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3.1 KiB
3.1 KiB
Here is a list of grass7 algorithms without test units
Raster algorithms
- r.basins.fill
- r.carve: needs a vector input
- r.category
- r.category.out
- r.coin
- r.colors
- r.colors.out
- r.colors.stddev
- r.composite
- r.contour.level
- r.contour.step
- r.cost.coordinates
- r.cost.points
- r.cost.raster
- r.covar
- r.cross
- r.describe
- r.distance
- r.drain
- r.fill.dir
- r.fillnulls
- r.flow
- r.flow.aspect
- r.flow.aspect.barrier
- r.flow.barrier
- r.grow
- r.grow.distance
- r.gwflow
- r.his
- r.horizon
- r.horizon.height
- r.in.lidar
- r.in.lidar.info
- r.info
- r.kappa
- r.lake.coords
- r.lake.layer
- r.latlong
- r.li.cwed
- r.li.cwed.ascii
- r.li.dominance
- r.li.dominance.ascii
- r.li.edgedensity
- r.li.edgedensity.ascii
- r.li.mpa
- r.li.mpa.ascii
- r.li.mps
- r.li.mps.ascii
- r.li.padcv
- r.li.padcv.ascii
- r.li.padrange
- r.li.padrange.ascii
- r.li.padsd
- r.li.padsd.ascii
- r.li.patchdensity
- r.li.patchdensity.ascii
- r.li.patchnum
- r.li.patchnum.ascii
- r.li.pielou
- r.li.pielou.ascii
- r.li.renyi
- r.li.renyi.ascii
- r.li.richness
- r.li.richness.ascii
- r.li.shannon
- r.li.shannon.ascii
- r.li.shape
- r.li.shape.ascii
- r.li.simpson
- r.li.simpson.ascii
- r.mapcalc
- r.mask.rast
- r.mask.vect
- r.median
- r.mfilter
- r.mfilter.fp
- r.mode
- r.neighbors
- r.null
- r.out.gridatb
- r.out.ppm
- r.out.vrml
- r.param.scale
- r.patch
- r.profile
- r.quant
- r.quantile
- r.random
- r.random.cells
- r.random.raster
- r.random.surface
- r.reclass.area.greater
- r.reclass.area.lesser
- r.recode
- r.regression.line
- r.regression.multi
- r.relief
- r.relief.scaling
- r.report
- r.resamp.bspline
- r.resamp.filter
- r.resamp.interp
- r.resamp.rst
- r.resamp.stats
- r.resample
- r.rescale
- r.rescale.eq
- r.rgb
- r.ros: too much input rasters !
- r.series.accumulate: can't reproduce same results !
- r.series.interp: needs to handle output directories
- r.sim.sediment: too much input rasters !
- r.sim.water: too much input rasters !
- r.solute.transport: too much input rasters !
- r.spreadpath: segfaults with test dataset !
- r.stats.quantile.rast: needs to handle output directories
- r.sunhours: can't reproduce same results !
- r.support: create a new test for raster: test after metadata.
- r.surf.fractal: random results !
- r.surf.gauss: random results !
- r.surf.random: random results !
- r.terraflow: can't produce output with test dataset !
- r.texture: needs to handle output directories
- r.tile: needs to handle output directories
- r.tileset: can't reproduce same results
- r.to.vect: needs a vector output in GML
- r.topmodel: too much manual inputs.
- r.uslek: can't produce output with test dataset (needs reclassified float rasters) !
- r.viewshed: can't produce output with test dataset !
- r.volume: needs a vector output in GML
Imagery algorithms
- i.albedo
- i.aster.toar
- i.cca
- i.colors.enhance
- i.eb.evapfr
- i.evapo.time
- i.fft
- i.his.rgb
- i.ifft
- i.in.spotvgt
- i.landsat.acca
- i.landsat.toar
- i.pca
- i.rectify
- i.tasscap
- i.topo.corr
Vector algorithms
We need to handle gml for output and input for GRASS7 algorithms before creating tests !