Here is what I would do:
#GPS in Decimal Degrees in the form longitude latitude (raw data)
library(maptools)
# create a list of the coords
coordList <- list(
RM215 = matrix(c(-82.1461363, 33.5959109), nrow=1),
SC = matrix(c(-82.025888, 33.606454), nrow=1) ,
RM202 = matrix(c(-81.9906723, 33.5027653), nrow=1),
RM198 = matrix(c(-81.926823, 33.4634678), nrow=1),
HC = matrix(c(-81.920505, 33.46192), nrow=1) ,
RM190 = matrix(c(-81.9317347, 33.3839097), nrow=1),
BC = matrix(c(-81.948189, 33.373043), nrow=1) ,
RM185 = matrix(c(-81.941, 33.3453), nrow=1),
RM179 = matrix(c(-81.890929, 33.317914), nrow=1),
RM148 = matrix(c(-81.7547337, 33.1514072), nrow=1) ,
RM119 = matrix(c(-81.501919, 32.94038), nrow=1),
RM61 = matrix(c(-81.262388, 32.524739), nrow=1))
#start time for the sequence
d060101 <- as.POSIXct("2006-01-01", tz="EST")
#sequence in days
study_seq <- seq(from=d060101, length.out=761, by="days")
# process the list by name so you can use it in the column headings
times <- lapply(names(coordList), function(.name){
.sp <- SpatialPoints(coordList[[.name]],
proj4string=CRS("+proj=longlat +datum=WGS84"))
.time <- data.frame(
sunriset(.sp, study_seq, direction="sunrise", POSIXct.out=TRUE)$time,
sunriset(RM215.sp, study_seq, direction="sunset",
POSIXct.out=TRUE)$time)
colnames(.time) <- paste(.name, c('sr', 'ss'), sep='')
.time
})
sunriseset <- do.call(cbind, times)
head(sunriseset)
On Tue, Jul 15, 2008 at 7:20 PM, stephen sefick <[EMAIL PROTECTED]> wrote:
>
> #GPS in Decimal Degrees in the form longitude latitude (raw data)
>
> library(maptools)
> RM215 <- matrix(c(-82.1461363, 33.5959109), nrow=1)
>
> SC <- matrix(c(-82.025888, 33.606454), nrow=1)
>
> RM202 <- matrix(c(-81.9906723, 33.5027653), nrow=1)
>
> RM198 <- matrix(c(-81.926823, 33.4634678), nrow=1)
>
> HC <- matrix(c(-81.920505, 33.46192), nrow=1)
>
> RM190 <- matrix(c(-81.9317347, 33.3839097), nrow=1)
>
> BC <- matrix(c(-81.948189, 33.373043), nrow=1)
>
> RM185 <- matrix(c(-81.941, 33.3453), nrow=1)
>
> RM179 <- matrix(c(-81.890929, 33.317914), nrow=1)
>
> RM148 <- matrix(c(-81.7547337, 33.1514072), nrow=1)
>
> RM119 <- matrix(c(-81.501919, 32.94038), nrow=1)
>
> RM61 <- matrix(c(-81.262388, 32.524739), nrow=1)
>
>
> #making the points into a map projection (latlong in WGS84)
>
> RM215.sp <- SpatialPoints(RM215, proj4string=CRS("+proj=longlat
> +datum=WGS84"))
>
> #start time for the sequence
> d060101 <- as.POSIXct("2006-01-01", tz="EST")
>
> #sequence in days
> study_seq <- seq(from=d060101, length.out=761, by="days")
>
> #sunrise
> up.215 <- sunriset(RM215.sp, study_seq, direction="sunrise",
> POSIXct.out=TRUE)
>
> #sunset
> down.215 <- sunriset(RM215.sp, study_seq, direction="sunset",
> POSIXct.out=TRUE)
>
>
>
> SC.sp <- SpatialPoints(SC, proj4string=CRS("+proj=longlat +datum=WGS84"))
>
> up.SC <- sunriset(SC.sp, study_seq, direction="sunrise", POSIXct.out=TRUE)
>
> down.SC <- sunriset(SC.sp, study_seq, direction="sunset", POSIXct.out=TRUE)
>
>
>
> RM202.sp <- SpatialPoints(RM202, proj4string=CRS("+proj=longlat
> +datum=WGS84"))
>
> up.202 <- sunriset(RM202.sp, study_seq, direction="sunrise",
> POSIXct.out=TRUE)
>
> down.202 <- sunriset(RM202.sp, study_seq, direction="sunset",
> POSIXct.out=TRUE)
>
>
>
> RM198.sp <- SpatialPoints(RM198, proj4string=CRS("+proj=longlat
> +datum=WGS84"))
>
> up.198 <- sunriset(RM198.sp, study_seq, direction="sunrise",
> POSIXct.out=TRUE)
>
> down.198 <- sunriset(RM198.sp, study_seq, direction="sunset",
> POSIXct.out=TRUE)
>
>
>
> HC.sp <- SpatialPoints(HC, proj4string=CRS("+proj=longlat +datum=WGS84"))
>
> up.HC <- sunriset(HC.sp, study_seq, direction="sunrise", POSIXct.out=TRUE)
>
> down.HC <- sunriset(HC.sp, study_seq, direction="sunset", POSIXct.out=TRUE)
>
>
>
> RM190.sp <- SpatialPoints(RM190, proj4string=CRS("+proj=longlat
> +datum=WGS84"))
>
> up.190 <- sunriset(RM190.sp, study_seq, direction="sunrise",
> POSIXct.out=TRUE)
>
> down.190 <- sunriset(RM190.sp, study_seq, direction="sunset",
> POSIXct.out=TRUE)
>
>
>
> BC.sp <- SpatialPoints(BC, proj4string=CRS("+proj=longlat +datum=WGS84"))
>
> up.BC <- sunriset(BC.sp, study_seq, direction="sunrise", POSIXct.out=TRUE)
>
> down.BC <- sunriset(BC.sp, study_seq, direction="sunset", POSIXct.out=TRUE)
>
>
>
> RM185.sp <- SpatialPoints(RM185, proj4string=CRS("+proj=longlat
> +datum=WGS84"))
>
> up.185 <- sunriset(RM185.sp, study_seq, direction="sunrise",
> POSIXct.out=TRUE)
>
> down.185 <- sunriset(RM185.sp, study_seq, direction="sunset",
> POSIXct.out=TRUE)
>
>
>
> RM179.sp <- SpatialPoints(RM179, proj4string=CRS("+proj=longlat
> +datum=WGS84"))
>
> up.179 <- sunriset(RM179.sp, study_seq, direction="sunrise",
> POSIXct.out=TRUE)
>
> down.179 <- sunriset(RM179.sp, study_seq, direction="sunset",
> POSIXct.out=TRUE)
>
>
>
> RM148.sp <- SpatialPoints(RM148, proj4string=CRS("+proj=longlat
> +datum=WGS84"))
>
> up.148 <- sunriset(RM148.sp, study_seq, direction="sunrise",
> POSIXct.out=TRUE)
>
> down.148 <- sunriset(RM148.sp, study_seq, direction="sunset",
> POSIXct.out=TRUE)
>
>
>
> RM119.sp <- SpatialPoints(RM119, proj4string=CRS("+proj=longlat
> +datum=WGS84"))
>
> up.119 <- sunriset(RM119.sp, study_seq, direction="sunrise",
> POSIXct.out=TRUE)
>
> down.119 <- sunriset(RM119.sp, study_seq, direction="sunset",
> POSIXct.out=TRUE)
>
>
>
> RM61.sp <- SpatialPoints(RM61, proj4string=CRS("+proj=longlat
> +datum=WGS84"))
>
> up.61 <- sunriset(RM61.sp, study_seq, direction="sunrise", POSIXct.out=TRUE)
>
> down.61 <- sunriset(RM61.sp, study_seq, direction="sunset",
> POSIXct.out=TRUE)
>
>
> # put all of the observations side by side sunrise next to sunset then put
> all sites in columns
>
> sunriseset <- cbind(as.data.frame(up.215$time),
> as.data.frame(down.215$time), as.data.frame(up.SC$time),
> as.data.frame(down.SC$time),
>
> as.data.frame(up.202$time), as.data.frame(down.202$time),
> as.data.frame(up.198$time), as.data.frame(down.198$time),
>
> as.data.frame(up.HC$time), as.data.frame(down.HC$time),
> as.data.frame(up.190$time), as.data.frame(down.190$time),
> as.data.frame(up.BC$time),
>
> as.data.frame(down.BC$time), as.data.frame(up.185$time),
> as.data.frame(down.185$time),
>
> as.data.frame(up.179$time), as.data.frame(down.179$time),
> as.data.frame(up.148$time), as.data.frame(down.148$time),
>
> as.data.frame(up.119$time), as.data.frame(down.119$time),
> as.data.frame(up.61$time), as.data.frame(down.61$time))
>
> #name columns the site and then sunrise (st) and sunset (ss)
> colnames(sunriseset) <- c("RM215sr", "RM215ss","SCsr", "SCss","RM202sr",
> "RM202ss" ,"RM198sr", "RM198sr",
>
> "HCsr", "HCsr", "RM190sr", "RM190ss","BCsr","BCss","RM185sr",
> "RM185ss","RM179sr", "RM179sss",
>
> "RM148sr", "RM148ss","RM119sr", "RM119ss","RM61sr", "RM61sr")
>
> On Tue, Jul 15, 2008 at 6:10 PM, jim holtman <[EMAIL PROTECTED]> wrote:
>>
>> I am reasonably sure that it could be more efficient, but it would be
>> very helpfulto have some comments in the code and a description of
>> "what is the problem you are trying to solve". It looks like you can
>> setup some lists and process them more compactly.
>>
>> On Tue, Jul 15, 2008 at 3:21 PM, stephen sefick <[EMAIL PROTECTED]> wrote:
>> > # I am sure that I could be more efficient than this but how? Thanks in
>> > advance.
>> >
>> > #GPS in Decimal Degrees in the form longitude latitude
>> > RM215 <- matrix(c(-82.1461363, 33.5959109), nrow=1)
>> > SC <- matrix(c(-82.025888, 33.606454), nrow=1)
>> > RM202 <- matrix(c(-81.9906723, 33.5027653), nrow=1)
>> > RM198 <- matrix(c(-81.926823, 33.4634678), nrow=1)
>> > HC <- matrix(c(-81.920505, 33.46192), nrow=1)
>> > RM190 <- matrix(c(-81.9317347, 33.3839097), nrow=1)
>> > BC <- matrix(c(-81.948189, 33.373043), nrow=1)
>> > RM185 <- matrix(c(-81.941, 33.3453), nrow=1)
>> > RM179 <- matrix(c(-81.890929, 33.317914), nrow=1)
>> > RM148 <- matrix(c(-81.7547337, 33.1514072), nrow=1)
>> > RM119 <- matrix(c(-81.501919, 32.94038), nrow=1)
>> > RM61 <- matrix(c(-81.262388, 32.524739), nrow=1)
>> >
>> > RM215.sp <- SpatialPoints(RM215, proj4string=CRS("+proj=longlat
>> > +datum=WGS84"))
>> > d060101 <- as.POSIXct("2006-01-01", tz="EST")
>> > study_seq <- seq(from=d060101, length.out=761, by="days")
>> > up.215 <- sunriset(RM215.sp, study_seq, direction="sunrise",
>> > POSIXct.out=TRUE)
>> > down.215 <- sunriset(RM215.sp, study_seq, direction="sunset",
>> > POSIXct.out=TRUE)
>> >
>> > SC.sp <- SpatialPoints(SC, proj4string=CRS("+proj=longlat
>> > +datum=WGS84"))
>> > up.SC <- sunriset(SC.sp, study_seq, direction="sunrise",
>> > POSIXct.out=TRUE)
>> > down.SC <- sunriset(SC.sp, study_seq, direction="sunset",
>> > POSIXct.out=TRUE)
>> >
>> > RM202.sp <- SpatialPoints(RM202, proj4string=CRS("+proj=longlat
>> > +datum=WGS84"))
>> > up.202 <- sunriset(RM202.sp, study_seq, direction="sunrise",
>> > POSIXct.out=TRUE)
>> > down.202 <- sunriset(RM202.sp, study_seq, direction="sunset",
>> > POSIXct.out=TRUE)
>> >
>> > RM198.sp <- SpatialPoints(RM198, proj4string=CRS("+proj=longlat
>> > +datum=WGS84"))
>> > up.198 <- sunriset(RM198.sp, study_seq, direction="sunrise",
>> > POSIXct.out=TRUE)
>> > down.198 <- sunriset(RM198.sp, study_seq, direction="sunset",
>> > POSIXct.out=TRUE)
>> >
>> > HC.sp <- SpatialPoints(HC, proj4string=CRS("+proj=longlat
>> > +datum=WGS84"))
>> > up.HC <- sunriset(HC.sp, study_seq, direction="sunrise",
>> > POSIXct.out=TRUE)
>> > down.HC <- sunriset(HC.sp, study_seq, direction="sunset",
>> > POSIXct.out=TRUE)
>> >
>> > RM190.sp <- SpatialPoints(RM190, proj4string=CRS("+proj=longlat
>> > +datum=WGS84"))
>> > up.190 <- sunriset(RM190.sp, study_seq, direction="sunrise",
>> > POSIXct.out=TRUE)
>> > down.190 <- sunriset(RM190.sp, study_seq, direction="sunset",
>> > POSIXct.out=TRUE)
>> >
>> > BC.sp <- SpatialPoints(BC, proj4string=CRS("+proj=longlat
>> > +datum=WGS84"))
>> > up.BC <- sunriset(BC.sp, study_seq, direction="sunrise",
>> > POSIXct.out=TRUE)
>> > down.BC <- sunriset(BC.sp, study_seq, direction="sunset",
>> > POSIXct.out=TRUE)
>> >
>> > RM185.sp <- SpatialPoints(RM185, proj4string=CRS("+proj=longlat
>> > +datum=WGS84"))
>> > up.185 <- sunriset(RM185.sp, study_seq, direction="sunrise",
>> > POSIXct.out=TRUE)
>> > down.185 <- sunriset(RM185.sp, study_seq, direction="sunset",
>> > POSIXct.out=TRUE)
>> >
>> > RM179.sp <- SpatialPoints(RM179, proj4string=CRS("+proj=longlat
>> > +datum=WGS84"))
>> > up.179 <- sunriset(RM179.sp, study_seq, direction="sunrise",
>> > POSIXct.out=TRUE)
>> > down.179 <- sunriset(RM179.sp, study_seq, direction="sunset",
>> > POSIXct.out=TRUE)
>> >
>> > RM148.sp <- SpatialPoints(RM148, proj4string=CRS("+proj=longlat
>> > +datum=WGS84"))
>> > up.148 <- sunriset(RM148.sp, study_seq, direction="sunrise",
>> > POSIXct.out=TRUE)
>> > down.148 <- sunriset(RM148.sp, study_seq, direction="sunset",
>> > POSIXct.out=TRUE)
>> >
>> > RM119.sp <- SpatialPoints(RM119, proj4string=CRS("+proj=longlat
>> > +datum=WGS84"))
>> > up.119 <- sunriset(RM119.sp, study_seq, direction="sunrise",
>> > POSIXct.out=TRUE)
>> > down.119 <- sunriset(RM119.sp, study_seq, direction="sunset",
>> > POSIXct.out=TRUE)
>> >
>> > RM61.sp <- SpatialPoints(RM61, proj4string=CRS("+proj=longlat
>> > +datum=WGS84"))
>> > up.61 <- sunriset(RM61.sp, study_seq, direction="sunrise",
>> > POSIXct.out=TRUE)
>> > down.61 <- sunriset(RM61.sp, study_seq, direction="sunset",
>> > POSIXct.out=TRUE)
>> >
>> > sunriseset <- cbind(as.data.frame(up.215$time),
>> > as.data.frame(down.215$time), as.data.frame(up.SC$time),
>> > as.data.frame(down.SC$time),
>> > as.data.frame(up.202$time), as.data.frame(down.202$time),
>> > as.data.frame(up.198$time), as.data.frame(down.198$time),
>> > as.data.frame(up.HC$time), as.data.frame(down.HC$time),
>> > as.data.frame(up.190$time), as.data.frame(down.190$time),
>> > as.data.frame(up.BC$time),
>> > as.data.frame(down.BC$time), as.data.frame(up.185$time),
>> > as.data.frame(down.185$time),
>> > as.data.frame(up.179$time), as.data.frame(down.179$time),
>> > as.data.frame(up.148$time), as.data.frame(down.148$time),
>> > as.data.frame(up.119$time), as.data.frame(down.119$time),
>> > as.data.frame(up.61$time), as.data.frame(down.61$time))
>> > colnames(sunriseset) <- c("RM215sr", "RM215ss","SCsr", "SCss","RM202sr",
>> > "RM202ss" ,"RM198sr", "RM198sr",
>> > "HCsr", "HCsr", "RM190sr",
>> > "RM190ss","BCsr","BCss","RM185sr",
>> > "RM185ss","RM179sr", "RM179sss",
>> > "RM148sr", "RM148ss","RM119sr", "RM119ss","RM61sr",
>> > "RM61sr")
>> >
>> > --
>> > Let's not spend our time and resources thinking about things that are so
>> > little or so large that all they really do for us is puff us up and make
>> > us
>> > feel like gods. We are mammals, and have not exhausted the annoying
>> > little
>> > problems of being mammals.
>> >
>> > -K. Mullis
>> >
>> > [[alternative HTML version deleted]]
>> >
>> > ______________________________________________
>> > R-help@r-project.org mailing list
>> > https://stat.ethz.ch/mailman/listinfo/r-help
>> > PLEASE do read the posting guide
>> > http://www.R-project.org/posting-guide.html
>> > and provide commented, minimal, self-contained, reproducible code.
>> >
>>
>>
>>
>> --
>> Jim Holtman
>> Cincinnati, OH
>> +1 513 646 9390
>>
>> What is the problem you are trying to solve?
>
>
>
> --
> Let's not spend our time and resources thinking about things that are so
> little or so large that all they really do for us is puff us up and make us
> feel like gods. We are mammals, and have not exhausted the annoying little
> problems of being mammals.
>
> -K. Mullis
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
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and provide commented, minimal, self-contained, reproducible code.
