R-RArcInfo - Read geographical information from Arc/Info

Property Value
Distribution NetBSD 8.0
Repository NetBSD i386
Package filename R-RArcInfo-0.4.12.tgz
Package name R-RArcInfo
Package version 0.4.12
Package release -
Package architecture i386
Package type tgz
Category math
Homepage http://cran.r-project.org/web/packages/RArcInfo/
License gnu-gpl-v2
Maintainer -
Download size 313.32 KB
Installed size 517.93 KB
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.


Package Version Architecture Repository
R-RArcInfo-0.4.12.tgz 0.4.12 amd64 NetBSD
R-RArcInfo - - -


Name Value
R >= 2.2.1nb2
R-RColorBrewer >= 1.0.5


Type URL
Mirror ftp.netbsd.org
Binary Package R-RArcInfo-0.4.12.tgz
Source Package R-RArcInfo

Install Howto

Install R-RArcInfo tgz package:

# pkg_add R-RArcInfo



See Also

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R-RPostgreSQL-0.6.2.tgz R interface to the PostgreSQL database system
R-RSQLite-2.1.1.tgz 'SQLite' Interface for R
R-RandomFields-2.0.66.tgz Simulation and analysis of random fields
R-Rcmdr-1.8.4.tgz Platform-independent basic-statistics GUI for R
R-Rcpp-1.0.1.tgz Seamless R and C++ Integration
R-RcppArmadillo-0.8.400.0.0.tgz Testing linear regression models
R-RcppEigen- Rcpp integration for the Eigen templated linear algebra library
R-SparseM-1.77.tgz Sparse Linear Algebra
R-TTR-0.23.3.tgz Technical trading rules
R-VGAM-1.0.5.tgz Vector Generalized Linear and Additive Models
R-XML- Tools for parsing and generating XML within R
R-abind-1.4.5.tgz Combine multi-dimensional arrays
R-akima-0.6.2.tgz Linear or cubic spline interpolation for irregular gridded data