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convoSPAT

1.2.7

Convolution-Based Nonstationary Spatial Modeling

0packages depend
3.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Mark D. RisserFirst published 2015-07-218 releasesCRAN page ↗GitHub ↗

Fits convolution-based nonstationary Gaussian process models to point-referenced spatial data. The nonstationary covariance function allows the user to specify the underlying correlation structure and which spatial dependence parameters should be allowed to vary over space: the anisotropy, nugget variance, and process variance. The parameters are estimated via maximum likelihood, using a local likelihood approach. Also provided are functions to fit stationary spatial models for comparison, calculate the Kriging predictor and standard errors, and create various plots to visualize nonstationarity.

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
14%
Documented parameters
97%
Return-value docs
100%
References docs
0%

Downloads

3.1K
CRAN downloads in the past year
Rank #12,876 · ~8/day · ~256/mo
Daily download trend is not available in this view yet.
20330 days
78090 days
3.1K1 year
Compare downloads with other packages →
Also on120 r2u26 autocran

Repository

Repository
2Stars
2Forks
0Open issues
0Open PRs
0Releases
41Commits
2Contributors
41 commits · Last activity 2017-12-13

Stars over time

2022-03-03 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/markdrisser/convospat on 2026-08-16.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.1.2
Imports (7)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

8 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.2.7Latest
    2021-01-16 · current release · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.2.6
    2020-01-23 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.2.4
    2017-11-03 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 1.2
    2017-04-13 · diff ↗
  • 1.1.1
    2016-10-21 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
Show 4 earlier events
  • 1.1
    2016-04-29 · diff ↗
  • 1.0
    2015-09-29 · diff ↗
  • 0.1
    2015-07-21
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-07-21
Total releases
8 / 11 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.1.2
Bundled data
84 KB / 4 files
Download size
120 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("convoSPAT")
Risser, M. D. (2021). convoSPAT: Convolution-Based Nonstationary Spatial Modeling (Version 1.2.7) [Computer software]. https://doi.org/10.32614/CRAN.package.convoSPAT

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for convoSPAT version 1.2.7 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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