Skip to main content

A program for splitting a large AOI into smaller tasks.

Project description

FMTM Splitter

HOT

A utility for splitting a polygon onto multiple tasks.

Build CI Build Publish Docs Publish Test Package version Downloads License


📖 Documentation: https://hotosm.github.io/fmtm-splitter/

🖥️ Source Code: https://github.com/hotosm/fmtm-splitter


This is a program to split polygons into tasks using a variety of algorithms. It is a class that can be used by other projects, but also a standalone program. It was originally developed for the FMTM project, but then converted so it can be used by multiple projects.

The class takes GeoJson Polygon as an input, and returns a GeoJson file Multipolygon of all the task boundaries.

Installation

To install fmtm-splitter, you can use pip. Here are two options:

  • Directly from the main branch: pip install git+https://github.com/hotosm/fmtm-splitter.git

  • Latest on PyPi: pip install fmtm-splitter

Using the Container Image

  • fmtm-splitter scripts can be used via the pre-built container images.
  • These images come with all dependencies bundled, so are simple to run.

Run a specific command:

docker run --rm -v $PWD:/data ghcr.io/hotosm/fmtm-splitter:latest fmtm-splitter <flags>

Run interactively (to use multiple commands):

docker run --rm -it -v $PWD:/data ghcr.io/hotosm/fmtm-splitter:latest

Note: the output directory should always be /data/... to persist data.

Split By Square

The default is to split the polygon into squares. The default dimension is 50 meters, but that is configurable. The outer square are clipped to the AOI boundary.

Split By Feature

The split by feature uses highway data extracted from OpenStreetMap, and uses it to generate non square task boundaries. It can also be adjusted to use the number of buildings in a task to adjust it's size.

Split By Feature

Custom SQL query

It is also possible to supply a custom SQL query to generate the tasks.

The fmtm-splitter program

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
-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

This program splits a Polygon (the Area Of Interest) The data source for existing data can'be either the data extract used by the XLSForm, or a postgresql database.

Examples:

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fmtm-splitter-0.2.4.tar.gz (36.8 kB view details)

Uploaded Source

Built Distribution

fmtm_splitter-0.2.4-py3-none-any.whl (47.6 kB view details)

Uploaded Python 3

File details

Details for the file fmtm-splitter-0.2.4.tar.gz.

File metadata

  • Download URL: fmtm-splitter-0.2.4.tar.gz
  • Upload date:
  • Size: 36.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.9.3 CPython/3.10.12

File hashes

Hashes for fmtm-splitter-0.2.4.tar.gz
Algorithm Hash digest
SHA256 e23edaabbc2ab1982a82aea0187bb10820844ea4130522d941f2dc04ddf66d7e
MD5 6276095e13fc5a4ef43643e263551cd9
BLAKE2b-256 3b8b22d72bd5c2c165b3f1e95e649508a1f0a87576a0e13895534bf20409b3a5

See more details on using hashes here.

File details

Details for the file fmtm_splitter-0.2.4-py3-none-any.whl.

File metadata

File hashes

Hashes for fmtm_splitter-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 6ba37e16d291ac09e2a2b31dfe6eb9f122ecae521fec202ef137f7467fb74211
MD5 70fc22fab33d92d746d44c3baf7f20dc
BLAKE2b-256 fc29638e5f5000270d24120643676183f9fab4f949c3ba5ec2d71eb8c259e3f9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page