tidyrgeoda

The goal of tidyrgeoda is to provide an interface for rgeoda to integrate with sf objects and the tidyverse.

Installation

You can install the development version of tidyrgeoda from github:

# install.packages("devtools")
devtools::install_github("SpatLyu/tidyrgeoda",
                         build_vignettes = T,
                         dep = T)

or install tidyrgeoda from r-universe:

install.packages('tidyrgeoda', 
                 repos = c("https://spatlyu.r-universe.dev",
                           "https://cran.rstudio.com/"),
                 dep = TRUE)

Example

This is a basic example which shows you how to use tidyrgeoda to create a spatial weight matrix and calculate the local_moran:

library(sf)
## Linking to GEOS 3.12.1, GDAL 3.8.4, PROJ 9.3.1; sf_use_s2() is TRUE

library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ ggplot2   3.5.1     ✔ tibble    3.2.1
## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
## ✔ purrr     1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(tidyrgeoda)
## Welcome to tidyrgeoda 0.1.1!

guerry = read_sf(system.file("extdata","Guerry.shp",package = "rgeoda"))
guerry %>% 
  mutate(lisa = st_local_moran(.,'Crm_prs',
                               wt = st_weights(.,'contiguity',queen = T))) %>% 
  select(lisa) -> g_lisa
g_lisa
## Simple feature collection with 85 features and 1 field
## Geometry type: MULTIPOLYGON
## Dimension:     XY
## Bounding box:  xmin: 47680 ymin: 1703258 xmax: 1031401 ymax: 2677441
## Projected CRS: NTF (Paris) / Lambert zone II
## # A tibble: 85 × 2
##    lisa                                                                 geometry
##    <fct>                                                      <MULTIPOLYGON [m]>
##  1 Not significant (((801150 2092615, 800669 2093190, 800688 2095430, 800780 20…
##  2 High-High       (((729326 2521619, 729320 2521230, 729280 2518544, 728751 25…
##  3 High-High       (((710830 2137350, 711746 2136617, 712430 2135212, 712070 21…
##  4 Not significant (((882701 1920024, 882408 1920733, 881778 1921200, 881526 19…
##  5 Not significant (((886504 1922890, 885733 1922978, 885479 1923276, 883061 19…
##  6 Low-Low         (((747008 1925789, 746630 1925762, 745723 1925138, 744216 19…
##  7 Not significant (((818893 2514767, 818614 2514515, 817900 2514467, 817327 25…
##  8 Low-Low         (((509103 1747787, 508820 1747513, 508154 1747093, 505861 17…
##  9 Not significant (((775400 2345600, 775068 2345397, 773587 2345177, 772940 23…
## 10 Low-Low         (((626230 1810121, 626269 1810496, 627494 1811321, 627681 18…
## # ℹ 75 more rows

ggplot(data = g_lisa) +
  geom_sf(aes(fill = lisa),lwd = .1,color = 'grey') +
  scale_fill_lisa()