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GenPlanner is a territorial zoning engine for generating spatially consistent territorial zones (and optionally blocks) from polygonal territories.

It combines:

• ratio-based functional zoning

• adjacency constraints via relation matrices

• optional fixed spatial anchors

• integration of existing zones

• road-based splitting

• MILP-based multi-feature allocation

• geometric optimization via Voronoi splitting

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Quickstart

Installation

pip install genplanner

Minimal example

import geopandas as gpd
from genplanner import GenPlanner
from genplanner.zones import basic_func_zone

territory = gpd.read_file("territory.geojson")

gp = GenPlanner(features_gdf=territory)

zones, roads = gp.features2terr_zones(
    funczone=basic_func_zone
)

Generate blocks

blocks, roads = gp.features2terr_zones2blocks(
    funczone=basic_func_zone
)

With relation constraints

zones, roads = gp.features2terr_zones(
    relation_matrix="default"
)

With fixed anchor points

from shapely.geometry import Point
from genplanner.zones import default_terr_zones

fix_points = gpd.GeoDataFrame(
    {
        "fixed_zone": [default_terr_zones.residential_terr],
        "geometry": [Point(30.1, 59.9)],
    },
    crs=territory.crs,
)

zones, roads = gp.features2terr_zones(
    terr_zones_fix_points=fix_points
)

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Documentation

Guide

• GenPlanner
  • Conceptual pipeline
  • Minimal example
  • Relation matrix
  • Fixed zone anchor points
  • Existing zones integration
  • Full example with roads, exclusions, existing zones and fixed anchors
  • Parallel execution
  • Logging
  • Returned objects
  • API reference
• Zoning Primitives
  • Overview
  • Zone (abstract base)
  • BasicZone
  • TerritoryZoneKind
  • TerritoryZone
  • FunctionalZone
  • Preset zones
  • Using zones with GenPlanner
  • API reference
• Zone Relations
  • Relation values
  • ZoneRelationMatrix
  • Using with GenPlanner
  • API reference
• Errors
  • Error hierarchy

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Design philosophy

GenPlanner is built around a small set of composable primitives:

• Zoning Primitives define what spatial program should be achieved.

• Zone Relations define which zones may or may not be adjacent.

• GenPlanner orchestrates preprocessing, validation, optimization and splitting.

• Errors define a strict, explicit failure model.

The goal is deterministic, reproducible zoning with clear constraints and explicit spatial control.

License

This project is distributed under a Proprietary Non-Commercial License.

You are allowed to use the software for non-commercial purposes only.

The following actions are prohibited without prior permission from the author:

• copying the source code

• modifying the software

• redistributing the software

• commercial use

See the full license text here:

• LICENSE