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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
c9187bb1
Commit
c9187bb1
authored
3 years ago
by
thierrychambert
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Report : added all entries parameters
parent
888462b9
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3 changed files
inst/ShinyApp/report.Rmd
+53
-9
53 additions, 9 deletions
inst/ShinyApp/report.Rmd
inst/ShinyApp/server.R
+134
-15
134 additions, 15 deletions
inst/ShinyApp/server.R
inst/ShinyApp/ui.R
+1
-1
1 addition, 1 deletion
inst/ShinyApp/ui.R
with
188 additions
and
25 deletions
inst/ShinyApp/report.Rmd
+
53
−
9
View file @
c9187bb1
---
title: "Rapport
de l'
analyse
avec
eolpop"
title: "Rapport
:
analyse
démographique (
eolpop
)
"
output: pdf_document
params:
intro: NA
...
...
@@ -13,25 +13,69 @@ params:
fatalities_val1: NA
fatalities_val2: NA
pop_size_unit: NA
pop_size_input_type: NA
pop_size_val1: NA
pop_size_val2: NA
pop_growth_input_type: NA
pop_growth_val1: NA
pop_growth_val2: NA
carrying_cap_unit: NA
carrying_cap_input_type: NA
carrying_cap_val1: NA
carrying_cap_val2: NA
impact_plot: NA
trajectory_plot : NA
---
## Contexte de l'étude
`r paste(params$intro)`
## Type d'analyse realisée : `r paste(params$analysis)`
##
#
Type d'analyse realisée : `r paste(params$analysis)`
## Espèce choisie: `r paste(params$species)`
##
#
Espèce choisie: `r paste(params$species)`
-----------------------------------------------------------------------------
***
# Paramètres d'entrée utilisés
## Mortalités annuelles
### `r paste(params$fatalities_unit)`
### `r paste(params$fatalities_input_type)`
`r paste(params$fatalities_val1)`
`r paste(params$fatalities_val2)`
`r paste(params$fatalities_unit)`
`r paste(params$fatalities_input_type)`
**`r paste(params$fatalities_val1)` `r paste(params$fatalities_val2)`**
## Taille de la population
`r paste(params$pop_size_unit)`
`r paste(params$pop_size_input_type)`
**`r paste(params$pop_size_val1)` `r paste(params$pop_size_val2)`**
## Taux de croissance annuel
`r paste(params$pop_growth_input_type)`
**`r paste(params$pop_growth_val1)` `r paste(params$pop_growth_val2)`**
## Capacité de charge
`r paste(params$carrying_cap_unit)`
`r paste(params$carrying_cap_input_type)`
**`r paste(params$carrying_cap_val1)` `r paste(params$carrying_cap_val2)`**
***
-----------------------------------------------------------------------------
# Résultats
# Graphique : Impact relatif au cours du temps
```{r, echo=FALSE}
...
...
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inst/ShinyApp/server.R
+
134
−
15
View file @
c9187bb1
...
...
@@ -1730,23 +1730,143 @@ server <- function(input, output, session){
}
if
(
input
$
fatalities_input_type
==
"itvl"
){
out
$
fatalities_input_type
<-
"Saisie : intervalle
\n
"
out
$
fatalities_input_type
<-
"Saisie : intervalle"
out
$
fatalities_val1
<-
paste0
(
"Min : "
,
input
$
fatalities_lower
,
unit
,
" ; "
)
out
$
fatalities_val2
<-
paste0
(
"Max : "
,
input
$
fatalities_upper
,
unit
)
}
if
(
input
$
fatalities_input_type
==
"val"
){
out
$
fatalities_input_type
<-
"Saisie : estimation et erreur-type
\n
"
out
$
fatalities_input_type
<-
"Saisie : estimation et erreur-type"
out
$
fatalities_val1
<-
paste0
(
"Valeur estime : "
,
input
$
fatalities_mean
,
unit
,
" ; "
)
out
$
fatalities_val2
<-
paste0
(
"Erreur-type : "
,
input
$
fatalities_se
,
unit
)
}
if
(
input
$
fatalities_input_type
==
"eli_exp"
){
out
$
fatalities_input_type
<-
"Saisie : licitation d'experts
\n
"
out
$
fatalities_input_type
<-
"Saisie : licitation d'experts"
out
$
fatalities_val1
<-
paste0
(
"Moyenne estime : "
,
round
(
param
$
fatalities_eli_result
$
mean
,
2
),
unit
,
" ; "
)
out
$
fatalities_val2
<-
paste0
(
"Erreur_type : "
,
round
(
param
$
fatalities_eli_result
$
SE
,
2
),
unit
)
}
})
# Population Size
observeEvent
({
input
$
run
},
{
if
(
input
$
pop_size_unit
==
"Npair"
){
out
$
pop_size_unit
<-
paste0
(
"Unit : nombre de couples"
)
unit
<-
" couples"
}
if
(
input
$
pop_size_unit
==
"Ntotal"
){
out
$
pop_size_unit
<-
paste0
(
"Unit : effectif total"
)
unit
<-
" individus"
}
if
(
input
$
pop_size_input_type
==
"itvl"
){
out
$
pop_size_input_type
<-
"Saisie : intervalle"
out
$
pop_size_val1
<-
paste0
(
"Min : "
,
input
$
pop_size_lower
,
unit
,
" ; "
)
out
$
pop_size_val2
<-
paste0
(
"Max : "
,
input
$
pop_size_upper
,
unit
)
}
if
(
input
$
pop_size_input_type
==
"val"
){
out
$
pop_size_input_type
<-
"Saisie : estimation et erreur-type"
out
$
pop_size_val1
<-
paste0
(
"Valeur estime : "
,
input
$
pop_size_mean
,
unit
,
" ; "
)
out
$
pop_size_val2
<-
paste0
(
"Erreur-type : "
,
input
$
pop_size_se
,
unit
)
}
if
(
input
$
pop_size_input_type
==
"eli_exp"
){
out
$
pop_size_input_type
<-
"Saisie : licitation d'experts"
out
$
pop_size_val1
<-
paste0
(
"Moyenne estime : "
,
round
(
param
$
pop_size_eli_result
$
mean
,
2
),
unit
,
" ; "
)
out
$
pop_size_val2
<-
paste0
(
"Erreur_type : "
,
round
(
param
$
pop_size_eli_result
$
SE
,
2
),
unit
)
}
})
# Population Growth rate
observeEvent
({
input
$
run
},
{
unit
<-
"%"
if
(
input
$
pop_growth_input_type
==
"itvl"
){
out
$
pop_growth_input_type
<-
"Saisie : intervalle"
out
$
pop_growth_val1
<-
paste0
(
"Min : "
,
input
$
pop_growth_lower
,
unit
,
" ; "
)
out
$
pop_growth_val2
<-
paste0
(
"Max : "
,
input
$
pop_growth_upper
,
unit
)
}
if
(
input
$
pop_growth_input_type
==
"val"
){
out
$
pop_growth_input_type
<-
"Saisie : estimation et erreur-type"
out
$
pop_growth_val1
<-
paste0
(
"Valeur estime : "
,
input
$
pop_growth_mean
,
unit
,
" ; "
)
out
$
pop_growth_val2
<-
paste0
(
"Erreur-type : "
,
input
$
pop_growth_se
,
unit
)
}
if
(
input
$
pop_growth_input_type
==
"eli_exp"
){
out
$
pop_growth_input_type
<-
"Saisie : licitation d'experts"
out
$
pop_growth_val1
<-
paste0
(
"Moyenne estime : "
,
round
(
param
$
pop_growth_eli_result
$
mean
,
2
),
unit
,
" ; "
)
out
$
pop_growth_val2
<-
paste0
(
"Erreur_type : "
,
round
(
param
$
pop_growth_eli_result
$
SE
,
2
),
unit
)
}
## TREND
if
(
input
$
pop_growth_input_type
==
"trend"
){
out
$
pop_growth_input_type
<-
"Saisie : tendance"
if
(
input
$
pop_trend
==
"stable"
){
V1
<-
"Stable"
V2
<-
NULL
}
if
(
input
$
pop_trend
==
"growth"
){
V1
<-
"En croissance"
if
(
input
$
pop_trend_strength
==
"weak"
)
V2
<-
"faible"
if
(
input
$
pop_trend_strength
==
"average"
)
V2
<-
"modre"
if
(
input
$
pop_trend_strength
==
"strong"
)
V2
<-
"forte"
}
if
(
input
$
pop_trend
==
"decline"
){
V1
<-
"En dclin"
if
(
input
$
pop_trend_strength
==
"weak"
)
V2
<-
"faible"
if
(
input
$
pop_trend_strength
==
"average"
)
V2
<-
"modr"
if
(
input
$
pop_trend_strength
==
"strong"
)
V2
<-
"fort"
}
out
$
pop_growth_val1
<-
V1
out
$
pop_growth_val2
<-
V2
}
})
# Carrying capacity
observeEvent
({
input
$
run
},
{
if
(
input
$
pop_size_unit
==
"Npair"
){
out
$
carrying_cap_unit
<-
paste0
(
"Unit : nombre de couples"
)
unit
<-
" couples"
}
if
(
input
$
pop_size_unit
==
"Ntotal"
){
out
$
carrying_cap_unit
<-
paste0
(
"Unit : effectif total"
)
unit
<-
" individus"
}
if
(
input
$
carrying_cap_input_type
==
"itvl"
){
out
$
carrying_cap_input_type
<-
"Saisie : intervalle"
out
$
carrying_cap_val1
<-
paste0
(
"Min : "
,
input
$
carrying_capacity_lower
,
unit
,
" ; "
)
out
$
carrying_cap_val2
<-
paste0
(
"Max : "
,
input
$
carrying_capacity_upper
,
unit
)
}
if
(
input
$
carrying_cap_input_type
==
"val"
){
out
$
carrying_cap_input_type
<-
"Saisie : estimation et erreur-type"
out
$
carrying_cap_val1
<-
paste0
(
"Valeur estime : "
,
input
$
carrying_capacity_mean
,
unit
,
" ; "
)
out
$
carrying_cap_val2
<-
paste0
(
"Erreur-type : "
,
input
$
carrying_capacity_se
,
unit
)
}
if
(
input
$
carrying_cap_input_type
==
"eli_exp"
){
out
$
carrying_cap_input_type
<-
"Saisie : licitation d'experts"
out
$
carrying_cap_val1
<-
paste0
(
"Moyenne estime : "
,
round
(
param
$
carrying_cap_eli_result
$
mean
,
2
),
unit
,
" ; "
)
out
$
carrying_cap_val2
<-
paste0
(
"Erreur_type : "
,
round
(
param
$
carrying_cap_eli_result
$
SE
,
2
),
unit
)
}
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 ??"
)
}
})
#####
##-----------------------------------------------------------------------------------
## REPORT
...
...
@@ -1776,20 +1896,19 @@ server <- function(input, output, session){
fatalities_val1
=
out
$
fatalities_val1
,
fatalities_val2
=
out
$
fatalities_val2
,
#
pop_size_unit = out$pop_size_unit,
#
pop_size_input_type = out$pop_size_input_type,
#
pop_size_val1 = out$pop_size_val1,
#
pop_size_val2 = out$pop_size_val2,
pop_size_unit
=
out
$
pop_size_unit
,
pop_size_input_type
=
out
$
pop_size_input_type
,
pop_size_val1
=
out
$
pop_size_val1
,
pop_size_val2
=
out
$
pop_size_val2
,
#pop_growth_unit = out$pop_growth_unit,
#pop_growth_input_type = out$pop_growth_input_type,
#pop_growth_val1 = out$pop_growth_val1,
#pop_growth_val2 = out$pop_growth_val2,
pop_growth_input_type
=
out
$
pop_growth_input_type
,
pop_growth_val1
=
out
$
pop_growth_val1
,
pop_growth_val2
=
out
$
pop_growth_val2
,
#
carr_cap_unit = out$carr_cap_unit,
#
carr_cap_input_type = out$carr_cap_input_type,
#
carr_cap_val1 = out$carr_cap_val1,
#
carr_cap_val2 = out$carr_cap_val2,
carr
ying
_cap_unit
=
out
$
carr
ying
_cap_unit
,
carr
ying
_cap_input_type
=
out
$
carr
ying
_cap_input_type
,
carr
ying
_cap_val1
=
out
$
carr
ying
_cap_val1
,
carr
ying
_cap_val2
=
out
$
carr
ying
_cap_val2
,
impact_plot
=
out
$
impact_plot
,
trajectory_plot
=
out
$
trajectory_plot
...
...
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inst/ShinyApp/ui.R
+
1
−
1
View file @
c9187bb1
...
...
@@ -494,7 +494,7 @@ rm(list = ls(all.names = TRUE))
## Input values: mean and se
numericInput
(
inputId
=
"pop_growth_mean"
,
label
=
"Moyenne (taux d'accroissement en %)"
,
value
=
-
1
.5
,
value
=
-
7
.5
,
min
=
-100
,
max
=
Inf
,
step
=
1
),
numericInput
(
inputId
=
"pop_growth_se"
,
...
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