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Spatial Misalignment: Interpolation, Linkage, and Estimation
Provides functions to estimate, predict and interpolate areal data. For estimation and prediction we assume areal data is an average of an underlying continuous spatial process as in Moraga et al. (2017) doi:10.1016/j.spasta.2017.04.006, Johnson et al. (2020) doi:10.1186/s12942-020-00200-w, and Wilson and Wakefield (2020) doi:10.1093/biostatistics/kxy041. The interpolation methodology is (mostly) based on Goodchild and Lam (1980, ISSN:01652273).
- Version1.0.5
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-US
- Last release06/14/2024
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Team
Lucas da Cunha Godoy
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- Imports5 packages
- Suggests4 packages
- Linking To2 packages