pkgsrc - [no description]

Age	Commit message (Collapse)	Author	Files	Lines
2015-11-03	Add SHA512 digests for distfiles for math category	agc	1	-1/+2
	Problems found locating distfiles: Package dfftpack: missing distfile dfftpack-20001209.tar.gz Package eispack: missing distfile eispack-20001130.tar.gz Package fftpack: missing distfile fftpack-20001130.tar.gz Package linpack: missing distfile linpack-20010510.tar.gz Package minpack: missing distfile minpack-20001130.tar.gz Package odepack: missing distfile odepack-20001130.tar.gz Package py-networkx: missing distfile networkx-1.10.tar.gz Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz Package quadpack: missing distfile quadpack-20001130.tar.gz Otherwise, existing SHA1 digests verified and found to be the same on the machine holding the existing distfiles (morden). All existing SHA1 digests retained for now as an audit trail.
2012-04-15	Update to RArcInfo v0.4-12, added LICENSE and regularized package files.	brook	3	-19/+22

2008-10-13	Update R-RArcInfo to 0.4.7	markd	2	-8/+7
	Changes Unknown
2007-10-25	Remove empty PLISTs from pkgsrc since revision 1.33 of plist/plist.mk	jlam	1	-1/+0
	can handle packages having no PLIST files.
2007-02-22	Whitespace cleanup, courtesy of pkglint.	wiz	1	-7/+7
	Patch provided by Sergey Svishchev in private mail.
2006-02-05	Recursive revision bump / recommended bump for gettext ABI change.	joerg	1	-1/+2

2005-11-04	Imported R-RArcInfo from pkgsrc-wip.	rillig	4	-0/+34
	RArcInfo is a package for the R statistical program to import Arc/Info V7.x binary coverages. It is based on the library Avcelib written by Daniel Morissette. Currently, RArcInfo supports most of the file formats stored by these type of coverages. The geographical information (arcs, polygons, topological relationships, etc.) are stored using lists, but all the tables containing related information are imported into a data frame. Once the desired data are imported, the user can draw maps, even filling the polygons according to the value of a given covariate. Although R is not designed for heavy G.I.S. work, this package is very helpful to work with binary coverages inside R.