WIP/ERMES/Validation/2016/LB_Compare_Sow_w_field_250_it_2016.R
In lbusett/phenoriceR: Routines for analysis of PhenoRice outputs
library(plyr)
library(ggplot2)
library(reshape2)
library(tools)
library(rgdal)
library(raster)
library(data.table)
library(gdalUtils)
library(mapview)
it_shape_file_16 = "/media/projects/ermes/datasets/Field_data/2016/Italy/Static_info/IT_Field_data_static_2016_20161219.shp"
it_raster_file_16 = '/media/projects/ermes/datasets/rs_products/Phenology/IT/2016/v1.0/Outputs/2016/Phenorice_IT_2016.dat'
it_2km_tif_16 = '/media/projects/ermes/datasets/rs_products/Phenology/IT/2016/v1.0/Outputs/ERMES_Grid/TIFFS/2016/MinDoys/IT_Phenology_MinDoys_2016_203.tif'
it_shape_file_15 = '/media/projects/ermes/datasets/Field_data/2015/Italy/IT_Static_info/IT_Field_data_static_2015_20161222.shp'
it_raster_file_15 = '/media/projects/ermes/datasets/rs_products/Phenology/IT/2016/v1.0/Outputs/2015/Phenorice_IT_2015.dat'
it_2km_tif_15 = '/media/projects/ermes/datasets/rs_products/Phenology/IT/2016/v1.0/Outputs/ERMES_Grid/TIFFS/2015/MinDoys/IT_Phenology_MinDoys_2015.tif'
it_shape_file_14 = '/media/projects/ermes/datasets/Field_data/2014/Italy/IT Static info/IT_Field_data_static_2014_20161222.shp'
it_raster_file_14 = '/media/projects/ermes/datasets/rs_products/Phenology/IT/2016/v1.0/Outputs/2014/Phenorice_IT_2014.dat'
it_2km_tif_14 = '/media/projects/ermes/datasets/rs_products/Phenology/IT/2016/v1.0/Outputs/ERMES_Grid/TIFFS/2014/MinDoys/IT_Phenology_MinDoys_2014.tif'
it_grid_reduced = '/media/projects/ermes/datasets/rs_products/Phenology/Validation/2016/IT/Accessory/Grid_MODIS_250_reduced_red.shp'
out_folder_gen = "/media/projects/ermes/datasets/rs_products/Phenology/Validation/2016/"
dir.create(out_folder_gen, recursive = TRUE)
out_folder = file.path(out_folder_gen, "IT")
dir.create(out_folder, recursive = TRUE)
Accessory_folder = file.path(out_folder_gen, 'Accessory')
dir.create(Accessory_folder, recursive = TRUE)
#Inizio calcoli -----
#2014
name_shape_14_sinu = file.path(Accessory_folder, 'Static_info_2014_sinu.shp')
name_shape_14_sinu_water = file.path(Accessory_folder, 'Static_info_2014_sinu_water.shp')
name_shape_14_sinu_dry = file.path(Accessory_folder, 'Static_info_2014_sinu_dry.shp')
name_rast_14_sinu = file.path(Accessory_folder, 'Static_info_2014_sinu.tiff')
name_rast_14_sinu_water = file.path(Accessory_folder, 'Static_info_2014_sinu_water.tiff')
name_rast_14_sinu_dry = file.path(Accessory_folder,'Static_info_2014_sinu_dry.tiff')
out_folder = file.path(out_folder_gen, "IT")
it_grid_reduced = file.path(out_folder,'Accessory','Grid_MODIS_250_reduced.shp')
rast_grid = file.path(out_folder,'Accessory','Grid_MODIS_250_reduced.tif')
it_shape_14 = readOGR (dirname(it_shape_file_14), file_path_sans_ext(basename(it_shape_file_14)))
it_rast_14 = raster(it_raster_file_14, band = 2)
it_2km_14 = raster(it_2km_tif_14)
# it_grid_sp = readOGR(dirname(it_grid_reduced), file_path_sans_ext(basename(it_grid_reduced)))
raster::values(it_rast_14)[which(raster::values(it_rast_14) > 180)] = NA
raster::values(it_rast_14)[which(raster::values(it_rast_14) == 0)] = NA
it_grid_250 = readOGR(dsn = dirname(it_grid_reduced),layer = basename(file_path_sans_ext(it_grid_reduced)))
it_shape_14 = readOGR (dirname(it_shape_file_14), basename(file_path_sans_ext((it_shape_file_14))))
levels(it_shape_14@data$sowing_met) = c("Dry","Water","Unknown")
crop_rast_14 = crop(it_rast_14, extent(it_grid_250))
it_shape_14@data$sowing_met[which(is.na(it_shape_14@data$sowing_met))] = 'Unknown'
# it_shape_14@data$sowing_met[which(it_shape_14@data$sowing_met == 'Unknown' & it_shape_14@data$sowing_doy< 120)] = 'Dry'
# it_shape_14@data$sowing_met[which(it_shape_14@data$sowing_met == 'Unknown' & it_shape_14@data$sowing_doy >= 120)] = 'Water'
it_shape_14 = it_shape_14[!is.na(it_shape_14@data$crop_type == 'Rice'),]
it_shape_14 = it_shape_14[it_shape_14@data$crop_type == 'Rice' &
it_shape_14@data$sowing_met != 'Unknown' &
!is.na(it_shape_14@data$sowing_doy),]
shape_14_sinu = spTransform(it_shape_14,CRS(proj4string(crop_rast_14)))
shape_14_water = spTransform(it_shape_14[it_shape_14@data$sowing_met == 'Water' ,],CRS(proj4string(crop_rast_14)))
shape_14_dry = spTransform(it_shape_14[it_shape_14@data$sowing_met == 'Dry' ,],CRS(proj4string(crop_rast_14)))
writeOGR(shape_14_sinu, dsn = Accessory_folder,layer = basename(file_path_sans_ext(name_shape_14_sinu)), driver = 'ESRI Shapefile',overwrite_layer = T )
writeOGR(shape_14_water, dsn = Accessory_folder,layer = basename(file_path_sans_ext(name_shape_14_sinu_water)), driver = 'ESRI Shapefile',overwrite_layer = T )
writeOGR(shape_14_dry, dsn = Accessory_folder ,layer = basename(file_path_sans_ext(name_shape_14_sinu_dry)), driver = 'ESRI Shapefile',overwrite_layer = T )
raster_obs_14 = gdal_rasterize(name_shape_14_sinu, name_rast_14_sinu,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(15,15), tap = T, of = 'GTiff')
raster_obs_wat_14 = gdal_rasterize(name_shape_14_sinu_water, name_rast_14_sinu_water,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(15,15), tap = T, of = 'GTiff')
raster_obs_14_dry = gdal_rasterize(name_shape_14_sinu_dry , name_rast_14_sinu_dry,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(15,15), tap = T, of = 'GTiff')
NAvalue(raster_obs_14) = 0
NAvalue(raster_obs_wat_14) = 0
NAvalue(raster_obs_14_dry) = 0
pro_14 = ZonalPipe(it_grid_reduced,crop_rast_14,rast_grid,'pippo',
'id', stat="mean", cut =T)
prodry_14 = ZonalPipe(it_grid_reduced,raster_obs_14_dry,rast_grid, 'pippo',
'id', stat="mean", cut = F)
prodry_14_count = ZonalPipe(it_grid_reduced,raster_obs_14_dry,rast_grid, 'pippo',
'id', stat="countna", cut = F)
prowat_14 = ZonalPipe(it_grid_reduced,raster_obs_wat_14,rast_grid, 'pippo',
'id', stat="mean", cut = F)
prowatcount_14 = ZonalPipe(it_grid_reduced,raster_obs_wat_14,rast_grid, 'pippo',
'id', stat="countna", cut = F)
proall_14 = ZonalPipe(it_grid_reduced,raster_obs_14,rast_grid, 'pippo',
'id', stat="mean", cut = F)
proallcount_14 = ZonalPipe(it_grid_reduced,raster_obs_14,rast_grid, 'pippo',
'id', stat="countna", cut = F)
#2015
name_shape_15_sinu = file.path(Accessory_folder, 'Static_info_2015_sinu.shp')
name_shape_15_sinu_water = file.path(Accessory_folder, 'Static_info_2015_sinu_water.shp')
name_shape_15_sinu_dry = file.path(Accessory_folder, 'Static_info_2015_sinu_dry.shp')
name_rast_15_sinu = file.path(Accessory_folder, 'Static_info_2015_sinu.tiff')
name_rast_15_sinu_water = file.path(Accessory_folder, 'Static_info_2015_sinu_water.tiff')
name_rast_15_sinu_dry = file.path(Accessory_folder,'Static_info_2015_sinu_dry.tiff')
it_shape_15 = readOGR (dirname(it_shape_file_15), file_path_sans_ext(basename(it_shape_file_15)))
it_rast_15 = raster(it_raster_file_15, band = 2)
it_2km_15 = raster(it_2km_tif_15)
# it_grid_sp = readOGR(dirname(it_grid_reduced), file_path_sans_ext(basename(it_grid_reduced)))
raster::values(it_rast_15)[which(raster::values(it_rast_15) > 180)] =NA
raster::values(it_rast_15)[which(raster::values(it_rast_15) == 0)] =NA
it_shape_15 = readOGR (dirname(it_shape_file_15), basename(file_path_sans_ext((it_shape_file_15))))
levels(it_shape_15@data$sowing_met) = c("Dry","Water","Unknown")
crop_rast_15 = crop(it_rast_15, extent(it_grid_250))
it_shape_15@data$sowing_met[which(is.na(it_shape_15@data$sowing_met))] = 'Unknown'
# it_shape_15@data$sowing_met[which(it_shape_14@data$sowing_met == 'Unknown' & it_shape_14@data$sowing_doy< 120)] = 'Dry'
# it_shape_14@data$sowing_met[which(it_shape_14@data$sowing_met == 'Unknown' & it_shape_14@data$sowing_doy >= 120)] = 'Water'
it_shape_15 = it_shape_15[!is.na(it_shape_15@data$crop_type == 'Rice'),]
it_shape_15 = it_shape_15[it_shape_15@data$crop_type == 'Rice' &
it_shape_15@data$sowing_met != 'Unknown' &
!is.na(it_shape_15@data$sowing_doy),]
shape_15_sinu = spTransform(it_shape_15,CRS(proj4string(crop_rast_15)))
shape_15_water = spTransform(it_shape_15[it_shape_15@data$sowing_met == 'Water' ,],CRS(proj4string(crop_rast_15)))
shape_15_dry = spTransform(it_shape_15[it_shape_15@data$sowing_met == 'Dry' ,],CRS(proj4string(crop_rast_15)))
writeOGR(shape_15_sinu, dsn = Accessory_folder,layer = basename(file_path_sans_ext(name_shape_15_sinu)), driver = 'ESRI Shapefile',overwrite_layer = T )
writeOGR(shape_15_water, dsn = Accessory_folder,layer = basename(file_path_sans_ext(name_shape_15_sinu_water)), driver = 'ESRI Shapefile',overwrite_layer = T )
writeOGR(shape_15_dry, dsn = Accessory_folder ,layer = basename(file_path_sans_ext(name_shape_15_sinu_dry)), driver = 'ESRI Shapefile',overwrite_layer = T )
raster_obs_15 = gdal_rasterize(name_shape_15_sinu, name_rast_15_sinu,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(15,15), tap = T, of = 'GTiff')
raster_obs_wat_15 = gdal_rasterize(name_shape_15_sinu_water, name_rast_15_sinu_water,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(15,15), tap = T, of = 'GTiff')
raster_obs_15_dry = gdal_rasterize(name_shape_15_sinu_dry , name_rast_15_sinu_dry,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(15,15), tap = T, of = 'GTiff')
NAvalue(raster_obs_15) = 0
NAvalue(raster_obs_wat_15) = 0
NAvalue(raster_obs_15_dry) = 0
pro_15 = ZonalPipe(it_grid_reduced,crop_rast_15,rast_grid,'pippo',
'id', stat="mean", cut = T)
prodry_15 = ZonalPipe(it_grid_reduced,raster_obs_15_dry,rast_grid, 'pippo',
'id', stat="mean", cut = F)
prodry_15_count = ZonalPipe(it_grid_reduced,raster_obs_15_dry,rast_grid, 'pippo',
'id', stat="countna", cut = F)
prowat_15 = ZonalPipe(it_grid_reduced,raster_obs_wat_15,rast_grid, 'pippo',
'id', stat="mean", cut = F)
prowatcount_15 = ZonalPipe(it_grid_reduced,raster_obs_wat_15,rast_grid, 'pippo',
'id', stat="countna", cut = F)
proall_15 = ZonalPipe(it_grid_reduced,raster_obs_15,rast_grid, 'pippo',
'id', stat="mean", cut = F)
proallcount_15 = ZonalPipe(it_grid_reduced,raster_obs_15,rast_grid, 'pippo',
'id', stat="countna", cut = F)
#2016
name_shape_16_sinu = file.path(Accessory_folder, 'Static_info_2016_sinu.shp')
name_shape_16_sinu_water = file.path(Accessory_folder, 'Static_info_2016_sinu_water.shp')
name_shape_16_sinu_dry = file.path(Accessory_folder, 'Static_info_2016_sinu_dry.shp')
name_rast_16_sinu = file.path(Accessory_folder, 'Static_info_2016_sinu.tiff')
name_rast_16_sinu_water = file.path(Accessory_folder, 'Static_info_2016_sinu_water.tiff')
name_rast_16_sinu_dry = file.path(Accessory_folder,'Static_info_2016_sinu_dry.tiff')
it_shape_16 = readOGR (dirname(it_shape_file_16), file_path_sans_ext(basename(it_shape_file_16)))
it_rast_16 = raster(it_raster_file_16, band = 2)
it_2km_16 = raster(it_2km_tif_16)
# it_grid_sp = readOGR(dirname(it_grid_reduced), file_path_sans_ext(basename(it_grid_reduced)))
raster::values(it_rast_16)[which(raster::values(it_rast_16) > 180)] =NA
raster::values(it_rast_16)[which(raster::values(it_rast_16) == 0)] =NA
it_shape_16 = readOGR (dirname(it_shape_file_16), basename(file_path_sans_ext((it_shape_file_16))))
levels(it_shape_16@data$sowing_met) = c("Dry","Water","Unknown")
crop_rast_16 = crop(it_rast_16, extent(it_grid_250))
it_shape_16@data$sowing_met[which(is.na(it_shape_16@data$sowing_met))] = 'Unknown'
# it_shape_16@data$sowing_met[which(it_shape_14@data$sowing_met == 'Unknown' & it_shape_14@data$sowing_doy< 120)] = 'Dry'
# it_shape_14@data$sowing_met[which(it_shape_14@data$sowing_met == 'Unknown' & it_shape_14@data$sowing_doy >= 120)] = 'Water'
it_shape_16 = it_shape_16[!is.na(it_shape_16@data$crop_type == 'Rice'),]
it_shape_16 = it_shape_16[it_shape_16@data$crop_type == 'Rice' &
it_shape_16@data$sowing_met != 'Unknown' &
!is.na(it_shape_16@data$sowing_doy),]
shape_16_sinu = spTransform(it_shape_16,CRS(proj4string(crop_rast_16)))
shape_16_water = spTransform(it_shape_16[it_shape_16@data$sowing_met == 'Water' ,],CRS(proj4string(crop_rast_16)))
shape_16_dry = spTransform(it_shape_16[it_shape_16@data$sowing_met == 'Dry' ,],CRS(proj4string(crop_rast_16)))
writeOGR(shape_16_sinu, dsn = Accessory_folder,layer = basename(file_path_sans_ext(name_shape_16_sinu)), driver = 'ESRI Shapefile',overwrite_layer = T )
writeOGR(shape_16_water, dsn = Accessory_folder,layer = basename(file_path_sans_ext(name_shape_16_sinu_water)), driver = 'ESRI Shapefile',overwrite_layer = T )
writeOGR(shape_16_dry, dsn = Accessory_folder ,layer = basename(file_path_sans_ext(name_shape_16_sinu_dry)), driver = 'ESRI Shapefile',overwrite_layer = T )
raster_obs_16 = gdal_rasterize(name_shape_16_sinu, name_rast_16_sinu,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(16,16), tap = T, of = 'GTiff')
raster_obs_wat_16 = gdal_rasterize(name_shape_16_sinu_water, name_rast_16_sinu_water,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(16,16), tap = T, of = 'GTiff')
raster_obs_16_dry = gdal_rasterize(name_shape_16_sinu_dry , name_rast_16_sinu_dry,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(16,16), tap = T, of = 'GTiff')
NAvalue(raster_obs_16) = 0
NAvalue(raster_obs_wat_16) = 0
NAvalue(raster_obs_16_dry) = 0
pro_16 = ZonalPipe(it_grid_reduced,crop_rast_16,rast_grid,'pippo',
'id', stat="mean", cut = T)
prodry_16 = ZonalPipe(it_grid_reduced,raster_obs_16_dry,rast_grid, 'pippo',
'id', stat="mean", cut = F)
prodry_16_count = ZonalPipe(it_grid_reduced,raster_obs_16_dry,rast_grid, 'pippo',
'id', stat="countna", cut = F)
prowat_16 = ZonalPipe(it_grid_reduced,raster_obs_wat_16,rast_grid, 'pippo',
'id', stat="mean", cut = F)
prowatcount_16 = ZonalPipe(it_grid_reduced,raster_obs_wat_16,rast_grid, 'pippo',
'id', stat="countna", cut = F)
proall_16 = ZonalPipe(it_grid_reduced,raster_obs_16,rast_grid, 'pippo',
'id', stat="mean", cut = F)
proallcount_16 = ZonalPipe(it_grid_reduced,raster_obs_16,rast_grid, 'pippo',
'id', stat="countna", cut = F)
#Fine calcoli - inizio analisi e plotting ----
protot_14 = join(pro_14@data, proall_14@data, by = c('id','z'), type = 'left')
protot_14 = join(protot_14, prodry_14@data, by = c('id','z'), type = 'left')
protot_14 = join(protot_14, prowat_14@data, by = c('id','z'), type = 'left')
protot_14 = join(protot_14, proallcount_14@data, by = c('id','z'), type = 'left')
protot_14 = join(protot_14, prodry_14_count@data, by = c('id','z'), type = 'left')
protot_14 = join(protot_14, prowatcount_14@data, by = c('id','z'), type = 'left')
names(protot_14) = c('id' , 'z', 'Mod' , 'FieldTot', 'FieldDry', 'FieldWat','counttot','countdry','countwat')
protot_14_tot = droplevels(subset(protot_14, !is.nan(Mod) & counttot > 0))
# protot_14_dry = droplevels(subset(protot_14, !is.nan(Mod) & countdry > 125 ))
# protot_14_wat = droplevels(subset(protot_14, !is.nan(Mod) & countwat > 125))
# profull_14= rbind(protot_14_tot,protot_14_dry,protot_14_wat)
profull_14 = protot_14_tot
# profull_14$FieldDry [which(profull_14$countdry < 0.5*profull_14$countwat)] = NA
# profull_14$FieldWat [which(profull_14$countwat < 0.5*profull_14$countdry)] = NA
#protot_14 = droplevels(subset(protot_14, counttot > 50 ))
profull_14$difftot = profull_14$Mod - profull_14$FieldTot
profull_14$diffwat = profull_14$Mod - profull_14$FieldWat
profull_14$diffdry = profull_14$Mod - profull_14$FieldDry
protot_melt_14 = melt(profull_14, measure.vars = c('Mod' , 'FieldTot', 'FieldWat', 'FieldDry', 'difftot','diffwat','diffdry'))
stats_14 = ddply(protot_melt_14, .(variable) ,summarize, count = length(value),avg = mean(value, na.rm = T), stdev = sd(value, na.rm = T), mae = mean(abs(value),na.rm = T))
#2015
protot_15 = join(pro_15@data, proall_15@data, by = c('id','z'), type = 'left')
protot_15 = join(protot_15, prodry_15@data, by = c('id','z'), type = 'left')
protot_15 = join(protot_15, prowat_15@data, by = c('id','z'), type = 'left')
protot_15 = join(protot_15, proallcount_15@data, by = c('id','z'), type = 'left')
protot_15 = join(protot_15, prodry_15_count@data, by = c('id','z'), type = 'left')
protot_15 = join(protot_15, prowatcount_15@data, by = c('id','z'), type = 'left')
names(protot_15) = c('id' , 'z', 'Mod' , 'FieldTot', 'FieldDry', 'FieldWat','counttot','countdry','countwat')
protot_15_tot = droplevels(subset(protot_15, !is.nan(Mod) & counttot > 0 ))
# protot_15_dry = droplevels(subset(protot_15, !is.nan(Mod) & countdry > 125))
# protot_15_wat = droplevels(subset(protot_15, !is.nan(Mod) & countwat > 125 ))
# profull_15= rbind(protot_15_tot,protot_15_dry,protot_15_wat)
profull_15 = protot_15_tot
#protot_15 = droplevels(subset(protot_15, counttot > 50 ))
profull_15$difftot = profull_15$Mod - profull_15$FieldTot
profull_15$diffwat = profull_15$Mod - profull_15$FieldWat
profull_15$diffdry = profull_15$Mod - profull_15$FieldDry
protot_melt_15 = melt(profull_15, measure.vars = c('Mod' , 'FieldTot', 'FieldWat', 'FieldDry', 'difftot','diffwat','diffdry'))
stats_15 = ddply(protot_melt_15, .(variable) ,summarize, count = length(value),avg = mean(value, na.rm = T), stdev = sd(value, na.rm = T), mae = mean(abs(value),na.rm = T))
#2016
protot_16 = join(pro_16@data, proall_16@data, by = c('id','z'), type = 'left')
protot_16 = join(protot_16, prodry_16@data, by = c('id','z'), type = 'left')
protot_16 = join(protot_16, prowat_16@data, by = c('id','z'), type = 'left')
protot_16 = join(protot_16, proallcount_16@data, by = c('id','z'), type = 'left')
protot_16 = join(protot_16, prodry_16_count@data, by = c('id','z'), type = 'left')
protot_16 = join(protot_16, prowatcount_16@data, by = c('id','z'), type = 'left')
names(protot_16) = c('id' , 'z', 'Mod' , 'FieldTot', 'FieldDry', 'FieldWat','counttot','countdry','countwat')
protot_16_tot = droplevels(subset(protot_16, !is.nan(Mod) & counttot > 0 ))
# protot_16_dry = droplevels(subset(protot_16, !is.nan(Mod) & countdry > 125))
# protot_16_wat = droplevels(subset(protot_16, !is.nan(Mod) & countwat > 125 ))
# profull_16= rbind(protot_16_tot,protot_16_dry,protot_16_wat)
profull_16 = protot_16_tot
#protot_16 = droplevels(subset(protot_16, counttot > 50 ))
profull_16$difftot = profull_16$Mod - profull_16$FieldTot
profull_16$diffwat = profull_16$Mod - profull_16$FieldWat
profull_16$diffdry = profull_16$Mod - profull_16$FieldDry
protot_melt_16 = melt(profull_16, measure.vars = c('Mod' , 'FieldTot', 'FieldWat', 'FieldDry', 'difftot','diffwat','diffdry'))
stats_16 = ddply(protot_melt_16, .(variable) ,summarize, count = length(value),avg = mean(value, na.rm = T), stdev = sd(value, na.rm = T), mae = mean(abs(value),na.rm = T))
profull_14$Year =2014
profull_15$Year =2015
profull_16$Year =2016
profull_14_15_16 = rbind(profull_14,profull_15, profull_16)
protot_melt_14_15_16 = melt(profull_14_15_16, measure.vars = c('Mod' , 'FieldTot', 'FieldWat', 'FieldDry', 'difftot','diffwat','diffdry'))
it_250 = profull_14_15_16
it_250_melt = protot_melt_14_15_16
stats_14_15_16 = ddply(it_250_melt, .(variable,Year) ,summarize, count = length(value),avg = mean(value, na.rm = T), stdev = sd(value, na.rm = T), mae = mean(abs(value),na.rm = T))
save(it_250,it_250_melt, file = file.path(out_folder,'IT_val_250.RData'))
#END ----
#
# p = ggplot(droplevels(subset(protot_melt_14, variable !='difftot'& variable !='diffwat'& variable !='diffdry' & variable != 'FieldTot')), aes(x = value, color = variable ))
# # p =p+ stat_bin(binwidth = 8, aes(y=..count../sum(..count..)))+facet_grid(~variable)+theme_bw()
# # p = p+geom_histogram(binwidth = 8)+facet_grid(~variable)+theme_bw()
# p = p + geom_freqpoly(binwidth = 8) #+facet_grid(~variable)+theme_bw()
# #p = p+geom_boxplot(adjust = 1.4)+facet_grid(variable~sowing_met)+theme_bw()+geom_jitter()
# p = p+geom_density(alpha = 0.2, adjust = 1) #+facet_grid(~variable)+theme_bw()
#
# p
#
# p = ggplot(droplevels(subset(protot_melt_14_15_16, variable !='difftot'& variable !='diffwat'& variable !='diffdry')), aes(x = variable, y = value ))
# p = p + geom_violin()+theme_bw() +ylim(50,200)
# p
#
#
#
# p = ggplot(droplevels(subset(protot_melt_14_15_16, variable !='difftot'& variable !='diffwat'& variable !='diffdry')), aes(x = value, color = variable ))
# p =p+ stat_bin(binwidth = 8, aes(y=..count../sum(..count..)))+facet_grid(~variable)+theme_bw()
# p = p+geom_histogram(binwidth = 8)+facet_grid(~variable)+theme_bw()
# p = p + geom_freqpoly(binwidth = 16) #+facet_grid(~variable)+theme_bw()
# #p = p+geom_boxplot(adjust = 1.4)+facet_grid(variable~sowing_met)+theme_bw()+geom_jitter()
# p = p+geom_density(alpha = 0.2, adjust = 1.2) #+facet_grid(~variable)+theme_bw()
#
# p
#
# p = ggplot(droplevels(subset(protot_melt_14_15_16, variable !='difftot'& variable !='diffwat'& variable !='diffdry')), aes(x = variable, y = value ))
# p = p + geom_boxplot()+theme_bw() +ylim(50,200)
# p
#
#
# p = ggplot(droplevels(subset(protot_melt_14_15_16, variable !='difftot'& variable !='diffwat'& variable !='diffdry')), aes(x = variable, y = value ))
# p = p + geom_boxplot()+theme_bw() +ylim(50,200) + geom_jitter()
# p
#
# p = ggplot(droplevels(subset(protot_melt_14_15_16, variable !='difftot'& variable !='diffwat'& variable !='diffdry'& variable !='FieldTot')), aes(x = value, color = variable ))
# p =p+ stat_bin(binwidth = 8, aes(y=..count../sum(..count..)))+facet_grid(~variable)+theme_bw()
# p = p+geom_histogram(binwidth = 8)+facet_grid(~variable)+theme_bw()
# p = p + geom_freqpoly(binwidth = 8) #+facet_grid(~variable)+theme_bw()
# #p = p+geom_boxplot(adjust = 1.4)+facet_grid(variable~sowing_met)+theme_bw()+geom_jitter()
# p = p+geom_density(alpha = 0.2, adjust = 1.2) #+facet_grid(~variable)+theme_bw()
#
# p
#
lbusett/phenoriceR documentation built on May 18, 2019, 9:17 p.m.
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library(plyr)
library(ggplot2)
library(reshape2)
library(tools)
library(rgdal)
library(raster)
library(data.table)
library(gdalUtils)
library(mapview)
it_shape_file_16 = "/media/projects/ermes/datasets/Field_data/2016/Italy/Static_info/IT_Field_data_static_2016_20161219.shp"
it_raster_file_16 = '/media/projects/ermes/datasets/rs_products/Phenology/IT/2016/v1.0/Outputs/2016/Phenorice_IT_2016.dat'
it_2km_tif_16 = '/media/projects/ermes/datasets/rs_products/Phenology/IT/2016/v1.0/Outputs/ERMES_Grid/TIFFS/2016/MinDoys/IT_Phenology_MinDoys_2016_203.tif'
it_shape_file_15 = '/media/projects/ermes/datasets/Field_data/2015/Italy/IT_Static_info/IT_Field_data_static_2015_20161222.shp'
it_raster_file_15 = '/media/projects/ermes/datasets/rs_products/Phenology/IT/2016/v1.0/Outputs/2015/Phenorice_IT_2015.dat'
it_2km_tif_15 = '/media/projects/ermes/datasets/rs_products/Phenology/IT/2016/v1.0/Outputs/ERMES_Grid/TIFFS/2015/MinDoys/IT_Phenology_MinDoys_2015.tif'
it_shape_file_14 = '/media/projects/ermes/datasets/Field_data/2014/Italy/IT Static info/IT_Field_data_static_2014_20161222.shp'
it_raster_file_14 = '/media/projects/ermes/datasets/rs_products/Phenology/IT/2016/v1.0/Outputs/2014/Phenorice_IT_2014.dat'
it_2km_tif_14 = '/media/projects/ermes/datasets/rs_products/Phenology/IT/2016/v1.0/Outputs/ERMES_Grid/TIFFS/2014/MinDoys/IT_Phenology_MinDoys_2014.tif'
it_grid_reduced = '/media/projects/ermes/datasets/rs_products/Phenology/Validation/2016/IT/Accessory/Grid_MODIS_250_reduced_red.shp'
out_folder_gen = "/media/projects/ermes/datasets/rs_products/Phenology/Validation/2016/"
dir.create(out_folder_gen, recursive = TRUE)
out_folder = file.path(out_folder_gen, "IT")
dir.create(out_folder, recursive = TRUE)
Accessory_folder = file.path(out_folder_gen, 'Accessory')
dir.create(Accessory_folder, recursive = TRUE)
#Inizio calcoli -----
#2014
name_shape_14_sinu = file.path(Accessory_folder, 'Static_info_2014_sinu.shp')
name_shape_14_sinu_water = file.path(Accessory_folder, 'Static_info_2014_sinu_water.shp')
name_shape_14_sinu_dry = file.path(Accessory_folder, 'Static_info_2014_sinu_dry.shp')
name_rast_14_sinu = file.path(Accessory_folder, 'Static_info_2014_sinu.tiff')
name_rast_14_sinu_water = file.path(Accessory_folder, 'Static_info_2014_sinu_water.tiff')
name_rast_14_sinu_dry = file.path(Accessory_folder,'Static_info_2014_sinu_dry.tiff')
out_folder = file.path(out_folder_gen, "IT")
it_grid_reduced = file.path(out_folder,'Accessory','Grid_MODIS_250_reduced.shp')
rast_grid = file.path(out_folder,'Accessory','Grid_MODIS_250_reduced.tif')
it_shape_14 = readOGR (dirname(it_shape_file_14), file_path_sans_ext(basename(it_shape_file_14)))
it_rast_14 = raster(it_raster_file_14, band = 2)
it_2km_14 = raster(it_2km_tif_14)
# it_grid_sp = readOGR(dirname(it_grid_reduced), file_path_sans_ext(basename(it_grid_reduced)))
raster::values(it_rast_14)[which(raster::values(it_rast_14) > 180)] = NA
raster::values(it_rast_14)[which(raster::values(it_rast_14) == 0)] = NA
it_grid_250 = readOGR(dsn = dirname(it_grid_reduced),layer = basename(file_path_sans_ext(it_grid_reduced)))
it_shape_14 = readOGR (dirname(it_shape_file_14), basename(file_path_sans_ext((it_shape_file_14))))
levels(it_shape_14@data$sowing_met) = c("Dry","Water","Unknown")
crop_rast_14 = crop(it_rast_14, extent(it_grid_250))
it_shape_14@data$sowing_met[which(is.na(it_shape_14@data$sowing_met))] = 'Unknown'
# it_shape_14@data$sowing_met[which(it_shape_14@data$sowing_met == 'Unknown' & it_shape_14@data$sowing_doy< 120)] = 'Dry'
# it_shape_14@data$sowing_met[which(it_shape_14@data$sowing_met == 'Unknown' & it_shape_14@data$sowing_doy >= 120)] = 'Water'
it_shape_14 = it_shape_14[!is.na(it_shape_14@data$crop_type == 'Rice'),]
it_shape_14 = it_shape_14[it_shape_14@data$crop_type == 'Rice' &
it_shape_14@data$sowing_met != 'Unknown' &
!is.na(it_shape_14@data$sowing_doy),]
shape_14_sinu = spTransform(it_shape_14,CRS(proj4string(crop_rast_14)))
shape_14_water = spTransform(it_shape_14[it_shape_14@data$sowing_met == 'Water' ,],CRS(proj4string(crop_rast_14)))
shape_14_dry = spTransform(it_shape_14[it_shape_14@data$sowing_met == 'Dry' ,],CRS(proj4string(crop_rast_14)))
writeOGR(shape_14_sinu, dsn = Accessory_folder,layer = basename(file_path_sans_ext(name_shape_14_sinu)), driver = 'ESRI Shapefile',overwrite_layer = T )
writeOGR(shape_14_water, dsn = Accessory_folder,layer = basename(file_path_sans_ext(name_shape_14_sinu_water)), driver = 'ESRI Shapefile',overwrite_layer = T )
writeOGR(shape_14_dry, dsn = Accessory_folder ,layer = basename(file_path_sans_ext(name_shape_14_sinu_dry)), driver = 'ESRI Shapefile',overwrite_layer = T )
raster_obs_14 = gdal_rasterize(name_shape_14_sinu, name_rast_14_sinu,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(15,15), tap = T, of = 'GTiff')
raster_obs_wat_14 = gdal_rasterize(name_shape_14_sinu_water, name_rast_14_sinu_water,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(15,15), tap = T, of = 'GTiff')
raster_obs_14_dry = gdal_rasterize(name_shape_14_sinu_dry , name_rast_14_sinu_dry,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(15,15), tap = T, of = 'GTiff')
NAvalue(raster_obs_14) = 0
NAvalue(raster_obs_wat_14) = 0
NAvalue(raster_obs_14_dry) = 0
pro_14 = ZonalPipe(it_grid_reduced,crop_rast_14,rast_grid,'pippo',
'id', stat="mean", cut =T)
prodry_14 = ZonalPipe(it_grid_reduced,raster_obs_14_dry,rast_grid, 'pippo',
'id', stat="mean", cut = F)
prodry_14_count = ZonalPipe(it_grid_reduced,raster_obs_14_dry,rast_grid, 'pippo',
'id', stat="countna", cut = F)
prowat_14 = ZonalPipe(it_grid_reduced,raster_obs_wat_14,rast_grid, 'pippo',
'id', stat="mean", cut = F)
prowatcount_14 = ZonalPipe(it_grid_reduced,raster_obs_wat_14,rast_grid, 'pippo',
'id', stat="countna", cut = F)
proall_14 = ZonalPipe(it_grid_reduced,raster_obs_14,rast_grid, 'pippo',
'id', stat="mean", cut = F)
proallcount_14 = ZonalPipe(it_grid_reduced,raster_obs_14,rast_grid, 'pippo',
'id', stat="countna", cut = F)
#2015
name_shape_15_sinu = file.path(Accessory_folder, 'Static_info_2015_sinu.shp')
name_shape_15_sinu_water = file.path(Accessory_folder, 'Static_info_2015_sinu_water.shp')
name_shape_15_sinu_dry = file.path(Accessory_folder, 'Static_info_2015_sinu_dry.shp')
name_rast_15_sinu = file.path(Accessory_folder, 'Static_info_2015_sinu.tiff')
name_rast_15_sinu_water = file.path(Accessory_folder, 'Static_info_2015_sinu_water.tiff')
name_rast_15_sinu_dry = file.path(Accessory_folder,'Static_info_2015_sinu_dry.tiff')
it_shape_15 = readOGR (dirname(it_shape_file_15), file_path_sans_ext(basename(it_shape_file_15)))
it_rast_15 = raster(it_raster_file_15, band = 2)
it_2km_15 = raster(it_2km_tif_15)
# it_grid_sp = readOGR(dirname(it_grid_reduced), file_path_sans_ext(basename(it_grid_reduced)))
raster::values(it_rast_15)[which(raster::values(it_rast_15) > 180)] =NA
raster::values(it_rast_15)[which(raster::values(it_rast_15) == 0)] =NA
it_shape_15 = readOGR (dirname(it_shape_file_15), basename(file_path_sans_ext((it_shape_file_15))))
levels(it_shape_15@data$sowing_met) = c("Dry","Water","Unknown")
crop_rast_15 = crop(it_rast_15, extent(it_grid_250))
it_shape_15@data$sowing_met[which(is.na(it_shape_15@data$sowing_met))] = 'Unknown'
# it_shape_15@data$sowing_met[which(it_shape_14@data$sowing_met == 'Unknown' & it_shape_14@data$sowing_doy< 120)] = 'Dry'
# it_shape_14@data$sowing_met[which(it_shape_14@data$sowing_met == 'Unknown' & it_shape_14@data$sowing_doy >= 120)] = 'Water'
it_shape_15 = it_shape_15[!is.na(it_shape_15@data$crop_type == 'Rice'),]
it_shape_15 = it_shape_15[it_shape_15@data$crop_type == 'Rice' &
it_shape_15@data$sowing_met != 'Unknown' &
!is.na(it_shape_15@data$sowing_doy),]
shape_15_sinu = spTransform(it_shape_15,CRS(proj4string(crop_rast_15)))
shape_15_water = spTransform(it_shape_15[it_shape_15@data$sowing_met == 'Water' ,],CRS(proj4string(crop_rast_15)))
shape_15_dry = spTransform(it_shape_15[it_shape_15@data$sowing_met == 'Dry' ,],CRS(proj4string(crop_rast_15)))
writeOGR(shape_15_sinu, dsn = Accessory_folder,layer = basename(file_path_sans_ext(name_shape_15_sinu)), driver = 'ESRI Shapefile',overwrite_layer = T )
writeOGR(shape_15_water, dsn = Accessory_folder,layer = basename(file_path_sans_ext(name_shape_15_sinu_water)), driver = 'ESRI Shapefile',overwrite_layer = T )
writeOGR(shape_15_dry, dsn = Accessory_folder ,layer = basename(file_path_sans_ext(name_shape_15_sinu_dry)), driver = 'ESRI Shapefile',overwrite_layer = T )
raster_obs_15 = gdal_rasterize(name_shape_15_sinu, name_rast_15_sinu,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(15,15), tap = T, of = 'GTiff')
raster_obs_wat_15 = gdal_rasterize(name_shape_15_sinu_water, name_rast_15_sinu_water,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(15,15), tap = T, of = 'GTiff')
raster_obs_15_dry = gdal_rasterize(name_shape_15_sinu_dry , name_rast_15_sinu_dry,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(15,15), tap = T, of = 'GTiff')
NAvalue(raster_obs_15) = 0
NAvalue(raster_obs_wat_15) = 0
NAvalue(raster_obs_15_dry) = 0
pro_15 = ZonalPipe(it_grid_reduced,crop_rast_15,rast_grid,'pippo',
'id', stat="mean", cut = T)
prodry_15 = ZonalPipe(it_grid_reduced,raster_obs_15_dry,rast_grid, 'pippo',
'id', stat="mean", cut = F)
prodry_15_count = ZonalPipe(it_grid_reduced,raster_obs_15_dry,rast_grid, 'pippo',
'id', stat="countna", cut = F)
prowat_15 = ZonalPipe(it_grid_reduced,raster_obs_wat_15,rast_grid, 'pippo',
'id', stat="mean", cut = F)
prowatcount_15 = ZonalPipe(it_grid_reduced,raster_obs_wat_15,rast_grid, 'pippo',
'id', stat="countna", cut = F)
proall_15 = ZonalPipe(it_grid_reduced,raster_obs_15,rast_grid, 'pippo',
'id', stat="mean", cut = F)
proallcount_15 = ZonalPipe(it_grid_reduced,raster_obs_15,rast_grid, 'pippo',
'id', stat="countna", cut = F)
#2016
name_shape_16_sinu = file.path(Accessory_folder, 'Static_info_2016_sinu.shp')
name_shape_16_sinu_water = file.path(Accessory_folder, 'Static_info_2016_sinu_water.shp')
name_shape_16_sinu_dry = file.path(Accessory_folder, 'Static_info_2016_sinu_dry.shp')
name_rast_16_sinu = file.path(Accessory_folder, 'Static_info_2016_sinu.tiff')
name_rast_16_sinu_water = file.path(Accessory_folder, 'Static_info_2016_sinu_water.tiff')
name_rast_16_sinu_dry = file.path(Accessory_folder,'Static_info_2016_sinu_dry.tiff')
it_shape_16 = readOGR (dirname(it_shape_file_16), file_path_sans_ext(basename(it_shape_file_16)))
it_rast_16 = raster(it_raster_file_16, band = 2)
it_2km_16 = raster(it_2km_tif_16)
# it_grid_sp = readOGR(dirname(it_grid_reduced), file_path_sans_ext(basename(it_grid_reduced)))
raster::values(it_rast_16)[which(raster::values(it_rast_16) > 180)] =NA
raster::values(it_rast_16)[which(raster::values(it_rast_16) == 0)] =NA
it_shape_16 = readOGR (dirname(it_shape_file_16), basename(file_path_sans_ext((it_shape_file_16))))
levels(it_shape_16@data$sowing_met) = c("Dry","Water","Unknown")
crop_rast_16 = crop(it_rast_16, extent(it_grid_250))
it_shape_16@data$sowing_met[which(is.na(it_shape_16@data$sowing_met))] = 'Unknown'
# it_shape_16@data$sowing_met[which(it_shape_14@data$sowing_met == 'Unknown' & it_shape_14@data$sowing_doy< 120)] = 'Dry'
# it_shape_14@data$sowing_met[which(it_shape_14@data$sowing_met == 'Unknown' & it_shape_14@data$sowing_doy >= 120)] = 'Water'
it_shape_16 = it_shape_16[!is.na(it_shape_16@data$crop_type == 'Rice'),]
it_shape_16 = it_shape_16[it_shape_16@data$crop_type == 'Rice' &
it_shape_16@data$sowing_met != 'Unknown' &
!is.na(it_shape_16@data$sowing_doy),]
shape_16_sinu = spTransform(it_shape_16,CRS(proj4string(crop_rast_16)))
shape_16_water = spTransform(it_shape_16[it_shape_16@data$sowing_met == 'Water' ,],CRS(proj4string(crop_rast_16)))
shape_16_dry = spTransform(it_shape_16[it_shape_16@data$sowing_met == 'Dry' ,],CRS(proj4string(crop_rast_16)))
writeOGR(shape_16_sinu, dsn = Accessory_folder,layer = basename(file_path_sans_ext(name_shape_16_sinu)), driver = 'ESRI Shapefile',overwrite_layer = T )
writeOGR(shape_16_water, dsn = Accessory_folder,layer = basename(file_path_sans_ext(name_shape_16_sinu_water)), driver = 'ESRI Shapefile',overwrite_layer = T )
writeOGR(shape_16_dry, dsn = Accessory_folder ,layer = basename(file_path_sans_ext(name_shape_16_sinu_dry)), driver = 'ESRI Shapefile',overwrite_layer = T )
raster_obs_16 = gdal_rasterize(name_shape_16_sinu, name_rast_16_sinu,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(16,16), tap = T, of = 'GTiff')
raster_obs_wat_16 = gdal_rasterize(name_shape_16_sinu_water, name_rast_16_sinu_water,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(16,16), tap = T, of = 'GTiff')
raster_obs_16_dry = gdal_rasterize(name_shape_16_sinu_dry , name_rast_16_sinu_dry,a = "sowing_doy", output_Raster = T, ot = 'UInt32',tr = c(16,16), tap = T, of = 'GTiff')
NAvalue(raster_obs_16) = 0
NAvalue(raster_obs_wat_16) = 0
NAvalue(raster_obs_16_dry) = 0
pro_16 = ZonalPipe(it_grid_reduced,crop_rast_16,rast_grid,'pippo',
'id', stat="mean", cut = T)
prodry_16 = ZonalPipe(it_grid_reduced,raster_obs_16_dry,rast_grid, 'pippo',
'id', stat="mean", cut = F)
prodry_16_count = ZonalPipe(it_grid_reduced,raster_obs_16_dry,rast_grid, 'pippo',
'id', stat="countna", cut = F)
prowat_16 = ZonalPipe(it_grid_reduced,raster_obs_wat_16,rast_grid, 'pippo',
'id', stat="mean", cut = F)
prowatcount_16 = ZonalPipe(it_grid_reduced,raster_obs_wat_16,rast_grid, 'pippo',
'id', stat="countna", cut = F)
proall_16 = ZonalPipe(it_grid_reduced,raster_obs_16,rast_grid, 'pippo',
'id', stat="mean", cut = F)
proallcount_16 = ZonalPipe(it_grid_reduced,raster_obs_16,rast_grid, 'pippo',
'id', stat="countna", cut = F)
#Fine calcoli - inizio analisi e plotting ----
protot_14 = join(pro_14@data, proall_14@data, by = c('id','z'), type = 'left')
protot_14 = join(protot_14, prodry_14@data, by = c('id','z'), type = 'left')
protot_14 = join(protot_14, prowat_14@data, by = c('id','z'), type = 'left')
protot_14 = join(protot_14, proallcount_14@data, by = c('id','z'), type = 'left')
protot_14 = join(protot_14, prodry_14_count@data, by = c('id','z'), type = 'left')
protot_14 = join(protot_14, prowatcount_14@data, by = c('id','z'), type = 'left')
names(protot_14) = c('id' , 'z', 'Mod' , 'FieldTot', 'FieldDry', 'FieldWat','counttot','countdry','countwat')
protot_14_tot = droplevels(subset(protot_14, !is.nan(Mod) & counttot > 0))
# protot_14_dry = droplevels(subset(protot_14, !is.nan(Mod) & countdry > 125 ))
# protot_14_wat = droplevels(subset(protot_14, !is.nan(Mod) & countwat > 125))
# profull_14= rbind(protot_14_tot,protot_14_dry,protot_14_wat)
profull_14 = protot_14_tot
# profull_14$FieldDry [which(profull_14$countdry < 0.5*profull_14$countwat)] = NA
# profull_14$FieldWat [which(profull_14$countwat < 0.5*profull_14$countdry)] = NA
#protot_14 = droplevels(subset(protot_14, counttot > 50 ))
profull_14$difftot = profull_14$Mod - profull_14$FieldTot
profull_14$diffwat = profull_14$Mod - profull_14$FieldWat
profull_14$diffdry = profull_14$Mod - profull_14$FieldDry
protot_melt_14 = melt(profull_14, measure.vars = c('Mod' , 'FieldTot', 'FieldWat', 'FieldDry', 'difftot','diffwat','diffdry'))
stats_14 = ddply(protot_melt_14, .(variable) ,summarize, count = length(value),avg = mean(value, na.rm = T), stdev = sd(value, na.rm = T), mae = mean(abs(value),na.rm = T))
#2015
protot_15 = join(pro_15@data, proall_15@data, by = c('id','z'), type = 'left')
protot_15 = join(protot_15, prodry_15@data, by = c('id','z'), type = 'left')
protot_15 = join(protot_15, prowat_15@data, by = c('id','z'), type = 'left')
protot_15 = join(protot_15, proallcount_15@data, by = c('id','z'), type = 'left')
protot_15 = join(protot_15, prodry_15_count@data, by = c('id','z'), type = 'left')
protot_15 = join(protot_15, prowatcount_15@data, by = c('id','z'), type = 'left')
names(protot_15) = c('id' , 'z', 'Mod' , 'FieldTot', 'FieldDry', 'FieldWat','counttot','countdry','countwat')
protot_15_tot = droplevels(subset(protot_15, !is.nan(Mod) & counttot > 0 ))
# protot_15_dry = droplevels(subset(protot_15, !is.nan(Mod) & countdry > 125))
# protot_15_wat = droplevels(subset(protot_15, !is.nan(Mod) & countwat > 125 ))
# profull_15= rbind(protot_15_tot,protot_15_dry,protot_15_wat)
profull_15 = protot_15_tot
#protot_15 = droplevels(subset(protot_15, counttot > 50 ))
profull_15$difftot = profull_15$Mod - profull_15$FieldTot
profull_15$diffwat = profull_15$Mod - profull_15$FieldWat
profull_15$diffdry = profull_15$Mod - profull_15$FieldDry
protot_melt_15 = melt(profull_15, measure.vars = c('Mod' , 'FieldTot', 'FieldWat', 'FieldDry', 'difftot','diffwat','diffdry'))
stats_15 = ddply(protot_melt_15, .(variable) ,summarize, count = length(value),avg = mean(value, na.rm = T), stdev = sd(value, na.rm = T), mae = mean(abs(value),na.rm = T))
#2016
protot_16 = join(pro_16@data, proall_16@data, by = c('id','z'), type = 'left')
protot_16 = join(protot_16, prodry_16@data, by = c('id','z'), type = 'left')
protot_16 = join(protot_16, prowat_16@data, by = c('id','z'), type = 'left')
protot_16 = join(protot_16, proallcount_16@data, by = c('id','z'), type = 'left')
protot_16 = join(protot_16, prodry_16_count@data, by = c('id','z'), type = 'left')
protot_16 = join(protot_16, prowatcount_16@data, by = c('id','z'), type = 'left')
names(protot_16) = c('id' , 'z', 'Mod' , 'FieldTot', 'FieldDry', 'FieldWat','counttot','countdry','countwat')
protot_16_tot = droplevels(subset(protot_16, !is.nan(Mod) & counttot > 0 ))
# protot_16_dry = droplevels(subset(protot_16, !is.nan(Mod) & countdry > 125))
# protot_16_wat = droplevels(subset(protot_16, !is.nan(Mod) & countwat > 125 ))
# profull_16= rbind(protot_16_tot,protot_16_dry,protot_16_wat)
profull_16 = protot_16_tot
#protot_16 = droplevels(subset(protot_16, counttot > 50 ))
profull_16$difftot = profull_16$Mod - profull_16$FieldTot
profull_16$diffwat = profull_16$Mod - profull_16$FieldWat
profull_16$diffdry = profull_16$Mod - profull_16$FieldDry
protot_melt_16 = melt(profull_16, measure.vars = c('Mod' , 'FieldTot', 'FieldWat', 'FieldDry', 'difftot','diffwat','diffdry'))
stats_16 = ddply(protot_melt_16, .(variable) ,summarize, count = length(value),avg = mean(value, na.rm = T), stdev = sd(value, na.rm = T), mae = mean(abs(value),na.rm = T))
profull_14$Year =2014
profull_15$Year =2015
profull_16$Year =2016
profull_14_15_16 = rbind(profull_14,profull_15, profull_16)
protot_melt_14_15_16 = melt(profull_14_15_16, measure.vars = c('Mod' , 'FieldTot', 'FieldWat', 'FieldDry', 'difftot','diffwat','diffdry'))
it_250 = profull_14_15_16
it_250_melt = protot_melt_14_15_16
stats_14_15_16 = ddply(it_250_melt, .(variable,Year) ,summarize, count = length(value),avg = mean(value, na.rm = T), stdev = sd(value, na.rm = T), mae = mean(abs(value),na.rm = T))
save(it_250,it_250_melt, file = file.path(out_folder,'IT_val_250.RData'))
#END ----
#
# p = ggplot(droplevels(subset(protot_melt_14, variable !='difftot'& variable !='diffwat'& variable !='diffdry' & variable != 'FieldTot')), aes(x = value, color = variable ))
# # p =p+ stat_bin(binwidth = 8, aes(y=..count../sum(..count..)))+facet_grid(~variable)+theme_bw()
# # p = p+geom_histogram(binwidth = 8)+facet_grid(~variable)+theme_bw()
# p = p + geom_freqpoly(binwidth = 8) #+facet_grid(~variable)+theme_bw()
# #p = p+geom_boxplot(adjust = 1.4)+facet_grid(variable~sowing_met)+theme_bw()+geom_jitter()
# p = p+geom_density(alpha = 0.2, adjust = 1) #+facet_grid(~variable)+theme_bw()
#
# p
#
# p = ggplot(droplevels(subset(protot_melt_14_15_16, variable !='difftot'& variable !='diffwat'& variable !='diffdry')), aes(x = variable, y = value ))
# p = p + geom_violin()+theme_bw() +ylim(50,200)
# p
#
#
#
# p = ggplot(droplevels(subset(protot_melt_14_15_16, variable !='difftot'& variable !='diffwat'& variable !='diffdry')), aes(x = value, color = variable ))
# p =p+ stat_bin(binwidth = 8, aes(y=..count../sum(..count..)))+facet_grid(~variable)+theme_bw()
# p = p+geom_histogram(binwidth = 8)+facet_grid(~variable)+theme_bw()
# p = p + geom_freqpoly(binwidth = 16) #+facet_grid(~variable)+theme_bw()
# #p = p+geom_boxplot(adjust = 1.4)+facet_grid(variable~sowing_met)+theme_bw()+geom_jitter()
# p = p+geom_density(alpha = 0.2, adjust = 1.2) #+facet_grid(~variable)+theme_bw()
#
# p
#
# p = ggplot(droplevels(subset(protot_melt_14_15_16, variable !='difftot'& variable !='diffwat'& variable !='diffdry')), aes(x = variable, y = value ))
# p = p + geom_boxplot()+theme_bw() +ylim(50,200)
# p
#
#
# p = ggplot(droplevels(subset(protot_melt_14_15_16, variable !='difftot'& variable !='diffwat'& variable !='diffdry')), aes(x = variable, y = value ))
# p = p + geom_boxplot()+theme_bw() +ylim(50,200) + geom_jitter()
# p
#
# p = ggplot(droplevels(subset(protot_melt_14_15_16, variable !='difftot'& variable !='diffwat'& variable !='diffdry'& variable !='FieldTot')), aes(x = value, color = variable ))
# p =p+ stat_bin(binwidth = 8, aes(y=..count../sum(..count..)))+facet_grid(~variable)+theme_bw()
# p = p+geom_histogram(binwidth = 8)+facet_grid(~variable)+theme_bw()
# p = p + geom_freqpoly(binwidth = 8) #+facet_grid(~variable)+theme_bw()
# #p = p+geom_boxplot(adjust = 1.4)+facet_grid(variable~sowing_met)+theme_bw()+geom_jitter()
# p = p+geom_density(alpha = 0.2, adjust = 1.2) #+facet_grid(~variable)+theme_bw()
#
# p
#
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