fmtm-splitter

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.

Examples

Via Command Line

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.

With Custom Query

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.

Using FMTM Splitting Algorithm

fmtm-splitter -b "/path/to/aoi.geojson" \
    -db "postgresql://myuser:mypass@myhost:5432/mydb" \
    -number 10 -e "/path/to/extract.geojson"

Via API

Split By Square

from fmtm_splitter.splitter import split_by_square

features = split_by_square(
    "path/to/your/file.geojson",
    meters=100,
)

Split By Features

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,
)

Split By SQL

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,
)

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Last update: August 9, 2024