geosimilarity
3.9Geographically Optimal Similarity
Overview
Understanding spatial association is essential for spatial statistical inference, including factor exploration and spatial prediction. Geographically optimal similarity (GOS) model is an effective method for spatial prediction, as described in Yongze Song (2022) doi:10.1007/s11004-022-10036-8. GOS was developed based on the geographical similarity principle, as described in Axing Zhu (2018) doi:10.1080/19475683.2018.1534890. GOS has advantages in more accurate spatial prediction using fewer samples and critically reduced prediction uncertainty.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 33%
Downloads
Repository
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Repository practices
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/ausgis/geosimilarity on 2026-07-31.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
10 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 3.9Latest
- 3.82025-09-23 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 3.72024-10-17 · diff ↗
- 3.62024-09-29 · diff ↗
- 3.32024-09-15 · diff ↗
- 3.22024-09-08 · diff ↗
- 3.12024-08-29 · diff ↗
- 3.02024-08-21 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 2.22022-11-08 · diff ↗
- 1.12022-05-17
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-05-17
- Total releases
- 10 / 4 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 915 KB / 2 files
- Download size
- 1.4 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet