Package: ArchipelagoEngine 0.1.1

ArchipelagoEngine: Spatial Weight Construction for Archipelagic Geographies
Implements specialized K-Nearest Neighbor (KNN) logic to address the unique challenges of spatial modeling in archipelagic environments. Standard contiguity models often leave significant portions of island nations (e.g., 20% of the Philippines) mathematically isolated. This package provides tools to ensure 100% network connectivity, neutralizing spatial bias and enabling robust econometric inference. Methodology follows Anselin (1988, ISBN:9024737354) and LeSage and Pace (2009) <doi:10.1201/9781420064254>.
Authors:
ArchipelagoEngine_0.1.1.tar.gz
ArchipelagoEngine_0.1.1.zip(r-4.7-any)ArchipelagoEngine_0.1.1.zip(r-4.6-any)ArchipelagoEngine_0.1.1.zip(r-4.5-any)
ArchipelagoEngine_0.1.1.tgz(r-4.6-any)ArchipelagoEngine_0.1.1.tgz(r-4.5-any)
ArchipelagoEngine_0.1.1.tar.gz(r-4.7-any)ArchipelagoEngine_0.1.1.tar.gz(r-4.6-any)
ArchipelagoEngine_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ArchipelagoEngine/json (API)
| # Install 'ArchipelagoEngine' in R: |
| install.packages('ArchipelagoEngine', repos = c('https://pinasr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pinasr/archipelagoengine/issues
- raw_data - Philippine Provincial Map
spatial-econometricsarchipelagoconnectivityphilippinesmaritime-logisticsisland
Last updated from:fe5671353d. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 138 | ||
| source / vignettes | OK | 187 | ||
| linux-release | NOTE | 134 | ||
| macos-release | NOTE | 127 | ||
| macos-oldrel | NOTE | 162 | ||
| windows-devel | NOTE | 83 | ||
| windows-release | NOTE | 65 | ||
| windows-oldrel | NOTE | 92 | ||
| wasm-release | OK | 139 |
Exports:build_archipelago_weight
Dependencies:bootclassclassIntDBIdeldire1071KernSmoothlatticemagrittrproxyRcpps2sfspspDataspdepunitswk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Build Archipelagic Spatial Weights | build_archipelago_weight |
| Philippine Provincial Map (81 Provinces) | raw_data |
