Nothing
## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(echo = TRUE)
library(RColorBrewer)
library(rnpn)
library(raster)
## ----eval=FALSE---------------------------------------------------------------
# npn_download_site_phenometrics(
# request_source = 'Your Name Here',
# years = '2013',
# num_days_quality_filter = '30',
# species_ids = '35',
# phenophase_ids = '373',
# download_path = 'cl_lilac_data_2013_SIxLeaf.csv',
# six_leaf_layer = TRUE,
# six_sub_model = 'lilac'
# )
## ----eval=FALSE---------------------------------------------------------------
# LilacLeaf2018<-npn_download_geospatial(
# 'si-x:lilac_leaf_ncep_historic',
# '2018-01-01',
# )
#
#
# LilacLeaf2018Obs <-npn_download_individual_phenometrics(
# request_source = 'Your Name Here',
# years = '2018',
# species_ids = '35',
# phenophase_ids = '373'
# )
#
#
## ----eval=FALSE---------------------------------------------------------------
#
# coords <- LilacLeaf2018Obs[ , c("longitude", "latitude")]
# data <- as.data.frame(LilacLeaf2018Obs$first_yes_doy)
#
# crs <- CRS("+proj=utm +zone=18 +datum=WGS84 +units=m +no_defs
# +ellps=WGS84 +towgs84=0,0,0")
#
# LL_spdf <- SpatialPointsDataFrame(
# coords = coords,
# data = data,
# proj4string = crs
# )
#
## ----eval=FALSE---------------------------------------------------------------
#
# my.palette <- brewer.pal(n=9,name="OrRd")
#
# plot(
# LilacLeaf2018,
# col = my.palette,
# main="2018 Observed and Predicted Lilac Leaf Out"
# )
#
# plot(
# LL_spdf,
# main="Lilac Obs",
# pch = 21,
# bg = my.palette,
# col = 'black',
# xlim=c(-125.0208,-66.47917),
# ylim=c(24.0625 ,49.9375),
# add = TRUE
# )
#
# legend(
# "bottomright",
# legend=c("Cloned Lilac Leaf Out Observations"),
# pch = 21,
# bg = 'white',
# col = 'black',
# bty="n",
# cex=.8
# )
#
## ---- echo=FALSE, out.width = "50%", fig.pos="h"------------------------------
knitr::include_graphics("figures/7-plot.png")
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