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SpatialDownscaling

0.1.2

Methods for Spatial Downscaling Using Deep Learning

0packages depend
1.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Mika SipiläFirst published 2026-01-261 releasesCRAN page ↗

The aim of the spatial downscaling is to increase the spatial resolution of the gridded geospatial input data. This package contains two deep learning based spatial downscaling methods, super-resolution deep residual network (SRDRN) (Wang et al., 2021 doi:10.1029/2020WR029308) and UNet (Ronneberger et al., 2015 doi:10.1007/978-3-319-24574-4_28), along with a statistical baseline method bias correction and spatial disaggregation (Wood et al., 2004 doi:10.1023/B:CLIM.0000013685.99609.9e). The SRDRN and UNet methods are implemented to optionally account for cyclical temporal patterns in case of spatio-temporal data. For more details of the methods, see Sipilä et al. (2025) doi:10.48550/arXiv.2512.13753.

Install

Health

CRAN checks
13OK
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 476 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
33%
Documented parameters
98%
Return-value docs
100%
References docs
29%

Downloads

1.3K
CRAN downloads in the past year
Rank #20,148 · ~4/day · ~111/mo
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19130 days
54890 days
1.3K1 year
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Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.4.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (5)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (5)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.2Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-01-26
Total releases
1 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 4.4.0
Bundled data
1.6 MB / 1 file
Download size
1.6 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SpatialDownscaling")
Sipilä, M., Cappello, C., De Iaco, S., Nordhausen, K., & Taskinen, S. (2026). SpatialDownscaling: Methods for Spatial Downscaling Using Deep Learning (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.SpatialDownscaling

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 SpatialDownscaling version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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