BMEmapping
2.0.0Spatial Interpolation using Bayesian Maximum Entropy (BME)
Overview
Provides an accessible and robust implementation of core BME methodologies for spatial prediction. It enables the systematic integration of heterogeneous data sources including both hard data (precise measurements) and soft interval data (bounded or uncertain observations) while incorporating prior knowledge and supporting variogram-based spatial modeling. The BME methodology is described in Christakos (1990) doi:10.1007/BF00890661, Serre and Christakos (1999) doi:10.1007/s004770050029 and Duah (2025, 2026) doi:10.1016/j.spasta.2026.100974.
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- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- 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
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- Documented parameters
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- Return-value docs
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- References docs
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Package metadata
- First published
- 2025-05-13
- Total releases
- 5 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 16 KB / 2 files
- Download size
- 131 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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