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tejoR

0.2.2Package record

Statistical Harmonization of Territorial Series Across Changing Geographies

0packages depend
532downloads / year
80.7%test coverage
13/13flavors OK

Overview

About

Builds, validates, seals and applies weighting matrices ('crosswalks') to carry statistical series across changing zoning systems, such as the transition from the 112 Unidades de Planeamiento Zonal (UPZ) to the 33 Unidades de Planeamiento Local (UPL) in Bogota (Decree 555 of 2021). Implements the 'tejo-crosswalk/0.2' specification shared with the 'Python' package 'tejo': 'sha256'-sealed artifacts, non-negative weights that sum to one for each source unit, dasymetric weighting with vector ancillary data via 'sf', rates that are never interpolated directly, and missing values that propagate instead of being silently imputed. Methods: Tobler (1979) doi:10.1080/01621459.1979.10481647; Mennis (2003) doi:10.1111/0033-0124.10042. Descripcion en espanol: construye, valida, sella y aplica matrices de ponderadores ('crosswalks') para trasladar series estadisticas entre mallas geograficas que cambian, como la transicion de UPZ a UPL en Bogota (Decreto 555 de 2021): integridad por 'sha256', pesos no negativos que suman uno por unidad fuente, metodo dasimetrico con ancilar vectorial via 'sf', tasas que nunca se interpolan directamente y valores faltantes que se propagan en lugar de imputarse.

Install

Health

CRAN checks
13OK
Slowest check: 1.0 min · r-devel-windows-x86_64
Status changes
  • OK13 OKNow
  • OK7 OK2026-08-07
Advisories

none known

Documentation

In release 0.2.2
READMEYes · 114 wordsVignettesNoNEWSNoCitation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
82%
Return-value docs
100%
Help pages citing references
0%

Downloads

532
CRAN downloads in the past year
Rank #23,947 · ~1/day · ~44/mo
Daily download trend is not available in this view yet.
15230 days
53290 days
5321 year
Compare downloads with other packages →
Also on13 r2u2 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-07-17
Responsiveness
not measured
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/adrigr52/tejor on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

CRAN release process (1)
cran-comments.md
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v4 (2026-10-20)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-07-17
    Commits: at least 1 crediting it in the message
Models named in its commits
  • Claude Opus 4.81 commit · Jul 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing tejoR adds 11 packages (10 with compiled code, 18 MB of source tarballs). Heaviest: sf 9.3 MB, s2 2.8 MB, Rcpp 1.8 MB.

Depends (1)
R >= 4.1.0
Imports (5)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.2.2 (2026)
Releases (1)
  • 0.2.2Latest
    2026-08-06 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-06
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
13 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("tejoR")

The package provides a citation file, so citation() returns the authors' own entry.

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 tejoR version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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