"SpatialPixelsLandscape"An S4 class that represents a landscape configuration over an (incomplete) grid of coordinates.
Objects can be created by calls of the form new("SpatialPixelsLandscape", ...).
data:Object of class "data.frame" containing the elevation (in m), slope (in degrees) and aspect (in degrees from North) of every cell.
coords.nrs:Inherited from SpatialPointsDataFrame but not used.
grid:Object of class "GridTopology".
grid.index:Index of points in full grid.
bbox:Object of class "matrix" with the boundary box.
proj4string:Object of class "CRS" with the projection string.
lct:A character vector of land cover type for each cell. Values allowed are: 'wildland', 'agriculture', 'rock' and 'static'.
forestlist:Object of class "list" containing a set of forest objects.
soillist:Object of class "list" containing a set of soil objects.
waterOrder:A numeric vector of cell processing order.
waterQ:A list of water discharge values to neighbours.
queenNeigh:A list of (queen) neighbours for each cell.
Class "'>SpatialPixelsTopography", directly.
Class "'>SpatialPixelsDataFrame", distance 2.
Class "'>SpatialPixels", distance 3.
Class "'>SpatialPointsDataFrame", distance 3.
Class "'>SpatialPoints", distance 4.
Class "'>Spatial", by class "SpatialPixelsTopography", distance 5.
signature(object = "SpatialPixelsLandscape"): returns a SpatialPixelsDataFrame with the land cover types of the landscape cells.
signature(object = "SpatialPixelsLandscape"): calculates a summary function for all forest stands and returns an object of class SpatialPixelsDataFrame-class.
signature(object = "SpatialPixelsLandscape"): calculates a summary function for the soil of all stands and returns an object of class SpatialPixelsDataFrame-class.
signature(object = "SpatialPixelsLandscape"): allows plotting maps of the landscape state.
SpatialPixelsTopography-class, SpatialPointsLandscape-class, spatialForestSummary, forest, soil
# NOT RUN {
#Structure of the S4 object
showClass("SpatialPixelsLandscape")
# }
Run the code above in your browser using DataLab