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Impact démographique des collisions aviaires avec les éoliennes
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CEFE
Interactions Humains-Animaux
Impact démographique des collisions aviaires avec les éoliennes
Commits
8724025c
Commit
8724025c
authored
3 years ago
by
thierrychambert
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parent
657ab8aa
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inst/ShinyApp/report.Rmd
+12
-10
12 additions, 10 deletions
inst/ShinyApp/report.Rmd
inst/ShinyApp/server.R
+32
-5
32 additions, 5 deletions
inst/ShinyApp/server.R
with
44 additions
and
15 deletions
inst/ShinyApp/report.Rmd
+
12
−
10
View file @
8724025c
...
...
@@ -41,10 +41,10 @@ params:
CI: NA
QT: NA
risk_A: NA
impact_QT: NA
impact_QT
_table
: NA
---
### Date de création: `r strftime(Sys.Date(), "%d/%m/%Y")`
### Date de création: `r strftime(Sys.Date(), "%d/%m/%Y")`
### Type d'analyse realisée : `r paste(params$analysis)`
...
...
@@ -109,11 +109,13 @@ library(kableExtra)
```{r, echo=FALSE}
kable(params$impact_table, align = "ccc", booktabs=T)
```
Note : Intervalle de confiance (IC) à `r params$CI`%
## Valeur de l'impact au quantile de `r params$QT`%
`r paste0("Scénario ", 1:length(params$impact_QT), " : ", round(as.numeric(params$impact_QT),1), "%\n", collapse = "")`
Note : Intervalle de confiance (IC) à `r params$CI`%
## Valeur de l'impact au quantile de `r params$QT`%
(soit un risque de `r params$risk_A`% de sous-estimer l'impact)
```{r, echo=FALSE}
kbl(params$impact_QT_table, align = "c", booktabs=T)
```
## `r paste("Probabilité d'extinction à", params$time_horizon, "ans")`
```{r, echo=FALSE}
kbl(params$PrExt_table, align = "c", booktabs=T)
...
...
@@ -121,20 +123,20 @@ kbl(params$PrExt_table, align = "c", booktabs=T)
## Graphique : Densité de probabilité de l'impact relatif (
final
)
## Graphique
1
: Densité de probabilité de l'impact relatif (
à `r params$time_horizon` ans
)
```{r, echo=FALSE}
params$PDF_plot
```
Note : La médiane et l'intervalle de confiance (IC à `r params$CI`%) sont montrés sur le graphe.
## Graphique : Probabilité cumulée de l'impact relatif (
final
)
## Graphique
2
: Probabilité cumulée de l'impact relatif (
à `r params$time_horizon` ans
)
```{r, echo=FALSE}
params$ECDF_plot
```
Note : Quantile = `r params$QT`%,
soit un risque de
sous-estimation de l'impact de `r params$risk_A`%
soit un risque de
`r params$risk_A`% de sous-estimer l'impact
## Graphique : Impact relatif au cours du temps
## Graphique
3
: Impact relatif au cours du temps
```{r, echo=FALSE}
params$impact_plot
```
...
...
This diff is collapsed.
Click to expand it.
inst/ShinyApp/server.R
+
32
−
5
View file @
8724025c
...
...
@@ -1640,6 +1640,28 @@ server <- function(input, output, session){
)
}
## Function to make a table of the impacts at given quantile
table_impact_QT
<-
function
(
show_quantile
){
req
(
out
$
run
)
res
<-
get_metrics
(
N
=
out
$
run
$
N
,
cumulated_impacts
=
FALSE
)
n_scen
<-
(
dim
(
res
$
scenario
$
impact
)[
3
]
-1
)
RowNam
<-
NULL
if
(
out
$
analysis_choice
==
"single_farm"
)
RowNam
<-
c
(
"Parc 1"
)
if
(
out
$
analysis_choice
==
"cumulated"
)
RowNam
<-
c
(
"Parc 1"
,
paste
(
"... + Parc"
,
(
2
:
n_scen
)))
if
(
out
$
analysis_choice
==
"multi_scenario"
)
RowNam
<-
paste
(
"Scenario"
,
(
1
:
n_scen
))
dr_N
<-
get_metrics
(
N
=
out
$
run
$
N
,
cumulated_impacts
=
param
$
cumulated_impacts
)
$
scenario
$
DR_N
fil
<-
paste0
(
round
(
quantiles_impact
(
dr_N
,
show_quantile
=
1
-
(
input
$
risk_A
/
100
),
show_CI
=
NULL
,
percent
=
TRUE
)
$
QT
[
-1
]
,
1
),
"%"
)
matrix
(
fil
,
nrow
=
n_scen
,
dimnames
=
list
(
RowNam
,
c
(
"Impact au quantile"
))
)
}
## Function to print the Probability of Extinction
print_PrExt
<-
function
(){
req
(
out
$
run
)
...
...
@@ -1658,7 +1680,6 @@ server <- function(input, output, session){
)
}
## Function to plot the probability density of the impact
plot_out_PDF
<-
function
(
legend_position
,
text_size
,
show_scenario
,
show_CI
){
if
(
is.null
(
out
$
run
))
{}
else
{
...
...
@@ -1822,8 +1843,7 @@ server <- function(input, output, session){
output
$
quantile_impact_result
<-
renderText
({
dr_N
<-
get_metrics
(
N
=
out
$
run
$
N
,
cumulated_impacts
=
param
$
cumulated_impacts
)
$
scenario
$
DR_N
impact_QT
<-
quantiles_impact
(
dr_N
,
show_quantile
=
1
-
(
input
$
risk_A
/
100
),
show_CI
=
NULL
,
percent
=
TRUE
)
$
QT
[
-1
]
out
$
impact_QT
<-
impact_QT
paste0
(
"Scnario "
,
1
:
length
(
impact_QT
),
" : "
,
round
(
impact_QT
,
1
),
"%\n"
,
collapse
=
""
)
paste0
(
"Scnario "
,
1
:
length
(
impact_QT
),
" : "
,
round
(
impact_QT
,
1
),
"%"
,
collapse
=
"\n"
)
})
...
...
@@ -2027,7 +2047,7 @@ server <- function(input, output, session){
if
(
input
$
carrying_cap_input_type
==
"no_K"
){
out
$
carrying_cap_input_type
<-
NULL
out
$
carrying_cap_val1
<-
paste0
(
"Absence de capacit de charge"
)
out
$
carrying_cap_val2
<-
paste0
(
"Justifi ou pas ??"
)
out
$
carrying_cap_val2
<-
NULL
}
})
...
...
@@ -2043,6 +2063,7 @@ server <- function(input, output, session){
input
$
show_CI
input
$
risk_A
},
{
req
(
input
$
run
>
0
)
out
$
PDF_plot
<-
plot_out_PDF
(
legend_position
=
"bottom"
,
text_size
=
"small"
,
show_scenario
=
"all"
,
show_CI
=
input
$
show_CI
/
100
)
out
$
ECDF_plot
<-
plot_out_ECDF
(
legend_position
=
"bottom"
,
text_size
=
"small"
,
...
...
@@ -2053,6 +2074,12 @@ server <- function(input, output, session){
out
$
CI
<-
input
$
show_CI
out
$
QT
<-
100
-
(
input
$
risk_A
)
out
$
risk_A
<-
input
$
risk_A
#dr_N <- get_metrics(N = out$run$N, cumulated_impacts = param$cumulated_impacts)$scenario$DR_N
#out$impact_QT <- quantiles_impact(dr_N, show_quantile = 1-(input$risk_A/100), show_CI = NULL, percent = TRUE)$QT[-1]
out
$
impact_QT_table
<-
table_impact_QT
(
show_quantile
=
1
-
(
input
$
risk_A
/
100
))
print
(
out
$
impact_QT_table
)
})
...
...
@@ -2115,7 +2142,7 @@ server <- function(input, output, session){
CI
=
out
$
CI
,
QT
=
out
$
QT
,
risk_A
=
out
$
risk_A
,
impact_QT
=
out
$
impact_QT
impact_QT
_table
=
out
$
impact_QT
_table
)
...
...
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