I want to import a very large geojson into a simple features object using st_read in R, however the hardware demands seem to be large when converting from geojson to sf. for example, importing the microsoft data for building footprints for Ohio (https://github.com/Microsoft/USBuildingFootprints) which is a 1.2 GB geojson eats up over 32 GB of RAM when converting. Is their a method for iterating through rows of a geojson in a function so I can import parts of the whole file without eating up all that RAM, similar to skip rows in read.csv?
Using library(geojsonsf) seems to work without issue on my Mac with 16gb RAM
library(geojsonsf)
library(sf)
sf <- geojsonsf::geojson_sf("~/Downloads/Ohio.geojson")
sf
# Simple feature collection with 5449419 features and 0 fields
# geometry type: POLYGON
# dimension: XY
# bbox: xmin: -84.82027 ymin: 38.40334 xmax: -80.51887 ymax: 41.97041
# epsg (SRID): 4326
# proj4string: +proj=longlat +datum=WGS84 +no_defs
# First 10 features:
# geometry
# 1 POLYGON ((-84.81222 39.9087...
# 2 POLYGON ((-84.80084 39.8882...
# 3 POLYGON ((-84.78565 39.8811...
# 4 POLYGON ((-84.7373 39.9014,...
# 5 POLYGON ((-84.73916 39.8980...
# 6 POLYGON ((-84.80422 39.8646...
# 7 POLYGON ((-84.80025 39.8592...
# 8 POLYGON ((-84.79336 39.8593...
# 9 POLYGON ((-84.79268 39.8604...
# 10 POLYGON ((-84.80194 39.8639...
来源：https://stackoverflow.com/questions/52899355/using-st-read-to-import-large-geojson-in-iterations-r