Exploration
Pour le moment, j’ai appliquer acunes filtres (ni Protocole, ni
OS,…)
Database import
BBD V1.9 (=> landworm_V1.9)
- Import of database LandWorm_dataset_site_V1.9.xlsx
version V1.9 (february 22, 2024)
chemin_fichier_excel = "C:/Users/diall/Downloads/datas/LandWorm_dataset_site_V1.9.xlsx"
landworm_V1.9 <- read.xlsx(chemin_fichier_excel, sheet = "Sheet1")
landworm_V1.9 <- landworm_V1.9 %>% mutate(gps_x = as.numeric(gps_x),gps_y = as.numeric(gps_y))
- The database contains 8019 rows and
481 columns
BBD V2 (=> landworm)
- Import of database
LandWorm_dataset_site_01_07_2024.xlsx (01/07/2024)
chemin_fichier_excel = "C:/Users/diall/Downloads/datas/LandWorm_dataset_site_01_07_2024.xlsx"
landworm <- read.xlsx(chemin_fichier_excel, sheet = "Sheet1")
- The database contains 8143 rows and
479 columns
Variations
BBD V1.9 (=> landworm_V1.9)
summary(landworm_V1.9[,c("gps_x", "gps_y")])
## gps_x gps_y
## Min. :-5.050 Min. :41.44
## 1st Qu.:-0.318 1st Qu.:46.07
## Median : 2.154 Median :47.85
## Mean : 2.004 Mean :47.21
## 3rd Qu.: 4.346 3rd Qu.:48.75
## Max. : 9.521 Max. :50.98
## NA's :425 NA's :428
Dans BDD V1.9, GPS_X varie de \(-5.050\) Ã \(9.521\)
BBD V2 (=> landworm)
summary(landworm[,c("gps_x", "gps_y")])
## gps_x gps_y
## Min. :0.0001 Min. :41.44
## 1st Qu.:1.5924 1st Qu.:46.07
## Median :2.5116 Median :47.84
## Mean :2.9430 Mean :47.20
## 3rd Qu.:4.4110 3rd Qu.:48.74
## Max. :9.5213 Max. :50.98
## NA's :435 NA's :438
Dans BDD V2, GPS_X varie de \(0.0001\) Ã \(9.521\)
Visualisations
Pour GPS_Y
## Pour gps_y
plot(landworm_V1.9$gps_y, main = 'GPS_Y de V1.9 (en noir) vs GPS_Y de V2 (en bleu)')
points(landworm$gps_y, col = "blue")
On observe une bonne superposition des GPS_X dans les deux
BDD
Pour GPS_X
## Pour gps_x
plot(landworm_V1.9$gps_x, main = 'GPS_X de V1.9 (en noir) vs GPS_X de V2 (en bleu)')
points(landworm$gps_x, col = "blue")
lines(c(0,8000), c(0,0), col = 'red', lwd = 3)

On peut observer qu’en dessous de la ligne horizontale rouge,
il y a que des points noir (c’est à dire uniquement des points venant de
la BDD V1.9).
Carte des
observations
BBD V1.9 (=> landworm_V1.9)
df_coord <- landworm_V1.9[, c("gps_x", "gps_y")] %>% mutate(gps_x = as.numeric(gps_x),gps_y = as.numeric(gps_y))
df_coord$num_ligne <- seq(nrow(df_coord))
carte <- leaflet(df_coord) %>%
addTiles() %>%
addCircleMarkers(lng = ~gps_x, lat = ~gps_y, radius = 0.8, fillOpacity = 0.8, fillColor = "blue")
carte
BBD V2 (=> landworm)
df_coord <- landworm[, c("gps_x", "gps_y")] %>% mutate(gps_x = as.numeric(gps_x),gps_y = as.numeric(gps_y))
df_coord$num_ligne <- seq(nrow(df_coord))
carte <- leaflet(df_coord) %>%
addTiles() %>%
addCircleMarkers(lng = ~gps_x, lat = ~gps_y, radius = 0.8, fillOpacity = 0.8, fillColor = "blue")
carte
Date de
Prelevement
Après avoir effectué les filtres selon les OWNERS,
PROTOCOLES, OS,…:
Le programme Theix, annee 2011 n’a pas de
Date de Prelevement, est ce que c’est normal ?
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