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Converting line vector layer to raster with pixellate.psp creating missing data?



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The following example converts a line vector layer (road network) into a density raster. It seems to be working for others', but it looks like it's creating data gaps at my resolution (50m).



library(spatstat)
library(raster)
library(rgdal)
library(magrittr)

# Set common CRS
crs <- "+proj=utm +zone=10 +ellps=GRS80 +datum=NAD83 +units=m +no_defs "

# Read in our vector & raster data
rast <- readRDS(gzcon(url('http://web.pdx.edu/~porlando/study_area.RDS'))) %>%
spTransform(CRSobj = crs) %>% raster(res = 50, crs = crs)
vect <- readRDS(gzcon(url('http://web.pdx.edu/~porlando/fwy.RDS'))) %>%
spTransform(CRSobj = crs) %>% crop(rast)

# Use spatstat to create density raster
roadsPSP <- as.psp(as(vect, "SpatialLines"))
roadLengthIM <- pixellate.psp(roadsPSP, eps = 50) # meters
roadLengthRaster <- raster(roadLengthIM, crs = projection(vect))

# The resolution isn't exactly 50m x 50m so I resample again
roadLengthRaster50m <- resample(roadLengthRaster, rast)

# Recode values to exaggerate presence/absence
values(roadLengthRaster50m)[values(roadLengthRaster50m)<=0] <- NA
values(roadLengthRaster50m)[values(roadLengthRaster50m)>0] <- 100

# Plot raster layer on top of vector layer
plot(vect, col="black")
plot(roadLengthRaster50m, add = T)


enter image description here



There are many areas where the black vector layer is poking through the rasterized version. At this point, I'm not sure whether it's a visualization issue, or a limitation of this approach entirely!









share



























    0















    The following example converts a line vector layer (road network) into a density raster. It seems to be working for others', but it looks like it's creating data gaps at my resolution (50m).



    library(spatstat)
    library(raster)
    library(rgdal)
    library(magrittr)

    # Set common CRS
    crs <- "+proj=utm +zone=10 +ellps=GRS80 +datum=NAD83 +units=m +no_defs "

    # Read in our vector & raster data
    rast <- readRDS(gzcon(url('http://web.pdx.edu/~porlando/study_area.RDS'))) %>%
    spTransform(CRSobj = crs) %>% raster(res = 50, crs = crs)
    vect <- readRDS(gzcon(url('http://web.pdx.edu/~porlando/fwy.RDS'))) %>%
    spTransform(CRSobj = crs) %>% crop(rast)

    # Use spatstat to create density raster
    roadsPSP <- as.psp(as(vect, "SpatialLines"))
    roadLengthIM <- pixellate.psp(roadsPSP, eps = 50) # meters
    roadLengthRaster <- raster(roadLengthIM, crs = projection(vect))

    # The resolution isn't exactly 50m x 50m so I resample again
    roadLengthRaster50m <- resample(roadLengthRaster, rast)

    # Recode values to exaggerate presence/absence
    values(roadLengthRaster50m)[values(roadLengthRaster50m)<=0] <- NA
    values(roadLengthRaster50m)[values(roadLengthRaster50m)>0] <- 100

    # Plot raster layer on top of vector layer
    plot(vect, col="black")
    plot(roadLengthRaster50m, add = T)


    enter image description here



    There are many areas where the black vector layer is poking through the rasterized version. At this point, I'm not sure whether it's a visualization issue, or a limitation of this approach entirely!









    share

























      0












      0








      0








      The following example converts a line vector layer (road network) into a density raster. It seems to be working for others', but it looks like it's creating data gaps at my resolution (50m).



      library(spatstat)
      library(raster)
      library(rgdal)
      library(magrittr)

      # Set common CRS
      crs <- "+proj=utm +zone=10 +ellps=GRS80 +datum=NAD83 +units=m +no_defs "

      # Read in our vector & raster data
      rast <- readRDS(gzcon(url('http://web.pdx.edu/~porlando/study_area.RDS'))) %>%
      spTransform(CRSobj = crs) %>% raster(res = 50, crs = crs)
      vect <- readRDS(gzcon(url('http://web.pdx.edu/~porlando/fwy.RDS'))) %>%
      spTransform(CRSobj = crs) %>% crop(rast)

      # Use spatstat to create density raster
      roadsPSP <- as.psp(as(vect, "SpatialLines"))
      roadLengthIM <- pixellate.psp(roadsPSP, eps = 50) # meters
      roadLengthRaster <- raster(roadLengthIM, crs = projection(vect))

      # The resolution isn't exactly 50m x 50m so I resample again
      roadLengthRaster50m <- resample(roadLengthRaster, rast)

      # Recode values to exaggerate presence/absence
      values(roadLengthRaster50m)[values(roadLengthRaster50m)<=0] <- NA
      values(roadLengthRaster50m)[values(roadLengthRaster50m)>0] <- 100

      # Plot raster layer on top of vector layer
      plot(vect, col="black")
      plot(roadLengthRaster50m, add = T)


      enter image description here



      There are many areas where the black vector layer is poking through the rasterized version. At this point, I'm not sure whether it's a visualization issue, or a limitation of this approach entirely!









      share














      The following example converts a line vector layer (road network) into a density raster. It seems to be working for others', but it looks like it's creating data gaps at my resolution (50m).



      library(spatstat)
      library(raster)
      library(rgdal)
      library(magrittr)

      # Set common CRS
      crs <- "+proj=utm +zone=10 +ellps=GRS80 +datum=NAD83 +units=m +no_defs "

      # Read in our vector & raster data
      rast <- readRDS(gzcon(url('http://web.pdx.edu/~porlando/study_area.RDS'))) %>%
      spTransform(CRSobj = crs) %>% raster(res = 50, crs = crs)
      vect <- readRDS(gzcon(url('http://web.pdx.edu/~porlando/fwy.RDS'))) %>%
      spTransform(CRSobj = crs) %>% crop(rast)

      # Use spatstat to create density raster
      roadsPSP <- as.psp(as(vect, "SpatialLines"))
      roadLengthIM <- pixellate.psp(roadsPSP, eps = 50) # meters
      roadLengthRaster <- raster(roadLengthIM, crs = projection(vect))

      # The resolution isn't exactly 50m x 50m so I resample again
      roadLengthRaster50m <- resample(roadLengthRaster, rast)

      # Recode values to exaggerate presence/absence
      values(roadLengthRaster50m)[values(roadLengthRaster50m)<=0] <- NA
      values(roadLengthRaster50m)[values(roadLengthRaster50m)>0] <- 100

      # Plot raster layer on top of vector layer
      plot(vect, col="black")
      plot(roadLengthRaster50m, add = T)


      enter image description here



      There are many areas where the black vector layer is poking through the rasterized version. At this point, I'm not sure whether it's a visualization issue, or a limitation of this approach entirely!







      raster r rasterization density spatstat





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      asked 4 mins ago









      spacedSparkingspacedSparking

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