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Merge pull request #227 from jread-usgs/master
vignette for CRAN v1.1.3
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## ----setup, include=FALSE--------------------------------- | ||
library(rmarkdown) | ||
options(continue=" ") | ||
options(width=60) | ||
library(knitr) | ||
library(geoknife) | ||
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## ---- eval=FALSE------------------------------------------ | ||
# install.packages("geoknife", | ||
# repos = c("http://owi.usgs.gov/R","http://cran.rstudio.com/"), | ||
# dependencies = TRUE) | ||
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## ---- eval=FALSE------------------------------------------ | ||
# install.packages("devtools") | ||
# devtools::install_github('USGS-R/geoknife') | ||
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## --------------------------------------------------------- | ||
library(geoknife) | ||
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## --------------------------------------------------------- | ||
stencil <- simplegeom(c(-89, 46.23)) | ||
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## --------------------------------------------------------- | ||
stencil <- simplegeom(data.frame( | ||
'point1' = c(-89, 46), | ||
'point2' = c(-88.6, 45.2))) | ||
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## --------------------------------------------------------- | ||
stencil <- webgeom('state::New Hampshire') | ||
stencil <- webgeom('state::New Hampshire,Wisconsin,Alabama') | ||
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## --------------------------------------------------------- | ||
stencil <- webgeom('HUC8::09020306,14060009') | ||
# display stencil: | ||
stencil | ||
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## --------------------------------------------------------- | ||
HUCs <- query(stencil, 'values') | ||
# there are thousands of results, but head() will only display a few of them | ||
head(HUCs) | ||
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## --------------------------------------------------------- | ||
fabric <- webdata('prism') | ||
fabric | ||
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## --------------------------------------------------------- | ||
times(fabric) <- c('1990-01-01','2010-01-01') | ||
variables(fabric) <- c('ppt','tmx', 'tmn') | ||
fabric | ||
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## --------------------------------------------------------- | ||
job <- geoknife(stencil, fabric) | ||
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## --------------------------------------------------------- | ||
check(job) | ||
running(job) | ||
error(job) | ||
successful(job) | ||
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## --------------------------------------------------------- | ||
job <- cancel(job) | ||
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## --------------------------------------------------------- | ||
job <- geoknife(stencil, fabric, wait = TRUE) | ||
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## ---- fig.height=3.5, fig.width=7------------------------- | ||
data <- result(job) | ||
plot(data[,1:2], ylab = variables(fabric)) | ||
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## ---- eval=FALSE------------------------------------------ | ||
# job <- geoknife(webgeom('state::Wisconsin'), fabric = 'prism', email = '[email protected]') | ||
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## --------------------------------------------------------- | ||
stencil <- simplegeom(c(-89, 45.43)) | ||
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## --------------------------------------------------------- | ||
stencil <- simplegeom(data.frame( | ||
'point1' = c(-89, 46), | ||
'point2' = c(-88.6, 45.2))) | ||
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## --------------------------------------------------------- | ||
library(sp) | ||
Sr1 = Polygon(cbind(c(2,4,4,1,2),c(2,3,5,4,2))) | ||
Sr2 = Polygon(cbind(c(5,4,2,5),c(2,3,2,2))) | ||
Sr3 = Polygon(cbind(c(4,4,5,10,4),c(5,3,2,5,5))) | ||
Sr4 = Polygon(cbind(c(5,6,6,5,5),c(4,4,3,3,4)), hole = TRUE) | ||
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Srs1 = Polygons(list(Sr1), "s1") | ||
Srs2 = Polygons(list(Sr2), "s2") | ||
Srs3 = Polygons(list(Sr3, Sr4), "s3/4") | ||
stencil <- simplegeom(Srl = list(Srs1,Srs2,Srs3), proj4string = CRS("+proj=longlat +datum=WGS84")) | ||
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## --------------------------------------------------------- | ||
stencil <- webgeom() | ||
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## --------------------------------------------------------- | ||
stencil | ||
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## --------------------------------------------------------- | ||
geom(stencil) <- "derivative:CONUS_States" | ||
version(stencil) | ||
attribute(stencil) <- "STATE" | ||
values(stencil) <- c("Wisconsin","Maine") | ||
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## --------------------------------------------------------- | ||
stencil <- webgeom('state::Wisconsin') | ||
stencil | ||
query(stencil, 'values') | ||
webgeom('state::Wisconsin,Maine') | ||
webgeom('HUC8::09020306,14060009') | ||
webgeom('ecoregion::Colorado Plateaus,Driftless Area') | ||
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head(query(webgeom('ecoregion::Colorado Plateaus,Driftless Area'), 'values'), 10) | ||
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## --------------------------------------------------------- | ||
query(stencil, 'geoms') | ||
query(stencil, 'attributes') | ||
query(stencil, 'values') | ||
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## --------------------------------------------------------- | ||
fabric <- webdata() | ||
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## --------------------------------------------------------- | ||
fabric | ||
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## --------------------------------------------------------- | ||
times(fabric) | ||
url(fabric) <- 'http://cida.usgs.gov/thredds/dodsC/prism' | ||
variables(fabric) <- 'ppt' | ||
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times(fabric)[1] <- as.POSIXct('1990-01-01') | ||
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## --------------------------------------------------------- | ||
webdatasets = query('webdata') | ||
length(webdatasets) | ||
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## --------------------------------------------------------- | ||
webdatasets[61:65] | ||
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## --------------------------------------------------------- | ||
title(webdatasets[87]) | ||
abstract(webdatasets[87]) | ||
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## --------------------------------------------------------- | ||
fabric <- webdata(webdatasets[99]) | ||
evapotran <- webdata(webdatasets['Monthly Conterminous U.S. actual evapotranspiration data']) | ||
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## --------------------------------------------------------- | ||
times(fabric) <- c('1990-01-01','2005-01-01') | ||
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## ---- eval=FALSE------------------------------------------ | ||
# query(fabric, 'times') | ||
# query(fabric, 'variables') | ||
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## --------------------------------------------------------- | ||
fabric = webdata(url='dods://apdrc.soest.hawaii.edu/dods/public_data/satellite_product/AVHRR/avhrr_mon') | ||
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## ---- eval=FALSE------------------------------------------ | ||
# variables(fabric) <- 'sst' | ||
# query(fabric, 'times') | ||
# | ||
# times(fabric) <- c('1990-01-01','1999-12-31') | ||
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## ---- eval=FALSE------------------------------------------ | ||
# sst = result(geoknife(data.frame('caspian.sea'=c(51,40)), fabric, wait = TRUE)) | ||
# head(sst) | ||
# july.idx <- months(sst$DateTime) == 'July' | ||
# plot(sst$DateTime[july.idx], sst$caspian.sea[july.idx], type='l', lwd=2, col='dodgerblue', ylab='Sea Surface Temperature (degC)',xlab=NA) | ||
# | ||
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## --------------------------------------------------------- | ||
fabric = webdata('prism') | ||
variables(fabric) <- 'ppt' | ||
query(fabric, 'times') | ||
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## --------------------------------------------------------- | ||
query(fabric, 'variables') | ||
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## --------------------------------------------------------- | ||
variables(fabric) <- NA | ||
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## ----eval=FALSE------------------------------------------- | ||
# query(fabric, 'times') | ||
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## --------------------------------------------------------- | ||
knife <- webprocess() | ||
query(knife, 'algorithms') | ||
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## --------------------------------------------------------- | ||
url(knife) <- 'http://cida-test.er.usgs.gov/gdp/process/WebProcessingService' | ||
query(knife, 'algorithms') | ||
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## --------------------------------------------------------- | ||
knife <- webprocess() | ||
algorithm(knife) | ||
algorithm(knife) <- query(knife, 'algorithms')[1] | ||
algorithm(knife) | ||
# -- or -- | ||
algorithm(knife) <- list('Area Grid Statistics (weighted)' = | ||
"gov.usgs.cida.gdp.wps.algorithm.FeatureWeightedGridStatisticsAlgorithm") | ||
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## --------------------------------------------------------- | ||
url(knife) | ||
url(knife) <- 'http://cida-test.er.usgs.gov/gdp/process/WebProcessingService' | ||
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## --------------------------------------------------------- | ||
knife <- webprocess(wait = TRUE) | ||
knife | ||
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## --------------------------------------------------------- | ||
knife <- webprocess(email = '[email protected]') | ||
knife | ||
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## --------------------------------------------------------- | ||
job <- geoknife(stencil, fabric = 'prism', wait = FALSE) | ||
check(job) | ||
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## ---- eval=FALSE------------------------------------------ | ||
# running(job) | ||
# error(job) | ||
# successful(job) | ||
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## --------------------------------------------------------- | ||
id(job) | ||
job <- cancel(job) | ||
id(job) | ||
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## --------------------------------------------------------- | ||
cancel() | ||
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