Nothing
knitr::opts_chunk$set( collapse = TRUE, comment = "#>", warning = FALSE, fig.width = 7.1, fig.height = 6 )
Load packages and import HYPE model files.
# Load Packages library(HYPEtools) library(sf) library(leaflet) library(dplyr) # Get Path to HYPEtools Model Example Files model_path <- system.file("demo_model", package = "HYPEtools") # Import HYPE Model Files gd <- ReadGeoData(file.path(model_path, "GeoData.txt")) gcl <- ReadGeoClass(file.path(model_path, "GeoClass.txt")) stats.cout <- ReadSubass(file.path(model_path,"results","subass1.txt")) mcrun <- ReadMapOutput(file.path(model_path,"results","mapCRUN.txt"))
# Read GIS Files map.subid <- st_read(file.path(model_path, "gis","Nytorp_map.gpkg")) map.Qobs <- st_read(file.path(model_path,"gis", "Nytorp_station.gpkg")) %>% mutate(SUBID = 3587, .after = "long") # Add SUBID to gauge station attributes # Show the column names of imported GIS file names(map.Qobs) # Plot Model Subbasins plot(map.subid)
# Show the column names of imported subbasin performance file names(stats.cout) # Choose to plot NSE; Assign the selected statistics column number to stat.col.plot stat.col.plot <- 2 # For NSE stat.nm.plot <- "NSE" # Generate Plot - There is only one observation station, so only one point appears on the map PlotMapPoints(x = stats.cout[, c(1,stat.col.plot)], sites = map.Qobs, sites.subid.column = 3, bg = map.subid)
# Generate Plot - There is only one observation station, so only one point appears on the map # PlotMapPoints(map.type = "leaflet", # x = stats.cout[, c(1,stat.col.plot)], # sites = map.Qobs, sites.subid.column = 3, bg = map.subid, # legend.pos = "bottomright", # plot.scale = FALSE, plot.arrow = FALSE, plot.label=TRUE, bg.label.column = 25, plot.bg.label="static")
# Show the column names of imported GIS file names(map.subid) # Generate Plot PlotMapOutput(mcrun, map = map.subid, map.subid.column = 25, var.name = "CRUN", legend.title = "Runoff (mm/d)", col = ColQ, col.breaks = NULL, legend.pos = "right")
# Generate Plot # PlotMapOutput(mcrun, map.type = "leaflet", map = map.subid, map.subid.column = 25, var.name = "CRUN", legend.title = "Runoff (mm/d)", # col = ColQ, col.breaks = NULL, legend.pos = "bottomright", map.adj = 0, plot.scale = FALSE, plot.arrow = FALSE)
# Generate leaflet map with additional bling # leafmap <- PlotMapOutput(mcrun, map.type = "leaflet", map = map.subid, map.subid.column = 25, var.name = "CRUN", legend.title = "Runoff (mm/d)", # col = ColQ, col.breaks = NULL, legend.pos = "bottomright", map.adj = 0, plot.scale = TRUE, plot.arrow = FALSE, plot.label = TRUE, plot.searchbar = TRUE) # Add Additional Basemap and Marker for SMHI Location # leafmap <- leafmap %>% # # # Update Layers Control to include the new Basemap and SMHI Marker # addLayersControl( # baseGroups=c("Map","Street","Topo","Satellite","Stamen Toner"), # overlayGroups=c("Subbasins","SMHI"), # options=layersControlOptions(collapsed = FALSE, autoIndex = TRUE)) %>% # # # Add Basemap # addProviderTiles(provider = providers$Stamen.Toner, group = "Stamen Toner") %>% # # # Add Marker on Map for SMHI Location # addMarkers(group = "SMHI", # lng = 16.151890, # lat = 58.578950, # popup = "SMHI") # View Updated Map # leafmap
# Start App - Symbolize with points # VisualizeMapPoints( # results.dir = system.file("demo_model", "results", package = "HYPEtools"), # sites = system.file("demo_model", "gis", "Nytorp_centroids.gpkg", package = "HYPEtools"), # sites.subid.column = 25, # bg = system.file("demo_model", "gis", "Nytorp_map.gpkg", package = "HYPEtools") # )
# Start App - Symbolize with polygons # VisualizeMapOutput( # results.dir = system.file("demo_model", "results", package = "HYPEtools"), # map = system.file("demo_model", "gis", "Nytorp_map.gpkg", package = "HYPEtools"), # map.subid.column = 25 # )
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.