Debian GIS Project
Summary
Statistics
Statistics with geographical data

Set of Debian packages which are useful for doing statistics with geographical data.

Description

For a better overview of the project's availability as a Debian package, each head row has a color code according to this scheme:

If you discover a project which looks like a good candidate for Debian GIS to you, or if you have prepared an unofficial Debian package, please do not hesitate to send a description of that project to the Debian GIS mailing list

Links to other tasks

Debian GIS Statistics packages

Official Debian packages with high relevance

Hyantesite
geomatic tool to compute neighbourhood population potential
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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.

R-cran-deldir
GNU R Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
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This GNU R package calculates the Delaunay triangulation and the Dirichlet or Voronoi tessellation (with respect to the entire plane) of a planar point set. This package is used in Spatial Point Pattern analysis, model-fitting and simulation as it is done for instance in the package r-cran-spatstat.

R-cran-fields
GNU R tools for spatial data
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For curve, surface and function fitting with an emphasis on splines, spatial data and spatial statistics. The major methods include cubic, and thin plate splines, Kriging and compact covariances for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range). A major feature is that any covariance function implemented in R and following a simple fields format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets.

R-cran-mapdata
GNU R support for producing geographic maps (supplemental data)
Maintainer: Chris Lawrence
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This package provides facilities for easily producing high-resolution maps based on data sets in the GNU R statistical computing environment. It includes high-resolution map data for the entire world, along with maps of China (including provincial boundaries) and a higher-resolution map of New Zealand and a number of nearby Pacific islands.

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-mapproj
GNU R support for cartographic projections of map data
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This package provides facilities for easily producing cartographic projections of maps based on data sets in the GNU R statistical computing environment. Projections are used by mapmakers to compensate for the inaccuracies inherent in projecting a spheroid's surface onto a two-dimensional plane.

R-cran-maps
GNU R support for producing geographic maps
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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-raster
GNU R geographic data analysis and modeling
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This GNU R package provides functions for reading, writing, manipulating, analyzing and modeling of gridded spatial data. The package implements basic and high-level functions. Processing of very large files is supported.

R-cran-sp
GNU R classes and methods for spatial data
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This GNU R package provides classes and methods for spatial data. The classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc.

R-cran-spatstat
GNU R Spatial Point Pattern analysis, model-fitting, simulation, tests
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A GNU R package for analysing spatial data, mainly Spatial Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Contains functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, and pixel images. Point process models can be fitted to point pattern data. Cluster type models are fitted by the method of minimum contrast. Very general Gibbs point process models can be fitted to point pattern data using a function ppm similar to lm or glm. Models may include dependence on covariates, interpoint interaction and dependence on marks. Fitted models can be simulated automatically. Also provides facilities for formal inference (such as chi-squared tests) and model diagnostics (including simulation envelopes, residuals, residual plots and Q-Q plots).

Please cite: Adrian Baddeley and Rolf Turner: Spatstat: an {R} package for analyzing spatial point patterns. Journal of Statistical Software 12(6):1-42 (2005)
R-cran-spdep
GNU R spatial dependence: weighting schemes, statistics and models
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A collection of functions to create spatial weights matrix objects from polygon contiguities, from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial autocorrelation, including global Moran's I, APLE, Geary's C, Hubert/Mantel general cross product statistic, Empirical Bayes estimates and Assunção/Reis Index, Getis/Ord G and multicoloured join count statistics, local Moran's I and Getis/Ord G, saddlepoint approximations and exact tests for global and local Moran's I; and functions for estimating spatial simultaneous autoregressive (SAR) lag and error models, impact measures for lag models, weighted and unweighted SAR and CAR spatial regression models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial two stage least squares models.

Packaging has started and developers might try the packaging code in VCS

R-cran-gpclib
GNU R General Polygon Clipping Library
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General polygon clipping routines for R based on Alan Murta's C library. This package is used in Spatial Point Pattern analysis, model-fitting and simulation as it is done for instance in the package r-cran-spatstat.

Note: there is a package libgpcl0 / libgpcl-dev which should be used to link instead of the copy of this code inside this package.

R-cran-gstat
GNU R geostatistical modelling, prediction and simulation
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This GNU R package provides features which are useful for variogram modelling; simple, ordinary and universal point or block (co)kriging, sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions.

R-cran-pbsmapping
GNU R two-dimensional plotting features frequently used in Geographic Information Systems
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This software has evolved from fisheries research conducted at the Pacific Biological Station (PBS) in Nanaimo, British Columbia, Canada. It extends the R language to include two-dimensional plotting features similar to those commonly available in a Geographic Information System (GIS). Embedded C code speeds algorithms from computational geometry, such as finding polygons that contain specified point events or converting between longitude-latitude and Universal Transverse Mercator (UTM) coordinates. It includes data for a global shoreline and other data sets in the public domain.

To use this package effectively, please consult the guide in /usr/share/doc/r-cran-pbsmapping/PBSmapping-UG.pdf.

R-cran-tripack
GNU R constrained two-dimensional Delaunay triangulation package
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R CRAN tripack can be used for constrained two-dimensional Delaunay triangulation which is useful for dealing with spatial weights matrix objects from polygon contiguities as it is done in the R CRAN spdep package.

*Popularitycontest results: number of people who use this package regularly (number of people who upgraded this package recently) out of 200581