sperrorest

Spatial error estimation and variable importance

https://github.com/giscience-fsu/sperrorest

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

○
CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
✓
DOI references
Found 10 DOI reference(s) in README
○
Academic publication links
✓
Committers with academic emails
1 of 3 committers (33.3%) from academic institutions
✓
Institutional organization owner
Organization giscience-fsu has institutional domain (www.geographie.uni-jena.de)
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (14.2%) to scientific vocabulary

Keywords

cross-validation machine-learning r-package rstats spatial-statistics spatio-temporal-modeling statistical-learning

Keywords from Contributors

standardization

Last synced: 4 months ago · JSON representation

Repository

Spatial error estimation and variable importance

Basic Info

Host: GitHub
Owner: giscience-fsu
License: gpl-3.0
Language: R
Default Branch: main
Homepage: https://giscience-fsu.github.io/sperrorest/
Size: 117 MB

Statistics

Stars: 20
Watchers: 3
Forks: 3
Open Issues: 4
Releases: 12

Topics

cross-validation machine-learning r-package rstats spatial-statistics spatio-temporal-modeling statistical-learning

Created about 9 years ago · Last pushed 11 months ago

Metadata Files

Readme Changelog License Codemeta

sperrorest

Description

Spatial Error Estimation and Variable Importance

This package implements spatial error estimation and permutation-based spatial variable importance using different spatial cross-validation and bootstrap methods. Supported resampling methods include various types of block resampling, leave-one-out sampling with buffer, and resampling at the level of predefined groups; users can implement their own resampling functions. To cite {sperrorest} in publications, reference the paper by @Brenning2012. To see the package in action, please check the vignette "Spatial Modeling Use Case".

Installation

CRAN release version

r install.packages("sperrorest")

Development version

r remotes::install_github("giscience-fsu/sperrorest")

References

Brenning, A. 2005. Spatial Prediction Models for Landslide Hazards: Review, Comparison and Evaluation. Natural Hazards and Earth System Sciences 5 (6). Copernicus GmbH:853–62. https://doi.org/10.5194/nhess-5-853-2005

Brenning, A. 2012. Spatial Cross-Validation and Bootstrap for the Assessment of Prediction Rules in Remote Sensing: The R Package Sperrorest. In 2012 IEEE International Geoscience and Remote Sensing Symposium, 5372–5. https://doi.org/10.1109/IGARSS.2012.6352393

Russ, Georg, and A. Brenning. 2010a. Data Mining in Precision Agriculture: Management of Spatial Information. In Computational Intelligence for Knowledge-Based Systems Design: 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings, edited by Eyke Hüllermeier, Rudolf Kruse, and Frank Hoffmann, 350–59. Springer. https://doi.org/10.1007/978-3-642-14049-5_36

Russ, G., and A. Brenning. 2010b. Spatial Variable Importance Assessment for Yield Prediction in Precision Agriculture. In Lecture Notes in Computer Science, 184–95. https://doi.org/10.1007/978-3-642-13062-5_18

Schratz, P., Muenchow, J., Iturritxa, E., Richter, J., Brenning, A. (2019). Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data. Ecological Modelling, 406: 109-120. https://doi.org/10.1016/j.ecolmodel.2019.06.002

Owner

Name: giscience-fsu
Login: giscience-fsu
Kind: organization
Location: Jena, Germany

Website: https://www.geographie.uni-jena.de/Geoinformatik.html
Repositories: 3
Profile: https://github.com/giscience-fsu

CodeMeta (codemeta.json)

{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "@type": "SoftwareSourceCode",
  "identifier": "sperrorest",
  "description": "Implements spatial error estimation and permutation-based variable importance measures for predictive models using spatial cross-validation and spatial block bootstrap.",
  "name": "sperrorest: Perform Spatial Error Estimation and Variable Importance Assessment",
  "relatedLink": "https://giscience-fsu.github.io/sperrorest/",
  "codeRepository": "https://github.com/giscience-fsu/sperrorest",
  "issueTracker": "https://github.com/giscience-fsu/sperrorest/issues",
  "license": "https://spdx.org/licenses/GPL-3.0",
  "version": "3.0.5",
  "programmingLanguage": {
    "@type": "ComputerLanguage",
    "name": "R",
    "url": "https://r-project.org"
  },
  "runtimePlatform": "R version 4.2.1 (2022-06-23 ucrt)",
  "author": [
    {
      "@type": "Person",
      "givenName": "Alexander",
      "familyName": "Brenning",
      "email": "alexander.brenning@uni-jena.de",
      "@id": "https://orcid.org/0000-0001-6640-679X"
    },
    {
      "@type": "Person",
      "givenName": "Patrick",
      "familyName": "Schratz",
      "email": "patrick.schratz@gmail.com",
      "@id": "https://orcid.org/0000-0003-0748-6624"
    }
  ],
  "contributor": [
    {
      "@type": "Person",
      "givenName": "Tobias",
      "familyName": "Herrmann",
      "email": "herrmann.tobias89@gmail.com",
      "@id": "https://orcid.org/0000-0001-9768-0708"
    }
  ],
  "maintainer": [
    {
      "@type": "Person",
      "givenName": "Alexander",
      "familyName": "Brenning",
      "email": "alexander.brenning@uni-jena.de",
      "@id": "https://orcid.org/0000-0001-6640-679X"
    }
  ],
  "softwareSuggestions": [
    {
      "@type": "SoftwareApplication",
      "identifier": "knitr",
      "name": "knitr",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=knitr"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "MASS",
      "name": "MASS",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=MASS"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "nnet",
      "name": "nnet",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=nnet"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "parallel",
      "name": "parallel"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "ranger",
      "name": "ranger",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=ranger"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "rmarkdown",
      "name": "rmarkdown",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=rmarkdown"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "rpart",
      "name": "rpart",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=rpart"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "sp",
      "name": "sp",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=sp"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "testthat",
      "name": "testthat",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=testthat"
    }
  ],
  "softwareRequirements": {
    "1": {
      "@type": "SoftwareApplication",
      "identifier": "R",
      "name": "R",
      "version": ">= 2.10"
    },
    "2": {
      "@type": "SoftwareApplication",
      "identifier": "dplyr",
      "name": "dplyr",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=dplyr"
    },
    "3": {
      "@type": "SoftwareApplication",
      "identifier": "future",
      "name": "future",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=future"
    },
    "4": {
      "@type": "SoftwareApplication",
      "identifier": "future.apply",
      "name": "future.apply",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=future.apply"
    },
    "5": {
      "@type": "SoftwareApplication",
      "identifier": "graphics",
      "name": "graphics"
    },
    "6": {
      "@type": "SoftwareApplication",
      "identifier": "ROCR",
      "name": "ROCR",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=ROCR"
    },
    "7": {
      "@type": "SoftwareApplication",
      "identifier": "stats",
      "name": "stats"
    },
    "8": {
      "@type": "SoftwareApplication",
      "identifier": "stringr",
      "name": "stringr",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=stringr"
    },
    "SystemRequirements": null
  },
  "fileSize": "1219.988KB",
  "citation": [
    {
      "datePublished": "2012",
      "author": [
        {
          "@type": "Person",
          "givenName": "Alexander",
          "familyName": "Brenning"
        }
      ],
      "name": "Spatial cross-validation and bootstrap for the assessment of prediction rules in remote sensing: the R package 'sperrorest'",
      "identifier": "10.1109/igarss.2012.6352393",
      "@id": "https://doi.org/10.1109/igarss.2012.6352393",
      "sameAs": "https://doi.org/10.1109/igarss.2012.6352393"
    }
  ],
  "releaseNotes": "https://github.com/giscience-fsu/sperrorest/blob/master/NEWS.md",
  "readme": "https://github.com/giscience-fsu/sperrorest/blob/main/README.md",
  "contIntegration": [
    "https://github.com/giscience-fsu/sperrorest/actions",
    "https://app.codecov.io/gh/giscience-fsu/sperrorest"
  ],
  "developmentStatus": "https://lifecycle.r-lib.org/articles/stages.html#stable",
  "keywords": [
    "r-package",
    "cross-validation",
    "machine-learning",
    "statistical-learning",
    "spatial-statistics",
    "rstats",
    "spatio-temporal-modeling"
  ]
}

GitHub Events

Total

Watch event: 3
Push event: 101

Last Year

Watch event: 3
Push event: 101

Committers

Last synced: about 2 years ago

All Time

Total Commits: 947
Total Committers: 3
Avg Commits per committer: 315.667
Development Distribution Score (DDS): 0.052

Past Year

Commits: 2
Committers: 1
Avg Commits per committer: 2.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
pat-s	p**z@g**m	898
Alexander Brenning	a**g@u**e	45
github-actions[bot]	4****]	4

Committer Domains (Top 20 + Academic)

uni-jena.de: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 34
Total pull requests: 38
Average time to close issues: about 2 months
Average time to close pull requests: about 13 hours
Total issue authors: 7
Total pull request authors: 2
Average comments per issue: 0.88
Average comments per pull request: 0.53
Merged pull requests: 35
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 0
Pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 0
Pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

pat-s (26)
HenrikBengtsson (2)
alexanderbrenning (2)
phoenix-hy (1)
Aariq (1)
raff-k (1)
edzer (1)

Pull Request Authors

pat-s (37)
fpardourrutia (1)

Top Labels

Issue Labels

bug (11) enhancement (9) feature (3) test (1) branch: dev (1) question (1)

Pull Request Labels

Packages

Total packages: 1
Total downloads:
- cran 1,027 last-month
Total docker downloads: 43,390

Total dependent packages: 1
Total dependent repositories: 4
Total versions: 12
Total maintainers: 1

cran.r-project.org: sperrorest

Perform Spatial Error Estimation and Variable Importance Assessment

Homepage: https://giscience-fsu.github.io/sperrorest/
Documentation: http://cran.r-project.org/web/packages/sperrorest/sperrorest.pdf
License: GPL-3
Latest release: 3.0.5
published about 3 years ago

Versions: 12
Dependent Packages: 1
Dependent Repositories: 4
Downloads: 1,027 Last month
Docker Downloads: 43,390

Rankings

Docker downloads count: 0.6%

Stargazers count: 13.0%

Average: 13.8%

Forks count: 14.3%

Dependent repos count: 14.7%

Dependent packages count: 18.3%

Downloads: 22.0%

Maintainers (1)

alexander.brenning@uni-jena.de

Last synced: 4 months ago

Dependencies

.github/workflows/main.yml actions

actions/checkout v3 composite
actions/upload-artifact v2 composite
pat-s/always-upload-cache v3 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-tinytex v2 composite

.github/workflows/update-tic.yml actions

actions/checkout v3 composite
peter-evans/create-pull-request v4 composite
r-lib/actions/setup-r v2 composite

DESCRIPTION cran

R >= 2.10 depends
ROCR * imports
dplyr * imports
future * imports
future.apply * imports
graphics * imports
stats * imports
stringr * imports
MASS * suggests
knitr * suggests
nnet * suggests
parallel * suggests
ranger * suggests
rmarkdown * suggests
rpart * suggests
sp * suggests
testthat * suggests