Other packages > Find by keyword >

spsurvey  

Spatial Sampling Design and Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("spsurvey", "5.5.1")



Attach the package and use:
library("spsurvey")
Maintained by
Michael Dumelle
[Scholar Profile | Author Map]
First Published: 2007-01-24
Latest Update: 2024-01-09
Description:
A design-based approach to statistical inference, with a focus on spatial data. Spatially balanced samples are selected using the Generalized Random Tessellation Stratified (GRTS) algorithm. The GRTS algorithm can be applied to finite resources (point geometries) and infinite resources (linear / linestring and areal / polygon geometries) and flexibly accommodates a diverse set of sampling design features, including stratification, unequal inclusion probabilities, proportional (to size) inclusion probabilities, legacy (historical) sites, a minimum distance between sites, and two options for replacement sites (reverse hierarchical order and nearest neighbor). Data are analyzed using a wide range of analysis functions that perform categorical variable analysis, continuous variable analysis, attributable risk analysis, risk difference analysis, relative risk analysis, change analysis, and trend analysis. spsurvey can also be used to summarize objects, visualize objects, select samples that are not spatially balanced, select panel samples, measure the amount of spatial balance in a sample, adjust design weights, and more. For additional details, see Dumelle et al. (2023) <doi:10.18637/jss.v105.i03>.
How to cite:
Michael Dumelle (2007). spsurvey: Spatial Sampling Design and Analysis. R package version 5.5.1, https://cran.r-project.org/web/packages/spsurvey. Accessed 24 Apr. 2025.
Previous versions and publish date:
1.6.1 (2007-02-11 13:43), 1.6.2 (2007-03-09 13:18), 1.6 (2007-01-24 12:07), 2.0 (2008-06-20 12:53), 2.1-2 (2011-05-03 09:43), 2.1 (2009-11-03 21:19), 2.2 (2011-05-24 05:46), 2.3 (2012-02-04 09:39), 2.4 (2012-05-30 08:55), 2.5 (2012-10-12 07:37), 2.6 (2013-09-26 16:05), 3.0 (2015-05-22 20:08), 3.1 (2015-10-23 21:02), 3.2 (2016-08-17 00:05), 3.3 (2016-08-19 21:39), 3.4 (2018-06-14 00:03), 4.0.0 (2019-04-05 12:10), 4.1.0 (2019-08-30 06:20), 4.1.1 (2019-12-18 17:20), 4.1.2 (2020-04-01 14:50), 4.1.3 (2020-06-18 19:10), 4.1.4 (2020-09-18 10:20), 5.0.0 (2021-10-18 10:50), 5.0.1 (2021-10-20 07:20), 5.1.0 (2021-12-15 18:30), 5.2.0 (2022-01-24 11:30), 5.3.0 (2022-02-25 01:00), 5.4.0 (2022-11-22 10:10), 5.4.1 (2023-01-16 19:20), 5.5.0 (2023-05-17 00:50)
Other packages that cited spsurvey R package
View spsurvey citation profile
Other R packages that spsurvey depends, imports, suggests or enhances
Complete documentation for spsurvey
Functions, R codes and Examples using the spsurvey R package
Some associated functions: Illinois_River . Illinois_River_Legacy . Lake_Ontario . NE_Lakes . NE_Lakes_Legacy . NE_Lakes_df . NLA_PNW . NRSA_EPA7 . adjwgt . adjwgtNR . ash1_wgt . attrisk_analysis . cat_analysis . cdf_plot . change_analysis . cont_analysis . cont_cdfplot . cont_cdftest . cov_panel_dsgn . diffrisk_analysis . errorprnt . grts . irs . localmean_cov . localmean_var . localmean_weight . pd_summary . plot . plot.sp_CDF . power_dsgn . ppd_plot . relrisk_analysis . revisit_bibd . revisit_dsgn . revisit_rand . sp_balance . sp_frame . sp_plot . sp_rbind . sp_summary . spsurvey-package . stopprnt . summary . trend_analysis . warnprnt . 
Some associated R codes: adjwgt.R . adjwgtNR.R . ash1_wgt.R . attrisk_analysis.R . attrisk_var.R . bootfcn.R . cat_analysis.R . cat_localmean_prop.R . cat_localmean_total.R . category_est.R . catvar_prop.R . catvar_total.R . cdf_est.R . cdf_localmean_prop.R . cdf_localmean_total.R . cdf_nresp.R . cdf_plot.R . cdf_prop.R . cdftest_localmean_prop.R . cdftest_localmean_total.R . cdftestvar_prop.R . cdftestvar_total.R . cdfvar_prop.R . cdfvar_total.R . change_analysis.R . change_est.R . changevar_mean.R . changevar_prop.R . changevar_total.R . cont_analysis.R . cont_cdfplot.R . cont_cdftest.R . contrast_analysis.R . cov_panel_dsgn.R . data.R . diffrisk_analysis.R . dsgn_check.R . errorprnt.R . get_address.R . globalVariables.R . grts.R . grts_stratum.R . grtspts_ip.R . grtspts_ipleg.R . grtspts_mindis.R . input_check.R . insideAreaGridCell.R . insideLinearGridCell.R . interp_axis.R . interp_cdf.R . irs.R . irs_stratum.R . irspts_mindis.R . localmean_cov.R . localmean_var.R . localmean_weight.R . mean_est.R . mean_localmean.R . mean_var.R . pd_summary.R . percentile_est.R . plot.R . power_dsgn.R . ppd_plot.R . print.R . relrisk_analysis.R . relrisk_var.R . replace_near.R . revisit_bibd.R . revisit_dsgn.R . revisit_rand.R . rho.R . sp_balance.R . sp_frame.R . sp_plot.R . sp_rbind.R . sp_summary.R . spsurvey.R . startup.R . stopprnt.R . summary.R . survey_design.R . svychisq_localmean.R . total_est.R . total_localmean.R . total_var.R . trend_analysis.R . uniqueID.R . utils.R . vecprint.R . warnprnt.R .  Full spsurvey package functions and examples
Downloads during the last 30 days
03/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/22Downloads for spsurvey01020304050607080TrendBars

Today's Hot Picks in Authors and Packages

rattle  
Graphical User Interface for Data Science in R
The R Analytic Tool To Learn Easily (Rattle) provides a collection of utilities functions for the d ...
Download / Learn more Package Citations See dependency  
TeachHist  
A Collection of Amended Histograms Designed for Teaching Statistics
Statistics students often have problems understanding the relation between a random variable's true ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
PQLseq  
Efficient Mixed Model Analysis of Count Data in Large-Scale Genomic Sequencing Studies
An efficient tool designed for differential analysis of large-scale RNA sequencing (RNAseq) data and ...
Download / Learn more Package Citations See dependency  
clustMixType  
k-Prototypes Clustering for Mixed Variable-Type Data
Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to ...
Download / Learn more Package Citations See dependency  
vudc  
Visualization of Univariate Data for Comparison
Contains functions for visualization univariate data: ccdplot and qddplot. ...
Download / Learn more Package Citations See dependency  

24,098

R Packages

207,311

Dependencies

65,069

Author Associations

24,099

Publication Badges

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