rangeMapper (version 0.3-7)

processRanges: processRanges

Description

processRanges

Usage

processRanges(con, spdf, dir, ID, metadata, parallel)

  # S4 method for SQLiteConnection,SpatialPolygonsDataFrame,missing,character,missing
processRanges(con,
  spdf, ID, metadata, parallel)

  # S4 method for SQLiteConnection,SpatialPolygonsDataFrame,missing,character,list
processRanges(con,
  spdf, ID, metadata, parallel)

  # S4 method for SQLiteConnection,missing,character,missing,missing
processRanges(con,
  dir, parallel)

  # S4 method for SQLiteConnection,missing,character,missing,list
processRanges(con,
  dir, metadata, parallel)

Arguments

con

a connection object.

spdf

SpatialPolygonsDataFrame object containing all the ranges.

dir

ranges file directory where the individual ranges shp files are located. In this case the range ID is the file name.

ID

a character vector of length one. An spdf column name indicating the range ID (e.g. species name).

metadata

a named list of functions. See rangeTraits and metadata.update.

parallel

default to FALSE. When TRUE a multiprocess evaluation scheme is initiated.

Methods (by class)

• con = SQLiteConnection,spdf = SpatialPolygonsDataFrame,dir = missing,ID = character,metadata = missing: Method 1: One SpatialPolygonsDataFrame containing all the ranges. No metadata.

• con = SQLiteConnection,spdf = SpatialPolygonsDataFrame,dir = missing,ID = character,metadata = list: Method 2: One SpatialPolygonsDataFrame containing all the ranges. Metadata are computed.

• con = SQLiteConnection,spdf = missing,dir = character,ID = missing,metadata = missing: Method 3: Each range file is a separate shp file. No metadata.

• con = SQLiteConnection,spdf = missing,dir = character,ID = missing,metadata = list: Method 4: Each range file is a separate shp file. Metadata are computed.

Examples

# NOT RUN {
require(rangeMapper)
require(rgdal)

dbcon = rangeMap.start(file = "wrens.sqlite", dir = tempdir(), overwrite = TRUE)
f = system.file(package = "rangeMapper", "extdata", "wrens", "vector_combined")
r = readOGR(f, "wrens", verbose = FALSE)[1:50, ]
global.bbox.save(con = dbcon, bbox = r)
gridSize.save(dbcon, gridSize = 5)
canvas.save(dbcon)
processRanges(con = dbcon, spdf = r, ID = "sci_name", metadata = rangeTraits() )
dbDisconnect(dbcon)

# }