Created
August 15, 2019 18:44
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Using sf and tidyverse to get weighted mean of neighbors for all columns
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library(tidyverse) | |
library(sf) | |
st_queen <- function(a, b = a){ | |
st_relate(a, b, pattern = "F***T****") | |
} | |
new_data <- original_data %>% | |
mutate(neighbors = st_queen(.)) %>% | |
st_drop_geometry() %>% | |
select(unit_id, neighbors) %>% | |
tidyr::unnest(neighbors) %>% | |
mutate(neighbor_id = original_data$unit_id[neighbors]) %>% | |
left_join(original_data, by = c("neighbor_id"="unit_id")) %>% | |
select(-neighbors, -neighbor_id) %>% | |
group_by(unit_id) %>% | |
summarize_all(~mean(.)) %>% | |
left_join(original_data, by = "unit_id") |
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