GRASS-Wiki - Recent changes [en]

Installation Guide

Ltb25 — Wed, 08 Apr 2026 15:38:56 GMT

Launch the OSGeo4W installer

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	* Install using [https://trac.osgeo.org/osgeo4w/ OSGeo4W installer] which installs all dependencies as well (PROJ, GDAL, GEOS, Python, etc.)		* Install using [https://trac.osgeo.org/osgeo4w/ OSGeo4W installer] which installs all dependencies as well (PROJ, GDAL, GEOS, Python, etc.)

			==== Launch the OSGeo4W installer ====

	~~==== Launch~~ the ~~OSGeo4W~~ installer ~~====~~		Save the downloaded installer (consider keeping it for future updates) and run it as an ''administrator''.

			(Note that with Windows 11 the ''desktop'', ''download'', and ''documents'' directories are located in a standard user account directory, e.g. C:\User\username, that is created by default and ''do not have administrator privileges'' - even on personal, single-user laptops when the user is also the administrator. To run the installer as an administrator from a location in a standard user account directory, right-click on the installer and select Run as administrator.)

	~~Save the downloaded installer (consider to keep it for future updates) and run it as an ''administrator''.~~		You can select either the grass (stable) or grass-daily (development) packages to install.
	You can select either the grass (stable) or grass-daily (development) packages to install.,

	[[Image:Osgeo4w_1.png\|center\|thumb\|500px\|Install with "Administrator" rights]]		[[Image:Osgeo4w_1.png\|center\|thumb\|500px\|Install with "Administrator" rights]]

Compile and Install

Neteler — Thu, 02 Apr 2026 12:21:04 GMT

+python3-pip; fix libfftw3

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	libgeos-dev \		libgeos-dev \
	libgdal-dev python3-gdal gdal-bin \		libgdal-dev python3-gdal gdal-bin \
	python3 python3-dev \		libfftw3-dev libfftw3-single3 libfftw3-double3 \
			python3 python3-dev python3-pip \
	python3-opengl \		python3-opengl \
	python3-dateutil libgsl-dev python3-numpy \		python3-dateutil libgsl-dev python3-numpy \
	~~libfftw3-dev \~~
	zlib1g-dev gettext \		zlib1g-dev gettext \
	libbz2-dev libzstd-dev libfreetype6-dev \		libbz2-dev libzstd-dev libfreetype6-dev \
	libtiff5-dev libpnglite-dev libcairo2 libcairo2-dev \		libtiff5-dev libpnglite-dev libcairo2 libcairo2-dev \
	sqlite3 libsqlite3-dev libpq-dev \		sqlite3 libsqlite3-dev libpq-dev \
	~~libfftw3-3 libfftw3-dev \~~
	libboost-thread-dev libboost-program-options-dev \		libboost-thread-dev libboost-program-options-dev \
	git \		git \

NSF POSE Project 2023-2025 Timeline

Wenzeslaus — Wed, 01 Apr 2026 19:32:41 GMT

Y3 3th quarter report (03/26 - 05/26): add URS and Coffee Talk

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	== Y3 3th quarter report (03/26 - 05/26) ==		== Y3 3th quarter report (03/26 - 05/26) ==

	''(~~future~~)''		[[File:Petras 2026 NC State URS poster pitch.jpg\|thumb\|alt=Vaclav Petras on stage with poster's graphical abstract in the background showing path from code decay to sustainable science. The text says: Avoid research code decay. Embrace collaboration through GRASS as we do. NC State University, Center for Geospatial Analytics, GRASS.\|Vaclav Petras delivering his poster pitch during University Research Symposium at NC State University.]]

			* Presentations, talks, posters:
			** Petras, Vaclav (2026). Avoid research code decay. Embrace collaboration through GRASS as we do. Poster presented at the 2026 NC State University Research Symposium, Raleigh, NC. March 31, 2026. DOI: [https://doi.org/10.13140/RG.2.2.15770.61126 10.13140/RG.2.2.15770.61126]
			** White, Corey T. (2026). International Society for Geomorphometry: Coffee Talk: Geomorphometry with GRASS. April 1, 2026

	== Y3 4th quarter report (06/26 - 08/26) ==		== Y3 4th quarter report (06/26 - 08/26) ==

File:Petras 2026 NC State URS poster pitch.jpg

Wenzeslaus — Wed, 01 Apr 2026 19:29:02 GMT

Wenzeslaus uploaded File:Petras 2026 NC State URS poster pitch.jpg

New page

Poster with a pitch and a graphical abstract presented at the 2026 NC State University Research Symposium, Raleigh, NC. March 31, 2026. Petras, Vaclav (2026). Avoid research code decay. Embrace collaboration through GRASS as we do. DOI: https://doi.org/10.13140/RG.2.2.15770.61126

Compile and Install

Neteler — Fri, 27 Mar 2026 16:27:31 GMT

Linux Mint 22: fix wxpython version, subversion -> git

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	libfftw3-3 libfftw3-dev \		libfftw3-3 libfftw3-dev \
	libboost-thread-dev libboost-program-options-dev \		libboost-thread-dev libboost-program-options-dev \
	~~subversion~~ \		git \
	checkinstall \		checkinstall \
	libglu1-mesa-dev libxmu-dev \		libglu1-mesa-dev libxmu-dev \
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	# Linux Mint 22+		# Linux Mint 22+
	sudo apt-get install wx3.2-headers libwxgtk3.2-dev libwxbase3.2-1 libgtk-3-dev python3-wxgtk4.0 \		sudo apt-get install wx3.2-headers libwxgtk3.2-dev libwxbase3.2-1 libgtk-3-dev python3-wxgtk4.0 \
	pip3 install -U -f https://extras.wxpython.org/wxPython4/extras/linux/gtk3/ubuntu-22.04 wxPython		pip3 install -U -f https://extras.wxpython.org/wxPython4/extras/linux/gtk3/ubuntu-24.04 wxPython
	</source>		</source>

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	* create a subdirectory in your HOME tree for storing the GRASS source code (and later compilation)		* create a subdirectory in your HOME tree for storing the GRASS source code (and later compilation)
	* get source code, one of the two options:		* get source code, one of the two options:
	** a) download [https://grass.osgeo.org/~~grass84~~/source/snapshot/ GRASS source code weekly snapshot] (e.g. take the "8.x.git snapshot"), or		** a) download [https://grass.osgeo.org/grass-stable/source/snapshot/ GRASS source code weekly snapshot] (e.g. take the "8.x.git snapshot"), or
	*** unpack source code		*** unpack source code
	** b) current source code from GitHub:		** b) current source code from GitHub:

V.generalize tutorial

Hamish — Wed, 18 Mar 2026 05:02:48 GMT

Simplification: add some explaining

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	</strike>		</strike>

	Douglas-Peucker Algorithm has very reasonable results, but it is very hard to find(guess) the		Douglas-Peucker Algorithm has very reasonable results, but it is very hard to find (i.e. guess) the
	~~right~~ value of threshold. Moreover, it is also impossible to simplify each line to (for example) 40%.		correct value to use for ''threshold=''. Moreover, it is also impossible to simplify each line to (for example) 40%.
	Exactly for such cases, ''v.generalize'' provides method=douglas_reduction. This algorithm		Exactly for such cases, ''v.generalize'' provides method=douglas_reduction. This algorithm
	is a modification of Douglas-Peucker Algorithm which takes another ~~paratemer~~ ''reduction''		is a modification of Douglas-Peucker Algorithm which takes another parameter ''reduction''
	which denotes (approximate) simplification of lines. For example,		which denotes (approximate, +/- a few percent) simplification of lines. A value of ''reduction=10'' will keep (approximately) 10% of the original vertices and drop the remaining 90%.

			For example,

	<pre>		<pre>