rasterLopodData: Create a LopodData object from Raster data

In bayesLopod: Bayesian Inference of Landscape Occupancy from Presence-Only Data

Description

Create a LopodData object from Raster data

Usage

rasterLopodData(rasterN, rasterY, Adjacency = T, extSample = 0.025,
  extDetection = 0.15)

Arguments

rasterN	Raster object with sampling effort (number of sampling events)in each cell.
rasterY	Raster object with number of detections in each cell.
Adjacency	Boolean. If TRUE, and adjacency matrix is computed.
extSample	Number between 0 and 1. Maximum distance (relative to the diagonal of the raster) from a sampled cell that should be included in the study area. If 0, there is no extrapolation to not sampled cells.
extDetection	Number between 0 and 1. Maximum distance (relative to the diagonal of the raster) from cell in which the species was detected that should be included in the study area. If 0, there is no extrapolation to not sampled cells.

Value

A LopodData object to be used in modelLopod.

Examples

data("simSpRecords", package = "bayesLopod")
data("simSpSamplingEffort", package = "bayesLopod")
simSpRasters = xyToRaster(xyRecords = simSpRecords,xySamplingEffort = simSpSamplingEffort,
basemap = NULL, nrows = 10, extentExpansion = 0)
ld_Raster = rasterLopodData(rasterN = simSpRasters[["samplingEffort"]],
rasterY = simSpRasters[["spDetections"]], Adjacency = FALSE )
## Not run: 
data("simSpRecords", package = "bayesLopod")
data("simSpSamplingEffort", package = "bayesLopod")
simSpRasters = xyToRaster(xyRecords = simSpRecords,xySamplingEffort = simSpSamplingEffort,
basemap = NULL, nrows = 50, extentExpansion = 0)
ld_Raster_adMatrix = rasterLopodData(rasterN = simSpRasters[["samplingEffort"]],
rasterY = simSpRasters[["spDetections"]], Adjacency = TRUE )

## End(Not run)

bayesLopod documentation built on Jan. 4, 2018, 5:08 p.m.