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polish readme and description #88

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2 changes: 1 addition & 1 deletion DESCRIPTION
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Expand Up @@ -6,7 +6,7 @@ Authors@R:
email = "lyu.geosocial@gmail.com",
role = c("aut", "cre", "cph"),
comment = c(ORCID = "0009-0002-6003-3800"))
Description: Infer causation from observational data through pattern causality analysis (PC), with original algorithm for time series data from Stavroglou et al. (2020) <doi:10.1073/pnas.1918269117>, as well as methodological extensions for spatial cross-sectional data introduced by Zhang & Wang (2025) <doi:10.1080/13658816.2025.2581207>, together with a systematic description proposed in Lyu et al. (2026) <doi:10.1016/j.compenvurbsys.2026.102435>.
Description: Unveil interactions in complex systems through pattern causality analysis (PC), with the original algorithm for time series data by Stavroglou et al. (2020) <doi:10.1073/pnas.1918269117>, as well as methodological extensions for spatial cross-sectional data introduced by Zhang & Wang (2025) <doi:10.1080/13658816.2025.2581207>, together with a systematic description detailed in Lyu et al. (2026) <doi:10.1016/j.compenvurbsys.2026.102435>.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/pc/, https://github.com/stscl/pc
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -18,7 +18,7 @@

***P**attern **C**ausality Analysis*

*pc* is an R package for pattern-based causality analysis in both time series and spatial cross-sectional data. It uses symbolic pattern representations and cross mapping to detect directional interactions and infer causal structure from temporal dynamics and spatial snapshots. Built on a high-performance C++ backend with a lightweight R interface, *pc* provides efficient and flexible tools for data-driven causality analysis.
*pc* is an R package for pattern-based causality analysis in both time series and spatial cross-sectional data. It uses phase space reconstruction and symbolic pattern projection to unveil causal interactions from temporal dynamics and spatial variations. Built on a high-performance C++ backend with a lightweight R interface, *pc* provides efficient and flexible tools for data-driven causality analysis.

> *Refer to the package documentation <https://stscl.github.io/pc/> for more detailed information.*

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