Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with
or
.
Download ZIP
Github mirror of the UCDavis Starspan project. Fixed to compile on Ubuntu 10.04
C++ Java
Branch: master

install instructions now use tag

latest commit 88116f3072
Simon Tokumine authored
Failed to load latest commit information.
autom4te.cache first import of starspan 1.0.08f
binaries/windows first import of starspan 1.0.08f
doc first import of starspan 1.0.08f
gui first import of starspan 1.0.08f
libtests first import of starspan 1.0.08f
src updated to compile clean on Ubuntu 10.04 & added installation instruc…
starspan.jars first import of starspan 1.0.08f
tests first import of starspan 1.0.08f
AUTHORS first import of starspan 1.0.08f
COPYING first import of starspan 1.0.08f
ChangeLog first import of starspan 1.0.08f
INSTALL first import of starspan 1.0.08f
Makefile.am first import of starspan 1.0.08f
Makefile.in first import of starspan 1.0.08f
NEWS first import of starspan 1.0.08f
README.markdown install instructions now use tag
THANKS updated to compile clean on Ubuntu 10.04 & added installation instruc…
aclocal.m4 first import of starspan 1.0.08f
configure first import of starspan 1.0.08f
configure.in first import of starspan 1.0.08f
copyright.txt first import of starspan 1.0.08f
depcomp first import of starspan 1.0.08f
install-sh first import of starspan 1.0.08f
missing first import of starspan 1.0.08f
mksrcdist.sh.in first import of starspan 1.0.08f
reconf first import of starspan 1.0.08f
starspan.in first import of starspan 1.0.08f

README.markdown

StarSpan

StarSpan is designed to bridge the raster and vector worlds of spatial analysis using fast algorithms for pixel level extraction from geometry features (points, lines, polygons). StarSpan generates databases of extracted pixel values (from one or a set of raster images), fused with the database attributes from the vector files. This allows a user to do statistical analysis of the pixel vs. attribute data in many existing packages and can greatly speed up classification training and testing. See the documentation for more details about commands, operations, and options.

This development has been possible thanks to California State Department of Boating and Waterways.

StarSpan should compile and run on most Unix flavor (including MacOs X and Windows via MinGW) although it has been mainly tested on Linux and MacOS X. StarSpan's core program is run from the command line. An experimental Java-based graphical user interface (GUI) is also available.

Installing StarSpan on Ubuntu 10.04

This fork builds clean against Ubuntu 10.04. We have built StarSpan using the EC2 AMI: ami-714ba518.

sudo apt-get update
sudo apt-get -y install build-essential wget libgeos-3.1.0 libgeos-dev libgdal1-1.6.0 libgdal1-dev
cd /tmp
wget http://github.com/tokumine/Starspan/tarball/1.0.08g
tar zxvf tokumine-Starspan-*
cd tokumine-Starspan-*
./configure
make
sudo make install

Installing StarSpan on other systems

StarSpan requires the GDAL and GEOS libraries properly installed on your system. For more details, see INSTALL.

Status and documentation

This is an open source software project and you are welcome to use the tool and contribute to this ongoing project. Please read the copyright agreement (copyright.txt). We encourage feature requests and bug reports, and these can be posted on the gforge website at: http://casil.ucdavis.edu/projects/starspan/ The main website is located at: http://starspan.casil.ucdavis.edu/


Something went wrong with that request. Please try again.