Other packages > Find by keyword >

pgirmess  

Spatial Analysis and Data Mining for Field Ecologists
View on CRAN: Click here


Download and install pgirmess package within the R console
Install from CRAN:
install.packages("pgirmess")

Install from Github:
library("remotes")
install_github("cran/pgirmess")

Install by package version:
library("remotes")
install_version("pgirmess", "2.0.3")



Attach the package and use:
library("pgirmess")
Maintained by
Patrick Giraudoux
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2005-11-02
Latest Update: 2024-01-24
Description:
Set of tools for reading, writing and transforming spatial and seasonal data, model selection and specific statistical tests for ecologists. It includes functions to interpolate regular positions of points between landmarks, to discretize polylines into regular point positions, link distant observations to points and convert a bounding box in a spatial object. It also provides miscellaneous functions for field ecologists such as spatial statistics and inference on diversity indexes, writing data.frame with Chinese characters.
How to cite:
Patrick Giraudoux (2005). pgirmess: Spatial Analysis and Data Mining for Field Ecologists. R package version 2.0.3, https://cran.r-project.org/web/packages/pgirmess. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 1.2.2 (2005-11-02 22:46), 1.2.3 (2005-12-28 00:44), 1.2.4 (2006-01-01 22:53), 1.2.5 (2006-02-16 19:13), 1.2.6 (2006-04-15 21:36), 1.2.7 (2006-04-18 11:58), 1.2.8 (2006-05-24 12:06), 1.2.9 (2006-06-22 09:39), 1.3.0 (2006-09-30 21:09), 1.3.1 (2006-12-10 16:10), 1.3.2 (2007-04-05 21:00), 1.3.3 (2007-05-01 21:14), 1.3.4 (2007-10-01 12:16), 1.3.5 (2007-12-31 16:54), 1.3.6 (2008-03-24 22:33), 1.3.7 (2008-05-04 18:49), 1.3.8 (2009-01-26 09:53), 1.3.9 (2009-07-27 14:49), 1.4.0 (2009-09-13 11:08), 1.4.1 (2009-11-08 20:00), 1.4.2 (2009-11-13 14:35), 1.4.3 (2009-12-11 08:04), 1.4.4 (2010-03-07 18:09), 1.4.5 (2010-04-16 18:51), 1.4.6 (2010-06-27 21:00), 1.4.7 (2010-07-24 22:41), 1.4.8 (2010-08-29 09:13), 1.4.9 (2010-09-11 11:12), 1.5.0 (2011-01-23 10:08), 1.5.1 (2011-02-15 17:26), 1.5.2 (2011-11-07 17:23), 1.5.3 (2012-06-26 20:36), 1.5.4 (2012-08-18 15:36), 1.5.5 (2012-11-30 18:19), 1.5.6 (2012-12-15 17:41), 1.5.7 (2013-03-28 08:53), 1.5.8 (2013-09-28 22:16), 1.5.9 (2014-06-09 16:14), 1.6.0 (2015-04-30 09:00), 1.6.1 (2015-06-06 10:30), 1.6.2 (2015-06-07 11:30), 1.6.3 (2015-11-04 19:04), 1.6.4 (2016-01-31 12:22), 1.6.5 (2016-09-25 17:14), 1.6.6 (2017-03-26 18:12), 1.6.7 (2017-03-27 16:30), 1.6.8 (2018-03-10 22:25), 1.6.9 (2018-03-12 15:56), 1.7.0 (2021-04-05 15:50), 1.7.1 (2021-12-10 17:00), 2.0.0 (2022-02-23 11:10), 2.0.1 (2023-04-01 14:00), 2.0.2 (2023-04-07 20:20)
Other packages that cited pgirmess R package
View pgirmess citation profile
Other R packages that pgirmess depends, imports, suggests or enhances
Complete documentation for pgirmess
Functions, R codes and Examples using the pgirmess R package
Some associated functions: kruskalmc . 
Some associated R codes: cormat.R . correlog.R . diag2edge.R . difshannonbio.R . findR.R . friedmanmc.R . ks.gof.R . pairsrp.R . piankabio.R . piankabioboot.R . polycirc.R . polycirc2.R . shannon.R . shannonbio.R . shannonbioboot.R . tabcont2categ.R . val4symb.R . write.delim.R .  Full pgirmess package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA