On 01/09/16 14:33, Markus Neteler wrote:
On Thu, Sep 1, 2016 at 10:57 AM, Moritz Lennert
<[email protected]> wrote:
...
Although I have a question concerning these Makefiles. I noticed that I
never entered i.segment.uspo in
https://trac.osgeo.org/grass/log/grass-addons/grass7/imagery/Makefile
but it is being compiled on the Windows server:
The Windows built train does not use the Makefiles (that's only
happening on Unix based system) but simply compiles everything in the
directory tree.
The Linux compile chain for the addons does use the Makefiles: hence
modules should be added there.
You mean for the binary snapshot ? Users on Linux can still run
g.extension on a module even if it does not have an entry in the section
Makefile...
Here's a preliminary list of the new ones that are listed with
'g.extension -c', but I'll clean that up tomorrow the latest:
v.tin.to.rast: Converts (rasterize) a TIN map into a raster map
v.maxent.swd: Export raster values at given point locations as text file
in SWD format for input in Maxent
v.in.gbif: importing of GBIF species distribution data
v.in.redlist: importing of IUCN Red List Spatial Data
v.class.mlR: Provides supervised support vector machine classification
v.in.natura2000: importing of Natura 2000 spatial data of protected areas
v.mrmr: Perform Minimum Redundancy Maximum Relevance Feature Selection
on a GRASS Attribute Table
v.in.osm: Imports OpenStreetMap data into GRASS GIS.
v.stream.order: Compute the stream order of stream networks stored in a
vector map at specific outlet vector points
r.mcda.promethee: Multicirtieria decision analysis based on PROMETHEE method
r.stream.variables:
r.category.trim: Export categories and corresponding colors as QGIS
colour file or csv file. Non-existing categories and their colour
definitions will be removed.
r.mregression.series:
r.series.decompose: Program calculates decomposition of time series X
r.out.legend: Create and export image file with legend of a raster map
r.terrain.texture: Pit and peak density
r.tri: Terrain Ruggedness Index
r.vector.ruggedness: Vector Ruggedness Measure
r.euro.ecosystem: Sets colors and categories of European ecosystem
raster data set
r.jpdf: From two series of input raster maps, calculates the joint
probability function and outputs the probabilities of occurrence in the
specified bins.
r.neighborhoodmatrix: Calculates a neighborhood matrix for a raster map
with regions
r.change.info: Landscape change assessment
r.randomforest: Provides supervised random forest classification
i.segment.stats: Calculates statistics describing raster areas
i.ortho.corr: Correct orthophoto taking part of the near orthophotos
using the camera angle map
i.segment.uspo: Unsupervised segmentation parameter optimization
i.gcp: Manages Ground Control Points (GCPs) non-interactively.
i.landsat8.swlst: Practical split-window algorithm estimating Land
Surface Temperature from Landsat 8 OLI/TIRS imagery (Du, Chen; Ren,
Huazhong; Qin, Qiming; Meng, Jinjie; Zhao, Shaohua. 2015)
i.lswt: Compute LSWT from TOA Brightness Temperatures
New addons since 7.0.4 (since May):
v.in.pygbif:
v.strds.stats: Calculates univariate statistics from given space-time
raster datasets based on a vector map
v.sort.points: Sorts a vector point map according to a numeric column
v.what.spoly: Queries vector map with overlaping "spaghetti" polygons
(e.g. Landsat footprints) at given location. Polygons must have not
intersected boundaries.
v.explode: "Explode" polylines, splitting them to separate lines (uses
v.split + v.category)
v.clip: Extracts features of input map which overlay features of clip map.
v.surf.tps:
r.colors.matplotlib: Convert or apply a Matplotlib color table to a
GRASS raster map
r.colors.cubehelix: Create or apply a cubehelix color table to a GRASS
raster map
r.object.geometry: Calculates geometry parameters for raster objects.
r3.what: Queries 3D raster in specified 2D or 3D coordinates.
i.landsat8.qc: Reclass Landsat8 QA band according to acceptable pixel
quality as defined by the user
i.fusion.hpf:
i.image.bathymetry: Satellite Derived Bathymetry (SDB) from
multispectral images
m.printws: Opens a workspace file and creates a map sheet according to
its visible contents.
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