `TempC_2m`,
wtr_3.0 = `TempC_2p5m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`,
wtr_10.5 = `TempC_10m`,
wtr_11.5 = `TempC_11m`,
wtr_13.5 = `TempC_13m`) %>%
select(-temp_flag, -location)
buoy_2009_sub %>%
arrange(datetime) %>%
mutate(datetime = as.character(datetime)) %>%
write_delim("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2009.txt", delim='\t')
wtr.temp.2009 <- load.ts("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2009.txt")
wtr.heat.map(wtr.temp.2009,
xlim=c(as.POSIXct('2009-01-01', tz='UTC'), as.POSIXct('2010-01-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2009$datetime,
at = (seq(as.POSIXct('2009-01-01', tz='UTC'),
as.POSIXct('2010-01-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(-2,30),
plot.title=title(main='2009',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)
####2010####
buoy_2010 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2010_tempstring_L1.csv')
unique(buoy_2010$temp_flag)
unique(buoy_2010$location)
buoy_2010_sub <- buoy_2010 %>%
mutate(TempC_0p5m = case_when(temp_flag == 'q0.5m' ~ NA_real_,
TRUE ~ TempC_0p5m)) %>%
mutate_at(vars(TempC_0p5m:TempC_13m),
funs(case_when(location == 'offline' ~ NA_real_,
location == 'in transit' ~ NA_real_,
location == 'harbor' ~ NA_real_,
temp_flag == 'q' ~ NA_real_,
TRUE ~ .)))
buoy_2010_sub <- buoy_2010_sub %>%
rename(wtr_1.0 = `TempC_0p5m`,
wtr_1.5 = `TempC_1m`,
wtr_2.0 = `TempC_1p5m`,
wtr_2.5 = `TempC_2m`,
wtr_3.0 = `TempC_2p5m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`,
wtr_10.5 = `TempC_10m`,
wtr_11.5 = `TempC_11m`,
wtr_13.5 = `TempC_13m`) %>%
select(-TempC_0m, -temp_flag, -location)
buoy_2010_sub %>%
arrange(datetime) %>%
mutate(datetime = as.character(datetime)) %>%
write_delim("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2010.txt", delim='\t')
wtr.temp.2010 <- load.ts("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2010.txt")
wtr.heat.map(wtr.temp.2010,
xlim=c(as.POSIXct('2010-05-01', tz='UTC'), as.POSIXct('2010-11-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2010$datetime,
at = (seq(as.POSIXct('2010-05-01', tz='UTC'),
as.POSIXct('2010-11-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(5,30),
plot.title=title(main='2010',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)
####2011####
buoy_2011 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2011_tempstring_L1.csv',
col_types = 'Tcnnnnnnnnnn')
unique(buoy_2011$location)
buoy_2011_sub <- buoy_2011 %>%
mutate_at(vars(TempC_0m:TempC_9m),
funs(case_when(location == 'offline' ~ NA_real_,
location == 'in transit' ~ NA_real_,
location == 'harbor' ~ NA_real_,
TRUE ~ .)))
buoy_2011_sub <- buoy_2011_sub %>%
rename(wtr_0.5 = `TempC_0m`,
wtr_1.5 = `TempC_1m`,
wtr_2.5 = `TempC_2m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`) %>%
select(-location)
buoy_2011_sub %>%
arrange(datetime) %>%
mutate(datetime = as.character(datetime)) %>%
write_delim("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2011.txt", delim='\t')
wtr.temp.2011 <- load.ts("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2011.txt")
wtr.heat.map(wtr.temp.2011,
xlim=c(as.POSIXct('2011-05-01', tz='UTC'), as.POSIXct('2011-11-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2011$datetime,
at = (seq(as.POSIXct('2011-05-01', tz='UTC'),
as.POSIXct('2011-11-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(5,30),
plot.title=title(main='2011',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)
####2013####
buoy_2013 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2013_tempstring_L1.csv',
col_types = 'Tcnnnnnnnnnn')
unique(buoy_2013$location)
buoy_2013_sub <- buoy_2013 %>%
mutate_at(vars(TempC_0m:TempC_9m),
funs(case_when(location == 'in transit' ~ NA_real_,
location == 'harbor' ~ NA_real_,
location == 'offline' ~ NA_real_,
TRUE ~ .)))
buoy_2013_sub <- buoy_2013_sub %>%
rename(wtr_0.5 = `TempC_0m`,
wtr_1.5 = `TempC_1m`,
wtr_2.5 = `TempC_2m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`) %>%
select(-location)
buoy_2013_sub %>%
arrange(datetime) %>%
mutate(datetime = as.character(datetime)) %>%
write_delim("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2013.txt", delim='\t')
wtr.temp.2013 <- load.ts("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2013.txt")
wtr.heat.map(wtr.temp.2013,
xlim=c(as.POSIXct('2013-05-01', tz='UTC'), as.POSIXct('2013-11-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2013$datetime,
at = (seq(as.POSIXct('2013-05-01', tz='UTC'),
as.POSIXct('2013-11-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(5,30),
plot.title=title(main='2013',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)
####2014####
buoy_2014 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2014_tempstring_L1.csv',
col_types = 'Tcnnnnnnnnnnnc')
unique(buoy_2014$location)
unique(buoy_2014$temp_flag)
buoy_2014_sub <- buoy_2014 %>%
mutate_at(vars(TempC_0m:TempC_10m),
funs(case_when(location == 'in transit' ~ NA_real_,
location == 'harbor' ~ NA_real_,
location == 'offline' ~ NA_real_,
temp_flag == 'i' ~ NA_real_,
TRUE ~ .))) %>%
mutate(TempC_10m = case_when(temp_flag == '10d, 10n' ~ NA_real_,
TRUE ~ TempC_10m))
buoy_2014_sub <- buoy_2014_sub %>%
rename(wtr_0.5 = `TempC_0m`,
wtr_1.5 = `TempC_1m`,
wtr_2.5 = `TempC_2m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`) %>%
select(-location, -temp_flag, -TempC_10m)
buoy_2014_sub %>%
arrange(datetime) %>%
mutate(datetime = as.character(datetime)) %>%
write_delim("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2014.txt", delim='\t')
wtr.temp.2014 <- load.ts("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2014.txt")
wtr.heat.map(subset(wtr.temp.2014,
subset =(datetime>=as.POSIXct('2014-05-01', tz='UTC') &
datetime< as.POSIXct('2014-11-01', tz='UTC'))),
xlim=c(as.POSIXct('2014-05-01', tz='UTC'), as.POSIXct('2014-11-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2014$datetime,
at = (seq(as.POSIXct('2014-05-01', tz='UTC'),
as.POSIXct('2014-11-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(5,30),
plot.title=title(main='2014',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)
####2015####
buoy_2015 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2015_tempstring_L1.csv',
col_types = 'Tnnnnnnnnnncc')
unique(buoy_2015$location)
unique(buoy_2015$temp_flag)
buoy_2015_sub <- buoy_2015 %>%
mutate_at(vars(TempC_0m:TempC_9m),
funs(case_when(location == 'in transit' ~ NA_real_,
location == 'harbor' ~ NA_real_,
location == 'offline' ~ NA_real_,
temp_flag == 'i' ~ NA_real_,
TRUE ~ .)))
buoy_2015_sub <- buoy_2015_sub %>%
rename(wtr_0.5 = `TempC_0m`,
wtr_1.5 = `TempC_1m`,
wtr_2.5 = `TempC_2m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`) %>%
select(-location, -temp_flag) %>%
filter(datetime < as.POSIXct('2015-08-07 14:15', tz='UTC'))
hobo_2015 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2015_hobotempstring_L1.csv',
col_types = 'Tnnnnnnnnn')
hobo_2015_sub <- hobo_2015 %>%
rename(wtr_1.5 = `TempC_1m`,
wtr_2.5 = `TempC_2m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`) %>%
select(-wtr_2.5, -wtr_6.5)
#winter hobo
winter1516 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2015-2016_hobotempstring_L1.csv',
col_types = 'Tnnnnnnnnn')
winter1516_sub <- winter1516 %>%
rename(wtr_1.5 = `TempC_1m`,
wtr_2.5 = `TempC_2m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`)
buoy_hobo_2015 <- full_join(buoy_2015_sub, hobo_2015_sub) %>%
full_join(., winter1516_sub) %>%
select(-wtr_2.5, -wtr_6.5)
buoy_hobo_2015 %>%
arrange(datetime) %>%
mutate(datetime = as.character(datetime)) %>%
write_delim("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2015.txt", delim='\t')
wtr.temp.2015 <- load.ts("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2015.txt")
wtr.heat.map(subset(wtr.temp.2015,
subset =(datetime>=as.POSIXct('2015-05-01', tz='UTC') &
datetime< as.POSIXct('2015-11-01', tz='UTC'))),
xlim=c(as.POSIXct('2015-05-01', tz='UTC'), as.POSIXct('2015-11-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2015$datetime,
at = (seq(as.POSIXct('2015-05-01', tz='UTC'),
as.POSIXct('2015-11-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(5,30),
plot.title=title(main='2015',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)
wtr.heat.map(wtr.temp.2015,
xlim=c(as.POSIXct('2015-01-01', tz='UTC'), as.POSIXct('2016-01-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2015$datetime,
at = (seq(as.POSIXct('2015-01-01', tz='UTC'),
as.POSIXct('2016-01-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(-2,30),
plot.title=title(main='2015',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)
####2016####
early16 <- winter1516 %>%
filter(datetime >= as.POSIXct('2016-01-01', tz='UTC')) %>%
rename(wtr_1.5 = `TempC_1m`,
wtr_2.5 = `TempC_2m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`)
#through 2016-05-03 11:00:00
buoy_2016 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2016_tempstring_L1.csv',
col_types = 'Tnnnnnnnnnnnc')
unique(buoy_2016$location)
buoy_2016_sub <- buoy_2016 %>%
mutate_at(vars(TempC_0m:TempC_9m),
funs(case_when(location == 'in transit' ~ NA_real_,
location == 'harbor' ~ NA_real_,
TRUE ~ .))) %>%
select(-Chlor_RFU) %>%
filter(datetime>as.POSIXct('2016-05-03 11:00:00', tz='UTC'))
buoy_2016_sub <- buoy_2016_sub %>%
rename(wtr_0.5 = `TempC_0m`,
wtr_1.5 = `TempC_1m`,
wtr_2.5 = `TempC_2m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`) %>%
select(-location) %>%
filter(datetime <= as.POSIXct('2016-10-12 12:00', tz='UTC'))
#winter hobo
winter1617 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2016-2017_hobotempstring_L1.csv',
col_types = 'Tnnnnnnnnn')
winter1617_sub <- winter1617 %>%
rename(wtr_1.5 = `TempC_1m`,
wtr_2.5 = `TempC_2m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`)
buoy_hobo_2016 <- full_join(early16, buoy_2016_sub) %>%
full_join(., winter1617_sub)
buoy_hobo_2016 %>%
filter(datetime < as.POSIXct('2017-01-01', tz='UTC')) %>%
arrange(datetime) %>%
mutate(datetime = as.character(datetime)) %>%
write_delim("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2016.txt", delim='\t')
wtr.temp.2016 <- load.ts("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2016.txt")
wtr.heat.map(subset(wtr.temp.2016,
subset =(datetime>=as.POSIXct('2016-05-01', tz='UTC') &
datetime< as.POSIXct('2016-11-01', tz='UTC'))),
xlim=c(as.POSIXct('2016-05-01', tz='UTC'), as.POSIXct('2016-11-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2016$datetime,
at = (seq(as.POSIXct('2016-05-01', tz='UTC'),
as.POSIXct('2016-11-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(5,30),
plot.title=title(main='2016',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)
wtr.heat.map(wtr.temp.2016,
xlim=c(as.POSIXct('2016-01-01', tz='UTC'), as.POSIXct('2017-01-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2016$datetime,
at = (seq(as.POSIXct('2016-01-01', tz='UTC'),
as.POSIXct('2017-01-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(-2,30),
plot.title=title(main='2016',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)
####2017####
early17 <- winter1617 %>%
filter(datetime >= as.POSIXct('2017-01-01', tz='UTC')) %>%
rename(wtr_1.5 = `TempC_1m`,
wtr_2.5 = `TempC_2m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`)
#through 2017-05-17 10:15:00
buoy_2017 <- read_csv('C:/Users/steeleb/Dropbox/Lake Sunapee/monitoring/buoy data/data/all sensors/L1/2017_tempstring_L1.csv',
col_types = 'Tnnnnnnnnnnc')
unique(buoy_2017$location)
buoy_2017_sub <- buoy_2017 %>%
mutate_at(vars(TempC_0m:TempC_9m),
funs(case_when(location == 'in transit' ~ NA_real_,
location == 'harbor' ~ NA_real_,
location == 'offline' ~ NA_real_,
location == 'harbor, water sensors offline' ~ NA_real_,
TRUE ~ .))) #%>%
#filter(datetime>as.POSIXct('2017-05-17 10:15:00', tz='UTC'))
buoy_2017_sub <- buoy_2017_sub %>%
rename(wtr_1.5 = `TempC_1m`,
wtr_2.5 = `TempC_2m`,
wtr_3.5 = `TempC_3m`,
wtr_4.5 = `TempC_4m`,
wtr_5.5 = `TempC_5m`,
wtr_6.5 = `TempC_6m`,
wtr_7.5 = `TempC_7m`,
wtr_8.5 = `TempC_8m`,
wtr_9.5 = `TempC_9m`) %>%
select(-location, -TempC_0m)
#no winter hobo yet
#errors when merging for some reason - just going to display buoy data
buoy_2017_sub %>%
arrange(datetime) %>%
mutate(datetime = as.character(datetime)) %>%
write_delim("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2017.txt", delim='\t')
wtr.temp.2017 <- load.ts("C:/Users/steeleb/Dropbox/Lake Sunapee/misc/state of the lake/r program sotl/heatmap files/water_temp_buoy_2017.txt")
wtr.heat.map(subset(wtr.temp.2017,
subset =(datetime>=as.POSIXct('2017-05-01', tz='UTC') &
datetime< as.POSIXct('2017-11-01', tz='UTC'))),
xlim=c(as.POSIXct('2017-05-01', tz='UTC'), as.POSIXct('2017-11-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2017$datetime,
at = (seq(as.POSIXct('2017-05-01', tz='UTC'),
as.POSIXct('2017-11-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(5,30),
plot.title=title(main='2017',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)
wtr.heat.map(wtr.temp.2017,
xlim=c(as.POSIXct('2017-01-01', tz='UTC'), as.POSIXct('2017-01-01', tz='UTC')),
plot.axes = { axis.POSIXct(side=1,
x=wtr.temp.2017$datetime,
at = (seq(as.POSIXct('2017-01-01', tz='UTC'),
as.POSIXct('2017-01-01', tz='UTC'),
by = "month")),
format = "%b");
axis(2) },
zlim=c(-2,30),
plot.title=title(main='2017',
ylab="depth (m)",
xlab=NULL),
key.title=title(main="water\ntemp\n(C)",
font.main=1,
cex.main=1)
)