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spsurvey
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.spsurvey . https://github.com/USEPA/spsurvey/issues . https://usepa.github.io/spsurvey/ . https://github.com/USEPA/spsurvey . spsurvey citation info . spsurvey results . spsurvey.pdf . spsurvey_5.5.1.tar.gz . spsurvey_5.5.1.zip . spsurvey_5.5.1.zip . spsurvey_5.5.1.zip . spsurvey_5.5.1.tgz . spsurvey_5.5.1.tgz . spsurvey_5.5.1.tgz . spsurvey_5.5.1.tgz . spsurvey_5.5.1.tgz . spsurvey_5.5.1.tgz . spsurvey archive . https://CRAN.R-project.org/package=spsurvey .
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 29 Mar. 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
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