sigmafelix.r-universe.dev

[sigmafelix] tidycensuskr 0.2.8

geoissong@snu.ac.kr (Insang Song) — Mon, 04 May 2026 07:36:02 GMT

Census and administrative data in South Korea are a basic source of quantitative and mixed-methods research for social and urban scientists. This package provides a 'sf' (Pebesma et al., 2024 ) based standardized workflow based on direct open API access to the major census and administrative data sources and pre-generated files in South Korea.

[sigmafelix] gopher 0.5.1

geoissong@gmail.com (Insang Song) — Sat, 02 May 2026 14:55:04 GMT

A gateway to various Gaussian Process (GP) packages available on CRAN, including gstat, fields, GPvecchia, spNNGP, and PrestoGP. Provides a unified tidymodels-native interface through parsnip for model parameter adjustment and hyperparameter tuning. Supports spatial-only and spatiotemporal Kriging, sf inputs, prediction capabilities, and covariates for residual Gaussian Process (Universal Kriging) models. Parameters are automatically matched between the unified Kriging-centered argument names in gstat and the formulaic arguments used in other packages for the same construct.

[sigmafelix] autoSTK 2.1.2

geoissong@gmail.com (Insang Song) — Thu, 23 Apr 2026 02:05:45 GMT

Automatic spatio-temporal Kriging extending the automap package (Hiemstra et al. 2010). Provides automatic variogram model fitting with data-driven initial parameter estimation (practical-range based) and multiple optimisers: L-BFGS-B with multi-start, LHS grid search, Simulated Annealing (SANN), and Genetic Algorithm (via the GA package or built-in Differential Evolution fallback). Covariance structure selection via AIC/BIC or cross-validation, and spatiotemporal prediction via gstat. Input classes sf, sftime, spacetime ST*DF, and cubble are all supported. Four cross-validation strategies for spatiotemporal data are implemented.

[ropensci] chopin 0.9.9-5

geoissong@gmail.com (Insang Song) — Fri, 03 Apr 2026 12:01:51 GMT

Geospatial data computation is parallelized by grid, hierarchy, or raster files. Based on 'future' (Bengtsson, 2024 ) and 'mirai' (Gao et al., 2025 ) parallel back-ends, 'terra' (Hijmans et al., 2025 ) and 'sf' (Pebesma et al., 2024 ) functions as well as convenience functions in the package can be distributed over multiple threads. The simplest way of parallelizing generic geospatial computation is to start from par_pad_*() functions to par_grid(), par_hierarchy(), or par_multirasters() functions. Virtually any functions accepting classes in 'terra' or 'sf' packages can be used in the three parallelization functions. A common raster-vector overlay operation is provided as a function extract_at(), which uses 'exactextractr' (Baston, 2023 ), with options for kernel weights for summarizing raster values at vector geometries. Other convenience functions for vector-vector operations including simple areal interpolation (summarize_aw()) and summation of exponentially decaying weights (summarize_sedc()) are also provided.

[sigmafelix] tidycensuskr.sf 0.1.4

geoissong@snu.ac.kr (Insang Song) — Sun, 23 Nov 2025 06:54:52 GMT

This file-only package provides district boundaries by censal years for use with the tidycensuskr package. It contains spatial boundary data (sf objects) for South Korean administrative districts from census years 2010, 2015, and 2020.