r-cran-maps 3.0.1-1 source package in Ubuntu

Changelog

r-cran-maps (3.0.1-1) unstable; urgency=medium

  * New upstream release.
  * Include README.md, added in 3.0.0-x.

 -- Chris Lawrence <email address hidden>  Sat, 05 Dec 2015 23:27:27 -0500

Upload details

Uploaded by:
Chris Lawrence
Uploaded to:
Sid
Original maintainer:
Chris Lawrence
Architectures:
any
Section:
gnu-r
Urgency:
Medium Urgency

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Series Pocket Published Component Section

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File Size SHA-256 Checksum
r-cran-maps_3.0.1-1.dsc 1.7 KiB 8b66306a735fc5cdffb98d594f8e393dc859ce2279e0ef87e098ec567831e601
r-cran-maps_3.0.1.orig.tar.gz 2.1 MiB e00a641059d85a5d1ede829bf4720c2fb744af37a996dfeedd673afc13101c44
r-cran-maps_3.0.1-1.debian.tar.xz 2.4 KiB b7162201a0c48399a57f2cc861e1779b6f15356184980f1daa68da61aee5032f

Available diffs

No changes file available.

Binary packages built by this source

r-cran-maps: GNU R support for producing geographic maps

 This package provides facilities for easily producing maps based on
 data sets in the GNU R statistical computing environment.
 .
 The r-cran-maps package includes map data for the United States
 (including state and county-level maps), New Zealand, and a world
 map; additional maps (including a higher-resolution world map) are
 available in the suggested r-cran-mapdata package.
 .
 The suggested r-cran-mapproj package adds facilities for calculating
 geographic projections, which are used by mapmakers to compensate for
 the inaccuracies inherent in projecting a spheroid's surface onto a
 two-dimensional plane.

r-cran-maps-dbgsym: debug symbols for package r-cran-maps

 This package provides facilities for easily producing maps based on
 data sets in the GNU R statistical computing environment.
 .
 The r-cran-maps package includes map data for the United States
 (including state and county-level maps), New Zealand, and a world
 map; additional maps (including a higher-resolution world map) are
 available in the suggested r-cran-mapdata package.
 .
 The suggested r-cran-mapproj package adds facilities for calculating
 geographic projections, which are used by mapmakers to compensate for
 the inaccuracies inherent in projecting a spheroid's surface onto a
 two-dimensional plane.