| merge_spatial {lidR} | R Documentation |
Merge a point cloud with a source of spatial data. It adds an attribute along each point based on
a value found in the spatial data. Sources of spatial data can be a SpatialPolygons*)
, a sf data.frame or a Raster*.
SpatialPolygons*, sf: it checks if the points belongs within each polygon. If
the parameter attribute is the name of an attribute in the table of attributes it assigns
to the points the values of that attribute. Otherwise it classifies the points as boolean.
TRUE if the points are in a polygon, FALSE otherwise.
RasterLayer: it attributes to each point the value found in each pixel of the
RasterLayer.
RasterStack or RasterBrick must have 3 channels for RGB colors. It colorizes the
point cloud with RGB values.
merge_spatial(las, source, attribute = NULL)
las |
An object of class |
source |
An object of class |
attribute |
character. The name of an attribute in the table of attributes of the shapefile or the name of a new column in the LAS object. Not relevant for RGB colorization. |
An object of the class LAS.
LASfile <- system.file("extdata", "Megaplot.laz", package="lidR")
shp <- system.file("extdata", "lake_polygons_UTM17.shp", package = "lidR")
las <- readLAS(LASfile, filter = "-keep_random_fraction 0.1")
lakes <- sf::st_read(shp)
# The attribute "inlake" does not exist in the shapefile.
# Points are classified as TRUE if in a polygon
las <- merge_spatial(las, lakes, "inlakes") # New attribute 'inlakes' is added.
forest <- filter_poi(las, inlakes == FALSE)
#plot(forest)
# The attribute "LAKENAME_1" exists in the shapefile.
# Points are classified with the values of the polygons
las <- merge_spatial(las, lakes, "LAKENAME_1") # New column 'LAKENAME_1' is added.