## ----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")