ObjectNat
Object-oriented Network Analysis Tools
ObjectNat is an open-source library developed by the IDU team for spatial and network analysis in urban studies. The library provides tools for analyzing accessibility, visibility, noise propagation, and service provision.
Key Features
Each feature includes a Jupyter Notebook example and full documentation.
Isochrones and Transport Accessibility
Isochrones represent areas reachable from an origin point within a specified time along a transport network. This feature allows the analysis of transport accessibility using pedestrian, road, public transport, or multimodal UrbanGraph objects prepared by IduEdu.
The library supports several methods for building isochrones:
Basic isochrones: display a single zone reachable within a specified time.
Step isochrones: divide the accessibility area into time intervals (e.g., 3, 5, 10 minutes).
📘 Example 🔗 Documentation
Graph Coverage Zones from Points
A function for generating coverage areas from a set of origin points using a transport network. It computes the area reachable from each point by travel time or distance, then builds polygons using Voronoi diagrams and clips them by a given boundary if specified.
📘 Example 🔗 Documentation
Service Provision Analysis
A function to evaluate how well residential buildings and their populations are provided with services (e.g., schools, clinics) that have limited capacity and a defined accessibility threshold (in minutes or meters). The function models the balance between supply and demand, assessing how well services meet the needs of nearby buildings within an acceptable time. ObjectNat 2.0 returns a structured ProvisionResult with a sparse flow matrix and materialization helpers for buildings, services, and link geometries.
📘 Example 🔗 Documentation
Visibility Analysis
A function for evaluating visibility from a given point or set of points to nearby buildings within a given radius. It is used to assess visual accessibility in urban environments. The unified get_visibility API supports accurate and simplified methods, including parallel execution for batches of observer points.
📘 Example 🔗 Documentation
Noise Simulation & Noise Frame
Simulation of noise propagation from sources, taking into account obstacles, vegetation, and environmental factors.
City Graphs via IduEdu
For optimal performance, ObjectNat is recommended to be used with graphs created by the IduEdu library. Graph-based ObjectNat methods consume iduedu.UrbanGraph directly; ObjectNat does not build NetworkX graphs internally.
IduEdu is an open-source Python library designed for building and processing complex urban networks from OpenStreetMap and GTFS Schedule data.
IduEdu can be installed via pip:
pip install IduEdu
Example usage:
from iduedu import get_4326_boundary, get_intermodal_graph poly = get_4326_boundary(osm_id=1114252) urban_graph = get_intermodal_graph(territory=poly, clip_by_territory=True)
Installation
ObjectNat supports Python 3.11–3.14 on Windows, macOS, and Linux. It installs IduEdu 2.2.0 or newer within the 2.x series.
ObjectNat can be installed via pip:
pip install ObjectNat
Configuration
You can adjust logging and progress bar output using the config module:
from objectnat import config
config.change_logger_lvl("INFO") # mute debug logs
config.set_enable_tqdm(False) # disable tqdm progress bars
Migration to ObjectNat 2.0
ObjectNat 2.0 replaces NetworkX-based graph inputs with iduedu.UrbanGraph, renames accessibility functions, and returns ProvisionResult from service provision. See the migration guide in the documentation: Migration 1.x to 2.0.
Contacts
NCCR — National Center for Cognitive Research
IDU — Institute of Design and Urban Studies
Natalya Chichkova — Project Manager
Danila Oleynikov (Donny) — Lead Software Engineer
Citing ObjectNat
If you use ObjectNat in research, please cite it. Citation metadata is kept in CITATION.cff; on GitHub, Cite this repository in the repository sidebar copies it as APA or BibTeX. Publications describing ObjectNat will be listed below.
Publications
Coming soon.
Metadata
Release files for ObjectNat 2.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| objectnat-2.1.0.tar.gz | 38.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| objectnat-2.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 87.6 kB
Release files / objectnat-2.1.0.tar.gz
| Download URL | objectnat-2.1.0.tar.gz |
|---|---|
| Size | 38.9 kB |
| Tags | Source |
|
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| Download URL | objectnat-2.1.0-py3-none-any.whl |
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| Size | 48.7 kB |
| Tags | Python 3 |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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