spsurvey
Spatial Sampling Design and Analysis
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.
- Version5.5.1
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- spsurvey citation info
- Last release01/09/2024
Documentation
Team
Michael Dumelle
Denis White
Show author detailsRolesContributorTony Olsen
Show author detailsRolesAuthorMarc Weber
Show author detailsRolesAuthorTom Kincaid
Show author detailsRolesAuthorDon Stevens
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 964 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 33 times.
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Last 365 days
This package has been downloaded 10,365 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Feb 20, 2025 with 144 downloads.
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Dependencies
- Depends2 packages
- Imports7 packages
- Suggests3 packages
- Reverse Imports1 package
- Reverse Suggests2 packages