Debian GIS Project
Summary
Statistics
Statistik med geografiske data

Sæt af Debianpakker som er nyttige for udførsel af statistik med geografiske 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
Geomatisk værktøj til at beregne nabobefolkningspotentiale
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Svn

Klient til at udføre handlinger tilbudt af libhyantes. Hyantes forsøger at udvikle nye metoder for den kartografiske repræsentation af befolkningsdistributioner (befolkningstæthed, befolkningsstigning etc.) med diverse udjævnende funktioner og mulighed for animationer af tidsskalaer på kort. Det tilbyder en udjævnende metode relateret til flerskala estimering af nabodensitet.

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 - understøttelse for fremstilling af geografiske kort - supplementære data
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Denne pakke tilbyder faciliteter for nem fremstilling af højopløste kort baseret på datasæt i GNU R's statistiske beregningsmiljø. Pakken inkluderer højopløste kortdata for hele verden, sammen med kort over Kina (inklusive provinsgrænser) og et højopløst kort over New Zealand og et antal nærliggende Stillehavsøer.

Den foreslåede pakke r-cran-mapproj tilføjer faciliteter for beregning af geografiske projektioner, som bruges af kortlæggere til at kompensere for unøjagtighederne indbygget i projektering af en klumpformet overflade til en todimensional flade.

R-cran-mapproj
GNU R-understøttelse for kartografiske projektioner af kortdata
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Denne pakke tilbyder faciliteter for nem fremstilling af kartografiske projektioner af kort baseret på datasæt i GNU R's statistiske beregningsmiljø. Projektioner brugers af kortlæggere til at at kompensere for de indarvede unøjagtigheder i en projektering af en klumpformet overflade til en todimensional overflade.

R-cran-maps
GNU R-understøttelse for fremstilling af geografiske kort
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Denne pakke tilbyder faciliteter for nem udarbejdelse af kort baseret på datasæt i det GNU R-statistiske beregningsmiljø.

Pakken r-cran-maps inkluderer kortdata for USA (inklusiv landet og staterne), New Zealand og et verdenskort; yderligere kort (inklusiv et verdenskort i højere opløsning) er tilgængelige i den foreslåede r-cran-mapdata.

Den foreslåede pakke r-cran-mapproj tilføjer faciliteter for beregning af geografiske projektioner, som bruges af kortudarbejdere til at kompensere for de arvede unøjagtigheder i projektering af en klumpformet overflade i en todimensional flade.

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-klasser og metoder for delvise data
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Denne GNU R-pakke tilbyder klasser og metoder for delvise data. Klasserne dokumenterer hvor den delvise lokationsinformation befinder sig, for 2D- eller 3D-data. Redskabsfunktioner tilbydes, f.eks. for plotning af data som kort, delvis markering samt metoder for indhentelse af koordinater, for underopdeling, udskrivning, referat 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-rumlig afhængighed - vægtskemaer, statistik og modeller
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En samling af funktioner til at oprette rumlige vægtmatrixobjekter fra polygoncontiguiteter, fra punktmønstre efter afstand og tessellationer, til at opsummere disse objekter og for at tillade deres anvendelse i rumlig dataanalyse, herunder regional aggregering ved minimum udspændt træ; en samling af test for rumlig autokorrelation, inklusive global Morans I, APLE, Geary's C, Hubert/Mantel generelt krydsprodukt statistik, empiriske Bayes-estimater og Assunção/Reis-indeks, Getis/Ord G og flerfarvet sammenføjningstællestatistik, lokal Morans I og Getis/Ord G, sadelpunkt tilnærmelser og nøjagtige test for globalt og lokalt Morans I; og funktioner til estimering af rumlig samtidig autoregressive (SAR) forsinkelses- og fejlmodeller, påvirkningstiltag for forsinkelsesmodeller, vægtede og uvægtede SAR- og CAR-rumlige regressionsmodeller, semiparametrisk og Moran-egenvektor rumlig filtrering, GM SAR-fejlmodeller og generaliserede rumlige to-trins mindste firkantede modeller.

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