-
Notifications
You must be signed in to change notification settings - Fork 2
usage
svcfmtm edited this page Dec 4, 2023
·
4 revisions
This program splits a Polygon AOI into tasks using a varity of algorithms.
options:
-h, --help show this help message and exit
-v, --verbose verbose output
-o OUTFILE, --outfile OUTFILE
Output file from splitting
-m METERS, --meters METERS
Size in meters if using square splitting
-number NUMBER, --number NUMBER
Number of buildings in a task
-b BOUNDARY, --boundary BOUNDARY
Polygon AOI
-s SOURCE, --source SOURCE
Source data, Geojson or PG:[dbname]
-c CUSTOM, --custom CUSTOM
Custom SQL query for database
-db DATABASE, --dburl DATABASE
The database url string to custom sql
The data source for existing data can be either the data extract used by the XLSForm, or a postgresql database.
fmtm-splitter -b AOI
fmtm-splitter -v -b AOI -s data.geojson
fmtm-splitter -v -b AOI -s PG:colorado
Where AOI is the boundary of the project as a polygon And OUTFILE is a MultiPolygon output file,which defaults to fmtm.geojson The task splitting defaults to squares, 50 meters across. If -m is used then that also defaults to square splitting.
fmtm-splitter -b AOI -c custom.sql
This will use a custom SQL query for splitting by map feature, and adjust task sizes based on the number of buildings.
fmtm-splitter -b "/path/to/aoi.geojson" \
-db "postgresql://myuser:mypass@myhost:5432/mydb" \
-number 10 -e "/path/to/extract.geojson"
from fmtm_splitter.splitter import split_by_square
features = split_by_square(
"path/to/your/file.geojson",
meters=100,
)
import geojson
from fmtm_splitter.splitter import split_by_features
aoi_json = geojson.load("/path/to/file.geojson")
# Dump string to show that passing string json is possible too
split_geom_json = geojson.dumps(geojson.load("/path/to/file.geojson"))
features = split_by_features(
aoi_json,
split_geom_json,
)
import geojson
from fmtm_splitter.splitter import split_by_sql
aoi_json = geojson.load("/path/to/file.geojson")
extract_json = geojson.load("/path/to/file.geojson")
features = split_by_sql(
aoi_json,
"postgresql://myuser:mypass@myhost:5432/mydb",
num_buildings=10,
osm_extract=extract_json,
)