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Saylac

0.1.3

Spatial Analysis of Yearly, Longitudinal, and Areal Change

0packages depend
375downloads / year
52.0%test coverage
11/13checks pass

Overview

About
Maintained by Abdisalam Hassan MuseFirst published 2026-07-161 releasesCRAN page ↗

Provides the Saylac Shiny application for multidisciplinary analysis of global, national, and regional indicators observed across places and years. SAYLAC abbreviates Spatial Analysis of Yearly, Longitudinal, and Areal Change. The platform supports spatial diagnostics, longitudinal data exploration, time-series diagnostics, comparative forecasting, and automated reporting for development, health, education, economic, environmental, and social indicators. The application implements three connected modules: Spatial Analysis Workflow for exploratory spatial data analysis, Single Model Diagnostics for stationarity testing, trend diagnostics, and comparative forecasting, and Spatial Uncertainty and Reporting Analysis Dashboard for forecast mapping, spatial clustering, and reporting. The application supports choropleth mapping, Moran's I, Geary's C, Local Indicators of Spatial Association, Getis-Ord Gi star statistics, spatial correlograms, Theil-Sen trend estimation, Mann-Kendall testing, Autoregressive Integrated Moving Average models, Exponential Smoothing State Space models, neural network autoregression, BATS, TBATS, theta forecasting, symmetric mean absolute percentage error model comparison, and report generation. The platform was first applied in Touryare and Mohamud (2026) doi:10.1007/s43621-026-04022-x for integrated spatial-temporal forecasting of educational attainment in Eastern Africa toward Sustainable Development Goal 4.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.09
52.0%
Coverage · measured lines
100%
Documentation · exports
22
Dependencies · direct
Check history
  • NOTE2026-07-17
    5 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 229 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

375
CRAN downloads in the past year
Rank #23,920 · ~1/day · ~31/mo
Daily download trend is not available in this view yet.
37530 days
37590 days
3751 year
Compare downloads with other packages →
Also on4 r2u

Dependencies

Declared dependencies
24 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.2.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

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

1 release. R releases are shown for context.

  • 0.1.3Latest
    2026-07-16 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-16
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.2.0
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Saylac")
Muse, A. H. (2026). Saylac: Spatial Analysis of Yearly, Longitudinal, and Areal Change (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.Saylac

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 Saylac version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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