R Observatory: Metrics for geoTS version 0.1.10

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

geoTS

0.1.10Package record

Methods for Handling and Analyzing Time Series of Satellite Images

1packages depend

3.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Inder Tecuapetla-GómezCRAN page ↗

Provides functions and methods for: splitting large raster objects into smaller chunks, transferring images from a binary format into raster layers, transferring raster layers into an 'RData' file, calculating the maximum gap (amount of consecutive missing values) of a numeric vector, and fitting harmonic regression models to periodic time series. The homoscedastic harmonic regression model is based on G. Roerink, M. Menenti and W. Verhoef (2000) doi:10.1080/014311600209814.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("geoTS", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-geots

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-geoTS

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-geoTS

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.10

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 13includes a package overview page
Examples that run: 40%2 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 63%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 15%

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #13,736 · ~9/day · ~273/mo

Releases R versions

Daily download trend is not available in this view yet.

29230 days

84990 days

3.3K1 year

Compare downloads with other packages →

Also on75 r2u6 autocran

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing geoTS adds 11 packages (7 with compiled code, 12 MB of source tarballs). Heaviest: sp 4.3 MB, robustbase 2.2 MB, Rcpp 1.8 MB.

Depends (2)

R >= 3.5.0raster

Imports (6)

doParallel ff foreachparallelrobustbase sp

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Depends 1

Depends, Imports or LinkingTo, most downloaded first

sta

How these are counted

Code & Tests

Datasets

People & History

People (1)

Inder Tecuapetla-Gómez

Author, Maintainer since 0.1.3 (2020)

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.1.10Latest
record
2025-08-28 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.1.8
record
2022-11-17 · diff ↗ ·
added 2 exports
hetervar, raster_intersect_sp
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
0.1.3
record
2020-03-06
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2020-03-06
Total releases: 3 / 6 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 1.6 KB / 1 file
Download size: 721 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("geoTS")

Format

Tecuapetla-Gómez, I. (2025). geoTS: Methods for Handling and Analyzing Time Series of Satellite Images (Version 0.1.10) [Computer software]. https://doi.org/10.32614/CRAN.package.geoTS

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for geoTS version 0.1.10 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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