From c72d94a0a07fe7f2f36028eb7d7f9f79748ec9cf Mon Sep 17 00:00:00 2001 From: SpatLyu Date: Mon, 14 Apr 2025 11:11:56 +0800 Subject: [PATCH 1/2] Add gdverse package to Spatial Task View --- Spatial.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/Spatial.md b/Spatial.md index 40140db..4fe7bc5 100644 --- a/Spatial.md +++ b/Spatial.md @@ -744,6 +744,8 @@ calculated rates that are comparable both in terms of levels and uncertainty. designed to be compatible with both base R and with the tidymodels modeling framework, and adopt `r pkg("yardstick")` classes and interfaces. +- The `r pkg("gdverse")` package provides an integrated and extensible toolkit for analyzing spatial stratified heterogeneity and spatial associations using the geographical detector methodology. It includes core functions for computing the q-statistic, performing spatial + factor exploration, and modeling spatial interactions between variables. The package supports various geographical detector models and provides high-performance implementations for their efficient execution. ### Spatial regression From bbb6f070e1a079aad7c9ed21b3b2a7ea6b8bfee2 Mon Sep 17 00:00:00 2001 From: SpatLyu Date: Mon, 14 Apr 2025 11:23:15 +0800 Subject: [PATCH 2/2] Proper formatting --- Spatial.md | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/Spatial.md b/Spatial.md index 4fe7bc5..96b7407 100644 --- a/Spatial.md +++ b/Spatial.md @@ -744,8 +744,13 @@ calculated rates that are comparable both in terms of levels and uncertainty. designed to be compatible with both base R and with the tidymodels modeling framework, and adopt `r pkg("yardstick")` classes and interfaces. -- The `r pkg("gdverse")` package provides an integrated and extensible toolkit for analyzing spatial stratified heterogeneity and spatial associations using the geographical detector methodology. It includes core functions for computing the q-statistic, performing spatial - factor exploration, and modeling spatial interactions between variables. The package supports various geographical detector models and provides high-performance implementations for their efficient execution. +- The `r pkg("gdverse")` package provides + an integrated and extensible toolkit for analyzing spatial stratified heterogeneity + and spatial associations using the geographical detector methodology. It includes + core functions for computing the q-statistic, performing spatial factor exploration, + and detecting spatial interactions between variables. The package supports various + geographical detector models and provides high-performance implementations for their + efficient execution. ### Spatial regression