Nothing
test_that("crosswalks are formatted correctly", {
cross = pl_crosswalk("RI", 2010, 2020)
expect_equal(names(cross), c("GEOID", "GEOID_to", "area_land", "area_water", "int_land"))
expect_gte(min(cross$int_land), 0)
expect_lte(max(cross$int_land), 1)
})
test_that("crosswalks are reaggregated correctly", {
test_d = expand.grid(row=1:4, col=1:4) %>%
dplyr::as_tibble() %>%
mutate(GEOID_from = case_when(row == 1 ~ "440A",
col == 1 ~ "440B",
row == 2 ~ "440C",
row == 4 ~ "440D",
TRUE ~ str_c("440", row, col)),
GEOID_to = case_when(col == 1 ~ "440A",
row == 1 ~ "440B",
row == 3 ~ "440C",
row == 4 ~ "440D",
TRUE ~ str_c("440", row, col)),
pop = row) %>%
group_by(GEOID_from) %>%
mutate(area_from = n(),
pop_from = sum(pop)) %>%
group_by(GEOID_to) %>%
mutate(area_to = n(),
pop_to = sum(pop)) %>%
group_by(GEOID_from, GEOID_to) %>%
summarize(pop_from = pop_from[1],
pop_to = pop_to[1],
int_land = n() / area_from[1],
area_land = as.double(area_to[1]),
area_water = 0.0,
.groups="drop")
pop_d_from = select(test_d, GEOID=GEOID_from, pop=pop_from) %>%
dplyr::distinct()
pop_d_to = select(test_d, GEOID=GEOID_to, area_land, area_water, pop=pop_to) %>%
dplyr::distinct()
crosswalk = select(test_d, GEOID=GEOID_from, GEOID_to,
int_land, area_land, area_water)
expect_equal(arrange(pl_retally(pop_d_from, crosswalk), GEOID),
arrange(pop_d_to, GEOID))
})
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