Description Usage Arguments Details Author(s) Examples
View source: R/SummaryFigures_Height_WithAttributes.R
Returns a static or interactive (plotly-friendly) ggplot boxplot summarizing species heights across your ecological site(s) based on summary variables (Growth habit, individual species, or sagebrush), colored by attributed. Hard-coded for BLM grazing allotment naming convention. Will update to generalize for spatial attributes.
1 | SummaryFigures_Height(Species_plots_ecosite, EcologicalSiteId, SummaryVar, GroupBy, Interactive, Attributed_Pks)
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Species_plots_ecosite |
Combined AIM and LMF species indicator, subset to your ecological site(s). Returned output from Combine_AIM_LMF_Species and SubsetEcologicalSite_Species. |
EcologicalSiteId |
Full ecological site id, list of ecological sites, or object |
SummaryVar |
"Height"" |
GroupBy |
c("Species", "GrowthHabit", "Sagebrush") |
Interactive |
logical. If TRUE, boxplot aesthetics will be set up for interactive plotly::ggplotly object. If FALSE, will return static box plot. |
Attributed_Pks |
simplified dataframe with PrimaryKeys associated with each shapefile attribute |
If GroupBy == "Species", returns a list of plots that must be called on- boxplots are broken up by GrowthHabitSub, with individual species within each group as faceting row. Y values are height in cm. See example for how to call on plot. If GroupBy == "GrowthHabit", returns a boxplot. X values are growth habit, Y values are height in cm. If GroupBy == "Sagebrush", returns a boxplot. X values are sagebrush species, Y values are height in cm.
Rachel Burke, ecologist/analyst @ Jornada
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 | # If SummaryVar == "Height", GroupBy == "GrowthHabit", Interactive == TRUE:
plotly::ggplotly(SummaryFigures_Height(Species_plots_ecosite,
EcologicalSiteId, SummaryVar = "Height",
GroupBy = "GrowthHabit", Interactive = TRUE),
tooltip = "text")
# If SummaryVar == "Height", GroupBy == "GrowthHabit", Interactive == FALSE:
SummaryFigures_Height(Species_plots_ecosite, EcologicalSiteId,
SummaryVar = "Height", GroupBy = "GrowthHabit",
Interactive = FALSE)
# If SummaryVar == "Height", GroupBy == "Species", Interactive == TRUE:
Plots <- SummaryFigures_Height(Species_plots_ecosite,
EcologicalSiteId,
SummaryVar = "Height",
GroupBy = "Species",
Interactive = TRUE,
Attributed_Pks = Attributed_Pks)
plotly::ggplotly((Plots[["Graminoid.Annual"]]), tooltip = "text")
# If SummaryVar == "Height", GroupBy == "Species", Interactive == FALSE:
Plots <- SummaryFigures_Height(Species_plots_ecosite,
EcologicalSiteId,
SummaryVar = "Height",
GroupBy = "Species",
Interactive = FALSE,
Attributed_Pks = Attributed_Pks)
Plots[["Graminoid.Annual"]]
## The function is currently defined as
function(Species_plots_ecosite, EcologicalSiteId,
SummaryVar, GroupBy, Interactive, Attributed_Pks){
SpeciesList <- SpeciesList
Family, SpeciesState,
SynonymOf, UpdatedSpeciesCode)
dplyr::mutate(link = paste("https://plants.sc.egov.usda.gov/core/profile?symbol=", Species, sep = ""))
#Merge with species list so we can hover for scientific name
Species_plots_ecosite_attributed <- merge(Species_plots_ecosite, Attributed_Pks, by = "PrimaryKey", all = TRUE)
unique()
EcoSitePlots_Attributed <- merge(EcoSitePlots, Attributed_Pks, by = "PrimaryKey", all = TRUE)
#Unhardcode last 3 columns in selection
Species_plots_ecosite_attributed <- merge(Species_plots_ecosite_attributed , SpeciesList , by = c("Species" , "SpeciesState"))
dplyr::select(Species, ScientificName, CommonName, PrimaryKey,
PlotID, AH_SpeciesCover,
AH_SpeciesCover_n, Hgt_Species_Avg,
Hgt_Species_Avg_n, GrowthHabit, GrowthHabitSub, Duration,
Noxious, SG_Group, link,
ALLOT_NAME, ALLOT_NO, PAST_NAME)
dplyr::mutate_if(is.numeric, round , digits = 2)
##Setting color palette for plot
NoxNonPal_Fill <- c("grey75" , "#D55E00")
NoxNonPal_Dot <- c("grey33" , "#993300")
## FIgure out how to not hardcode ALLOT_NAME and instead use attribute_title
Attribute_Fill <- scales::seq_gradient_pal("#009966", "#E69F00", "Lab")(seq(0,1, length.out = length(unique(Species_plots_ecosite_attributed$PAST_NAME))))
# Prep for height
HgtPrep <- Species_plots_ecosite_attributed
filter(!is.na(GrowthHabitSub))
if(SummaryVar == "Height" & GroupBy == "Species"){
#Prep
#Summarizing by species across an EcologicalSiteId
if(Interactive){
#Species
Plots <- lapply(X = split(HgtPrep, list(HgtPrep$GrowthHabitSub , HgtPrep$Duration) ,
drop = TRUE),
FUN = function(HgtPrep){
current_plot <- ggplot(HgtPrep ,
aes(x = Species ,
y = Hgt_Species_Avg,
text = paste("Plot Id: " , PlotID ,
"PrimaryKey: " , PrimaryKey ,
"Species: " , Species ,
"Average Height (cm): " , Hgt_Species_Avg ,
"Average Height, n: " , Hgt_Species_Avg_n ,
"Allotment: ", ALLOT_NAME,
"Pasture: ", PAST_NAME,
sep = "<br>"))) +
geom_boxplot(width = .6 , outlier.shape = NA) +
geom_jitter(width = .15 , shape = 21) +
# scale_y_continuous(limits = c(0 , 100)) +
theme_light() +
coord_flip() +
theme(axis.text.y = element_blank() , axis.ticks.y = element_blank() ,
axis.line.y = element_blank(), axis.title.x = element_blank()) +
facet_grid(rows = vars(Species) ,
switch = "y" ,
scales = "free_y" , drop = TRUE)
return(current_plot)
})
}
if(!Interactive){
Plots <- lapply(X = split(HgtPrep, list(HgtPrep$GrowthHabitSub , HgtPrep$Duration) ,
drop = TRUE),
FUN = function(HgtPrep){
current_plot <- ggplot(HgtPrep , aes(x = Species , y = Hgt_Species_Avg)) +
geom_boxplot(width = .6 , outlier.shape = NA) +
geom_jitter(width = .15 , size = 2 , aes(color = PAST_NAME, shape = Noxious)) +
scale_color_manual(values = Attribute_Fill, na.value="#000000") +
# scale_y_continuous(limits = c(0 , 100)) +
theme_light() +
labs(x = "Species" , y = "Average Height, cm",
caption = paste("Species height in: ", toString(EcologicalSiteId), sep = "")) +
theme(axis.text.y = element_blank() ,
axis.ticks.y = element_blank() ,
axis.line.y = element_blank()) +
coord_flip() +
facet_grid(rows = vars(Species) ,
switch = "y" ,
scales = "free_y" , drop = TRUE)
return(current_plot)
})
}
}
if(SummaryVar == "Height" & GroupBy == "GrowthHabit"){
if(Interactive){
Plots <- ggplot(HgtPrep, aes(x = GrowthHabit , y = Hgt_Species_Avg ,
text = paste("Plot Id: " , PlotID ,
"PrimaryKey: " , PrimaryKey ,
"Species: " , Species ,
"Average Height (cm): " , Hgt_Species_Avg ,
"Average Height , n: " , Hgt_Species_Avg_n ,
"Allotment: ", ALLOT_NAME,
'Pasture: ', PAST_NAME,
sep = "<br>"))) +
geom_boxplot() +
geom_jitter(width = .1 , shape = 21) +
theme_light() +
theme(axis.ticks.y = element_blank() ,
axis.line.y = element_blank(),
axis.title.y = element_blank() ,
axis.title.x = element_blank() ,
axis.text.y = element_blank()) +
coord_flip() +
facet_grid(rows = vars(GrowthHabitSub) ,
switch = "y" ,
scales = "free_y" , drop = TRUE)
}
if(!Interactive){
Plots <- ggplot(HgtPrep, aes(x = GrowthHabit , y = Hgt_Species_Avg)) +
geom_boxplot() +
geom_jitter(width = .2 ,
(aes(color = PAST_NAME, shape = Noxious))) +
labs(x = "Growth Habit" ,
y = "Average Height, cm",
caption = paste("Species height in: ",
toString(EcologicalSiteId), sep = "")) +
theme_light() +
scale_color_manual(values = Attribute_Fill, na.value="#000000") +
theme(axis.text.y = element_blank() ,
axis.ticks.y = element_blank() ,
axis.line.y = element_blank()) +
coord_flip() +
facet_grid(rows = vars(GrowthHabitSub) ,
switch = "y" ,
scales = "free_y" , drop = TRUE)
}
}
if(SummaryVar == "Height" & GroupBy == "Sagebrush"){
Sagebrush <- HgtPrep
if(nrow(Sagebrush) < 1){Plots <- NULL}
else{
if(Interactive){
Plots <- ggplot(Sagebrush, aes(x = Species , y = Hgt_Species_Avg ,
text = paste("Plot Id: " , PlotID ,
"PrimaryKey: " , PrimaryKey ,
"Species: " , Species ,
"Average Height (cm): " , Hgt_Species_Avg ,
"Average Height , n: " , Hgt_Species_Avg_n ,
"Allotment: ", ALLOT_NAME,
"Pasture: ", PAST_NAME,
sep = "<br>"))) +
geom_boxplot() +
geom_jitter(width = .1 , shape = 21) +
theme_light() +
theme(axis.ticks.y = element_blank() ,
axis.line.y = element_blank(), axis.title.y = element_blank() ,
axis.title.x = element_blank(), axis.text.y = element_blank()) +
facet_grid(rows = vars(Species), scales = "free_y", drop = TRUE) +
coord_flip()
}
if(!Interactive){
Plots <- ggplot(Sagebrush, aes(x = Species , y = Hgt_Species_Avg)) +
geom_boxplot() +
geom_jitter(width = .1 , aes(color = PAST_NAME, shape = Noxious)) + theme_light() +
theme(axis.ticks.y = element_blank() ,
axis.line.y = element_blank()) +
scale_color_manual(values = Attribute_Fill, na.value="#000000") +
labs(x = "Species" ,
y = "Average Height, cm",
caption = paste("Species height in: ",
toString(EcologicalSiteId), sep = "")) +
coord_flip()
}
}
}
return(Plots)
}
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