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Source: hyantesite
Priority: extra
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: serge guelton <serge.guelton@enst-bretagne.fr>
Build-Depends: debhelper (>= 7), dh-autoreconf, doxygen, help2man, dpkg (>= 1.15.4) | install-info
Standards-Version: 3.9.3
Section: science
Vcs-Svn: svn://svn.debian.org/debian-science/packages/hyantesite
Vcs-Browser: http://svn.debian.org/viewsvn/debian-science/packages/hyantesite/
HomePage: http://hyantes.gforge.inria.fr
Package: libhyantes-dev
Section: libdevel
Architecture: any
Depends: ${misc:Depends}, libhyantes0 (= ${binary:Version})
Recommends: doxygen, help2man
Suggests: splint, valgrind
Description: development files for libhyantes
C headers and man pages for those who want to develop C/C++ programs
using libhyantes
hyantes aims to develop new methods for the cartographic representation of
human distributions (population density, population increase, etc.) with
various smoothing functions and opportunities for time-scale animations
of maps.
It provides a smoothing method related to multiscalar neighbourhood
density estimation.
Package: libhyantes0
Section: libs
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}
Description: geomatic library to compute neighbourhood population potential
hyantes aims to develop new methods for the cartographic representation of
human distributions (population density, population increase, etc.) with
various smoothing functions and opportunities for time-scale animations
of maps.
It provides a smoothing method related to multiscalar neighbourhood
density estimation.
Package: hyantesite
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}, libhyantes0 (= ${binary:Version})
Description: geomatic tool to compute neighbourhood population potential
Client to perform actions provided by libhyantes.
hyantes aims to develop new methods for the cartographic representation of
human distributions (population density, population increase, etc.) with
various smoothing functions and opportunities for time-scale animations
of maps.
It provides a smoothing method related to multiscalar neighbourhood
density estimation.
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