# select.PATH <- function(x, ...) {
# x$object <- dpylr::select(x$object, ...)
# x
# }
filter.PATH <- function(x, ...) {
x$object <- dplyr::filter(x$object, ...)
anglr:::semi_cascade(x, tables = c("object", "path", "path_link_vertex", "vertex"))
}
filter.PATH(p, AREA > 0.124)
library(ggplot2)
library(dplyr)
plot.PATH <- function(x, ...) {
ggplot(purrr::reduce(x[c("object", "path", "path_link_vertex", "vertex")], inner_join)) +
geom_polygon(aes(x_, y_, fill = object_, group = path_)) + guides(colour = FALSE, fill = FALSE)
}
plot(filter(g, PERIMETER > 1.5))
library(dplyr)
read_shp <- function(pattern, ext = NULL) {
out <- sf::read_sf(raadfiles::thelist_files(format = "shp", pattern = pattern) %>%
pull(fullname)) #%>% silicate::PATH()
if (!is.null(ext)) {
out <- st_intersection(out, ext)
}
out
}
#ex <- drawExtent()
ex <- st_as_sf(as(ex, "SpatialPolygons"))
st_crs(ex) <- st_crs("+proj=utm +zone=55 +south +ellps=GRS80 +units=m +no_defs")
parcels <- read_shp("parcels_hobart", ex)
contours <- read_shp("5m_contours_hobart", ex)
parcels <- st_cast(parcels, "MULTIPOLYGON")
library(anglr)
a <- anglr(parcels, z = "MEAS_AREA")
b <- anglr(contours, z = "ELEVATION")
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