A C D E F G H I K L M N P R S T U W X

L

linearRescale(Grid2DSquareCellDouble, double, double, boolean) - Method in class uk.ac.leeds.ccg.andyt.grids.process.Grid2DSquareCellProcessor

Returns grid with values linearly rescaled into the range [min,max].

linearRescale(Grid2DSquareCellDouble, double, double, Grid2DSquareCellDoubleFactory, boolean) - Method in class uk.ac.leeds.ccg.andyt.grids.process.Grid2DSquareCellProcessor

Returns a new Grid2DSquareCellDouble that is a copy of grid, but with values linearly rescaled into the range [min,max].

log(String) - Method in class uk.ac.leeds.ccg.andyt.grids.examples.Run

TODO: 1.

log(int, String) - Method in class uk.ac.leeds.ccg.andyt.grids.examples.Run

TODO: 1.

log - Variable in class uk.ac.leeds.ccg.andyt.grids.process.Grid2DSquareCellProcessor

The log for recording progress and information about the processing.

log(String, boolean) - Method in class uk.ac.leeds.ccg.andyt.grids.process.Grid2DSquareCellProcessor

Writes string to log file and the console (standard output)

log(int, String, boolean) - Method in class uk.ac.leeds.ccg.andyt.grids.process.Grid2DSquareCellProcessor

Writes string to log file and the console (standard output) indenting string by logIndentation amount of white-space.

logIndentation - Variable in class uk.ac.leeds.ccg.andyt.grids.process.Grid2DSquareCellProcessor

The log indentation (how many spaces before a log message line is output).

logRescale(Grid2DSquareCellDouble, double, double, boolean) - Method in class uk.ac.leeds.ccg.andyt.grids.process.Grid2DSquareCellProcessor

Returns grid with values linearly scaled to range [1.0d,1000000.0d] then logged using Math.log(double) and then linearly scaled into the range [min,max]

logRescale(Grid2DSquareCellDouble, double, double, Grid2DSquareCellDoubleFactory, boolean) - Method in class uk.ac.leeds.ccg.andyt.grids.process.Grid2DSquareCellProcessor

Returns a new Grid2DSquareCellDouble that is a copy of grid, but with values linearly scaled to range [1.0d,1000000.0d] then logged using Math.log(double) and then linearly scaled into the range [min,max]