2.7 KiB

Here is a list of grass algorithms without test units

Raster algorithms

  • r.basins.fill: needs different input rasters (result is always empty).
  • r.carve: needs a vector input.
  • r.colors: needs to handle output directories.
  • r.colors.stddev: needs to find a way to test color table.
  • r.contour.level: needs to export vector to GeoJSON (instead of Shapefile).
  • r.contour.step: needs to export vector to GeoJSON (instead of Shapefile).
  • r.drain: needs another dataset.
  • r.flow.aspect.barrier: needs another dataset.
  • r.flow.barrier: needs another dataset.
  • r.grow: needs another dataset.
  • r.grow.distance: needs another dataset.
  • r.gwflow: needs another (huge) dataset.
  • r.horizon
  • r.horizon.height
  • r.in.lidar: needs another dataset.
  • r.in.lidar.info: needs another dataset.
  • r.mapcalc
  • r.mask.rast
  • r.mask.vect
  • r.median
  • r.mfilter
  • r.mfilter.fp
  • r.mode
  • 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 GRASS algorithms before creating tests !