-
Notifications
You must be signed in to change notification settings - Fork 0
/
calc_model_agreement.R
249 lines (180 loc) · 8.91 KB
/
calc_model_agreement.R
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
#' @title Calculate model agreement on the sign of POC flux change
#' @author Stevie Walker
#' @date 10/18/22
#' @description calculates whether all models agree on the sign of variable change, creates raster of ones and zeros for where it does and does not agree. Also plots this agreement and calculates the percent of disagreement.
calc_model_agreement <- function(variable) {
if(variable == "all_DH") {
setwd("~/spatial_analysis/raster_output/model_agreement/")
POC <- list.files(pattern = "POC")
#list to store up/down rasters
list_rasters <- list()
for(i in 1:length(POC)) {
r <- raster(POC[i])
list_rasters[i] = r
}
all <- stack(list_rasters)
d <- calc(all, mean, na.rm = TRUE)
plot(d)
#save raster where 100% of models agree on the sign of variable change
match_7 = (d>=1)
match_7[match_7==TRUE] = 1
match_7[match_7==FALSE] = 0
plot(match_7)
#calculate percent of raster where models agree
p <- prop.table(table(as.vector(match_7)))["1"]*100
print(paste0("For all 5 depth horizons, models agree on the sign of change in ",p,"% of the ocean"))
writeRaster(match_7, paste0("~/spatial_analysis/raster_output/model_agreement/",variable,"_7_model_sign_match.asc"), overwrite = TRUE)
#comparison of each POC flux DH with 100m DH ------------
} else if(variable == "POC_100_EZ_depth" || variable == "POC_100_MLD_max" || variable == "POC_100_1000" || variable == "POC_100_PCD") {
name = str_split(variable, pattern = "100_")
setwd("~/spatial_analysis/raster_output/model_agreement/")
POC_var <- raster(list.files(pattern = paste0("POC_",name[[1:2]])))
POC_100 <- raster("POC_100_7_model_sign_match.asc")
all <- stack(POC_var,POC_100)
d <- calc(all, mean, na.rm = TRUE)
plot(d)
#save raster where 100% of models agree on the sign of variable change
match_7 = (d>=1)
match_7[match_7==TRUE] = 1
match_7[match_7==FALSE] = 0
plot(match_7)
#calculate where 100m and the other DH agree on the sign of change
p <- prop.table(table(as.vector(match_7)))["1"]*100
print(paste0("For 100m and ",name[[1:2]],", models agree on the sign of change in ",p,"% of the ocean"))
writeRaster(match_7, paste0("~/spatial_analysis/raster_output/model_agreement/",variable,"_7_model_sign_match.asc"), overwrite = TRUE)
} else if(variable == "POC_shallow_DHs") {
setwd("~/spatial_analysis/raster_output/model_agreement/")
POC_100 <- raster("POC_100_7_model_sign_match.asc")
POC_EZ <- raster("POC_EZ_depth_7_model_sign_match.asc")
POC_PCD <- raster("POC_PCD_7_model_sign_match.asc")
all <- stack(POC_EZ,POC_100, POC_PCD)
d <- calc(all, mean, na.rm = TRUE)
plot(d)
#save raster where 100% of models agree on the sign of variable change
match_7 = (d>=1)
match_7[match_7==TRUE] = 1
match_7[match_7==FALSE] = 0
plot(match_7)
#calculate where 100m and the other DH agree on the sign of change
p <- prop.table(table(as.vector(match_7)))["1"]*100
print(paste0("For shallow DH's models agree on the sign of change in ",p,"% of the ocean"))
writeRaster(match_7, paste0("~/spatial_analysis/raster_output/model_agreement/",variable,"_7_model_sign_match.asc"), overwrite = TRUE)
} else if(variable == "e_ratio") {
setwd(paste0("~/spatial_analysis/raster_output/",variable))
#list relevant rasters and take out multimodel raster
files <- list.files(pattern = "POC_100_e_ratio_change", full.names = TRUE)
files <- Filter(function(x) !any(grepl("multimodel", x)), files)
#list to store up/down rasters
list_up_down <- list()
#if value is positive, assign 1, if negative, assign -1 to the new raster
for(i in 1:length(files)) {
model <- raster(files[i])
b = (model>0)
b[b==TRUE] = 1
b[b==FALSE] = -1
list_up_down[i] = b
}
#average the 7 models
matrices <- stack(list_up_down)
d <- calc(matrices, mean, na.rm = TRUE)
plot(d)
percent_agreement = abs(d)
plot(percent_agreement)
#save raster where 100% of models agree on the sign of variable change
match_7 = (percent_agreement>=1)
match_7[match_7==TRUE] = 1
match_7[match_7==FALSE] = 0
plot(match_7)
#calculate percent of raster where models don't agree
p <- prop.table(table(as.vector(match_7)))["1"]*100
print(paste0("For variable ",variable," models agree on the sign of change in ",p,"% of the ocean"))
writeRaster(match_7, paste0("~/spatial_analysis/raster_output/model_agreement/",variable,"_7_model_sign_match.asc"), overwrite = TRUE)
} else if (variable == "TE") {
setwd(paste0("~/spatial_analysis/raster_output/",variable))
#list relevant rasters and take out multimodel raster
files <- list.files(pattern = "POC_100_TE_change_rg", full.names = TRUE)
files <- Filter(function(x) !any(grepl("multimodel", x)), files)
#list to store up/down rasters
list_up_down <- list()
#if value is positive, assign 1, if negative, assign -1 to the new raster
for(i in 1:length(files)) {
model <- raster(files[i])
b = (model>0)
b[b==TRUE] = 1
b[b==FALSE] = -1
list_up_down[i] = b
}
#average the 7 models
matrices <- stack(list_up_down)
d <- calc(matrices, mean, na.rm = TRUE)
plot(d)
percent_agreement = abs(d)
plot(percent_agreement)
#save raster where 100% of models agree on the sign of variable change
match_7 = (percent_agreement>=1)
match_7[match_7==TRUE] = 1
match_7[match_7==FALSE] = 0
plot(match_7)
#calculate percent of raster where models don't agree
p <- prop.table(table(as.vector(match_7)))["1"]*100
print(paste0("For variable ",variable," models agree on the sign of change in ",p,"% of the ocean"))
writeRaster(match_7, paste0("~/spatial_analysis/raster_output/model_agreement/",variable,"_7_model_sign_match.asc"), overwrite = TRUE)
} else {
setwd(paste0("~/spatial_analysis/raster_output/",variable))
#list relevant rasters and take out multimodel raster
files <- list.files(pattern = "change", full.names = TRUE)
files <- Filter(function(x) !any(grepl("multimodel", x)), files)
if(variable == "POC_EZ_depth" || variable == "EZ_depth") {
files <- Filter(function(x) !any(grepl("change_5", x)), files)
files <- Filter(function(x) !any(grepl("/CM4_POC_EZ_depth_change_rg", x)), files)
} else {}
#list to store up/down rasters
list_up_down <- list()
#if value is positive, assign 1, if negative, assign -1 to the new raster
for(i in 1:length(files)) {
model <- raster(files[i])
b = (model>0)
b[b==TRUE] = 1
b[b==FALSE] = -1
list_up_down[i] = b
}
#average the 7 models
matrices <- stack(list_up_down)
d <- calc(matrices, mean, na.rm = TRUE)
plot(d)
percent_agreement = abs(d)
plot(percent_agreement)
#save raster where 100% of models agree on the sign of variable change
match_7 = (percent_agreement>=1)
match_7[match_7==TRUE] = 1
match_7[match_7==FALSE] = 0
plot(match_7)
#calculate percent of raster where models don't agree
p <- prop.table(table(as.vector(match_7)))["1"]*100
print(paste0("For variable ",variable," models agree on the sign of change in ",p,"% of the ocean"))
writeRaster(match_7, paste0("~/spatial_analysis/raster_output/model_agreement/",variable,"_7_model_sign_match.asc"), overwrite = TRUE)
}
# plotting model agreement ------------
#convert raster to a 'conventional' dataframe
points <- rasterToPoints(match_7, spatial = TRUE)
df_sign <- data.frame(points)
df_sign = subset(df_sign, select = -c(4))
colnames(df_sign) = c("value", "x", "y")
#plot where all 7 models agree on the sign of POC flux change
fig_sign <- ggplot() +
geom_raster(data = df_sign , aes(x = x, y = y, fill = value)) +
geom_sf(data = world, fill = "snow") +
coord_sf(xlim = c(-179.5, 179.5), ylim = c(-89.5, 90.5), expand = FALSE) +
labs(title = paste0("Model agreement on the sign of ", variable, " change"),
subtitle = "Black regions = agreement") +
scale_fill_cmocean(limits = c(0,1), oob = squish, name = "deep", direction = 1) +
scale_y_continuous(breaks = seq(-80,80, by = 20)) +
scale_x_continuous(breaks = seq(-180,180, by = 30)) +
xlab("Longitude") +
ylab("Latitude") +
theme_bw() +
theme(panel.grid = element_blank(),
legend.position = "none")
fig_sign
ggsave(paste(variable,"_sign_of_change_agreement.png",sep=""), plot = fig_sign, path = "~/spatial_analysis/figures/model_agreement/", width = 26, height = 15, units = "cm", dpi = 400)
}