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geomodels-page

https://github.com/vmoprojs/geomodels-page

Science Score: 39.0%

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
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
    Found 2 DOI reference(s) in README
  • ○
    Academic publication links
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: vmoprojs
  • Language: HTML
  • Default Branch: master
  • Size: 67.2 MB
Statistics
  • Stars: 4
  • Watchers: 2
  • Forks: 4
  • Open Issues: 0
  • Releases: 0
Created over 8 years ago · Last pushed 11 months ago
Metadata Files
Readme

README.md

title: "GeoModels Packakge" date: ""

output: md_document

GeoModels: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis

GeoModels Package

The GeoModels package provides a set of procedures for simulation, estimation and prediction of spatio-temporal random fields.

Main Features

Types of Data Modeled

  • Spatial data
  • Space-time data with spatial location sites possibly changing over time
  • Bivariate spatial data with (possibly different) spatial location sites

Data Domain

  • Euclidean space
  • Sphere of arbitrary radius

Marginal Distributions of Random Fields

Continuous distributions (supported on the whole real line)

  • Gaussian
  • Skew-Gaussian
  • Student T
  • Logistic
  • Sinh-arcsinh
  • Two-piece

Positive continuous distributions

  • Gamma
  • Weibull
  • LogGaussian
  • LogLogistic

Discrete distributions

  • Binomial
  • Negative Binomial
  • Poisson

Circular distributions

  • Wrapped-Gaussian

Parametric Models

  • For regression and dependence analysis through covariance models

Covariance Models

  • Parametric (bivariate) spatial and spatiotemporal models, including:
    • Matern
    • Generalized Wendland
    • Gneiting model
    • Bivariate Matern

Estimation Methods

  • Composite likelihood based on pairs (optional parallel computation with OpenCL)
  • Full likelihood (when feasible)

Prediction

  • Optimal (local) linear prediction (kriging)

Webpage

  • Visit our website for more information: link

  • Please report any bugs, suggestions and/or improvements: link

  • CRAN: https://doi.org/10.32614/CRAN.package.GeoModels

Owner

  • Name: vmoraleso
  • Login: vmoprojs
  • Kind: user
  • Location: Pelileo, Ecuador

Interested in real world applications, high performance computing, spatiotemporal statistics, machine learning, quantitative economy and philosophy.

GitHub Events

Total
  • Push event: 11
Last Year
  • Push event: 11

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 410
  • Total Committers: 2
  • Avg Commits per committer: 205.0
  • Development Distribution Score (DDS): 0.041
Top Committers
Name Email Commits
vmoprojs v****s@u****l 393
VMO v****s@M****l 17
Committer Domains (Top 20 + Academic)
uv.cl: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total 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
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
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Issue Authors
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 802 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 2
  • Total versions: 39
  • Total maintainers: 1
cran.r-project.org: GeoModels

Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis

  • Versions: 39
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 802 Last month
Rankings
Forks count: 12.3%
Dependent repos count: 19.4%
Average: 22.0%
Stargazers count: 23.7%
Downloads: 25.5%
Dependent packages count: 29.0%
Maintainers (1)
moreno.bevilacqua89@gmail.com
Last synced: 11 months ago