plot_geotiff.R
In geoknife: Web-Processing of Large Gridded Datasets

## ----setup, include=FALSE---------------------------------
library(rmarkdown)
options(continue=" ")
options(width=60)
library(knitr)
library(geoknife)
knitr::opts_chunk$set(eval=FALSE)

## ---- warning=FALSE, message=FALSE------------------------
#  library(geoknife)

## ---- warning=FALSE, message=FALSE------------------------
#  knife <- webprocess(algorithm = list('OPeNDAP Subset' = "gov.usgs.cida.gdp.wps.algorithm.FeatureCoverageOPeNDAPIntersectionAlgorithm"))
#  
#  fabric <- webdata(url='https://cida.usgs.gov/thredds/dodsC/ssebopeta/monthly',
#                    variable="et", #Monthly evapotranspiration
#                    times=c('2014-07-15','2014-07-15'))
#  
#  stencil <- simplegeom(data.frame('point1' = c(-76,49), 'point2' = c(-93,40)))
#  job <- geoknife(stencil, fabric, knife, wait = TRUE, OUTPUT_TYPE = "geotiff")

## ---- warning=FALSE, message=FALSE------------------------
#  dest <- file.path(tempdir(), 'et_data.zip')
#  
#  file <- download(job, destination = dest, overwrite = TRUE)
#  
#  unzip(file, exdir=file.path(tempdir(),'et'))
#  
#  tiff.dir <- file.path(tempdir(),'et')

## ---- warning=FALSE, message=FALSE------------------------
#  library(rasterVis)
#  library(raster)
#  
#  et <- raster(file.path(tiff.dir , dir(tiff.dir)))
#  NAvalue(et) <- -1

## ---- warning=FALSE, message=FALSE------------------------
#  library(ggmap)
#  library(ggplot2)
#  
#  gplot(et, maxpixels = 5e5) +
#    geom_tile(aes(fill = value), alpha=1) +
#    scale_fill_gradientn("Actual ET (mm)", colours=rev(heat.colors(5))) +
#    coord_equal() +
#    theme_classic() +
#    theme(axis.line = element_blank(), axis.text.x = element_blank(), axis.text.y = element_blank(),
#          axis.ticks = element_blank(), axis.title.x = element_blank(), axis.title.y = element_blank()) +
#    scale_y_continuous(limits=c(et@extent@ymin, et@extent@ymax)) +
#    scale_x_continuous(limits=c(et@extent@xmin, et@extent@xmax))