Analyze Spatial Patterns

# 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"))
#> Reading layer `Nytorp_map' from data source 
#>   `C:\Users\a002416\AppData\Local\Temp\RtmpsZPIep\Rinst12a08392b24\HYPEtools\demo_model\gis\Nytorp_map.gpkg' 
#>   using driver `GPKG'
#> Simple feature collection with 25 features and 38 fields
#> Geometry type: POLYGON
#> Dimension:     XY
#> Bounding box:  xmin: 518978 ymin: 6413496 xmax: 541065.4 ymax: 6444436
#> Projected CRS: SWEREF99 TM

map.Qobs <- st_read(file.path(model_path,"gis", "Nytorp_station.gpkg")) %>%
  mutate(SUBID = 3587, .after = "long") # Add SUBID to gauge station attributes
#> Reading layer `Nytorp_station' from data source 
#>   `C:\Users\a002416\AppData\Local\Temp\RtmpsZPIep\Rinst12a08392b24\HYPEtools\demo_model\gis\Nytorp_station.gpkg' 
#>   using driver `GPKG'
#> Simple feature collection with 1 feature and 2 fields
#> Geometry type: POINT
#> Dimension:     XY
#> Bounding box:  xmin: 538901.5 ymin: 6432544 xmax: 538901.5 ymax: 6432544
#> Projected CRS: SWEREF99 TM

# Show the column names of imported GIS file
names(map.Qobs)
#> [1] "lat"   "long"  "SUBID" "geom"

# Plot Model Subbasins
plot(map.subid)

# Show the column names of imported subbasin performance file
names(stats.cout)
#>  [1] "SUBID"   "NSE"     "CC"      "RE(%)"   "RSDE(%)" "Sim"     "Rec"    
#>  [8] "SDSim"   "SDRec"   "MAE"     "RMSE"    "Bias"    "SDE"     "KGE"    
#> [15] "KGESD"   "KGEM"    "NRMSE"   "NSEW"    "Nrec"

# 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)
#> Joining "SUBID" from GIS Data (sites) To "SUBID" from subass (x)

# 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)
#>  [1] "AROID"      "YTKOD"      "NAMN"       "VDRID"      "INOBJ"     
#>  [6] "UTOBJ"      "OMRID_NED"  "OMRTYP"     "HARO"       "DISTRICT"  
#> [11] "LANDSKOD"   "AREAL"      "AVM"        "HAVAVM"     "HORDNING"  
#> [16] "AAUEB"      "AA_ANT_ARO" "MEDHOJD"    "VERSION"    "Shape_Leng"
#> [21] "SUBID"      "aroid_old"  "Shape_Area" "omr_info"   "SUBID2016" 
#> [26] "RIVLEN"     "rotarea"    "rivlen_old" "rivlenold_" "SUBID201_1"
#> [31] "AREA"       "PARREG"     "int_andel_" "barrskg"    "lovskg"    
#> [36] "blandskg"   "skog_tot"   "REGION"     "geom"

# 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")
#> Joining "SUBID2016" from GIS Data (map) To "SUBID" from MapOutput (x)

# 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
# )