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spatgeom

https://github.com/maikol-solis/spatgeom

Science Score: 39.0%

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Last synced: 10 months ago · JSON representation

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Basic Info
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  • Stars: 0
  • Watchers: 1
  • Forks: 1
  • Open Issues: 3
  • Releases: 3
Created almost 5 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog License

README.md

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Geometric goodness of fit

Description

The spatgeom package provides goodness-of-fit tests for spatial point process models. The spatgeom package provides the implementation to perform the geometric spatial point analysis developed in Hernández & Solís (2022) doi:10.1007/s00180-022-01244-1. It estimates the geometric goodness-of-fit index for a set of variables against a response one based on the 'sf' package. The package has methods to print and plot the results.

Installation

The package is currently available on CRAN and can be installed using:

r install.packages("spatgeom")

and loaded using the following command:

r library(spatgeom)

Usage

Estimating the geometric goodness-of-fit index

The package has one main function spatgeom that takes as input a set of variables and a response one.

For example, this is how you can use the package to estimate the geometric goodness-of-fit index with a set of variables in a donut shape against a response one:

```r xy <- donut_data(n = 100, a = -1, b = 1, theta = 2 * pi) estimation <- spatgeom(y = xy[, 1], x = xy[, -1])

```

The package allow to estimate the envelope of the curve using the parameter envelope=TRUE:

r estimation <- spatgeom(y = xy[, 1], x = xy[, -1], envelope = TRUE)

In the example, the estimation object is a list of class spatgeom with the following elements:

  • call: The function call.
  • x: x input.
  • y: y output.
  • results: A list of size ncol(x) corresponding to each column of x. Each element of the list has:
    • triangles: a data frame of class sfc (see [sf::st_sf()])with columns geometry, segments, maxlength and alpha. The data.frame contains the whole Delanauy triangulation for the corresponding column of x and y. The segments column are the segments of each individual triangle and maxlength is the maximum length of them.
    • geom_indices: a data frame with columns alpha and geomcorr. The alpha column is a numeric vector of size nalphas from the minimum to the maximum distance between points estimated in the data. The geomcorr column is the value 1 - (alpha shape Area)/(containing box Area).
    • intensity: the intensity estimated for the corresponding column of x and y.
    • mean_n: the mean number of points in the point process.
    • envelope_data: a data frame in tidy format with 40 runs of a CSR process, if envelope=TRUE, The CSR is created by generating n uniform points in the plane, where n is drawn from Poisson distribution with parameter mean_n.

Printing and plotting the results

The package has a print method for objects of class spatgeom:

r print(estimation)

and a plot method for objects of class spatgeom. The plot method has two options: curve and deriv. The curve option plots the curve of of the goodness-of-fit index. The deriv option plots the numerical derivative.

r plot_curve(estimation, type = "curve") plot_curve(estimation, type = "deriv")

Citation

If you use the spatgeom package in your work, please cite the following paper:

  • Hernández, D. and Solís, F. (2022). Geometric goodness-of-fit tests for spatial point process models. Statistics and Computing, 32(1), 1-19. doi:10.1007/s00180-022-01244-1

  • Solís, M., Hernández, A., & Pasquier, C. (2023). spatgeom: Geometric Spatial Point Analysis (0.3.0). https://cran.r-project.org/web/packages/spatgeom/index.html

License

This package is free and open source software, licensed under MIT License. See the LICENSE file for details.

Owner

  • Name: Maikol Solís
  • Login: maikol-solis
  • Kind: user
  • Location: San Jose, Costa Rica
  • Company: Universidad de Costa Rica

GitHub Events

Total
  • Delete event: 2
  • Push event: 7
  • Pull request review event: 2
  • Pull request review comment event: 2
  • Pull request event: 4
  • Create event: 1
Last Year
  • Delete event: 2
  • Push event: 7
  • Pull request review event: 2
  • Pull request review comment event: 2
  • Pull request event: 4
  • Create event: 1

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 73
  • Total Committers: 1
  • Avg Commits per committer: 73.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Maikol Solís m****s@u****r 73
Committer Domains (Top 20 + Academic)
ucr.ac.cr: 1

Issues and Pull Requests

Last synced: almost 2 years ago

All Time
  • Total issues: 1
  • Total pull requests: 9
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 months
  • Total issue authors: 1
  • Total pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.11
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 4
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 months
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 2
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Top Authors
Issue Authors
  • maikol-solis (1)
Pull Request Authors
  • pre-commit-ci[bot] (10)
  • maikol-solis (2)
  • EdgarHernandezAvila (2)
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 174 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 3
  • Total maintainers: 1
cran.r-project.org: spatgeom

Geometric Spatial Point Analysis

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 174 Last month
Rankings
Forks count: 21.9%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Average: 35.3%
Dependent repos count: 35.5%
Downloads: 54.4%
Maintainers (1)
maikol.solis@ucr.ac.cr
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.6.0 depends
  • cowplot * imports
  • dplyr * imports
  • ggplot2 * imports
  • lwgeom * imports
  • purrr * imports
  • scales * imports
  • sf * imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 2.1.0 suggests