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ObjectNat is an open-source library created for geospatial analysis created by IDU team

Reason this release was yanked:

bugged

Project description

ObjectNat - Meta Library

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ObjectNat is an open-source library created for geospatial analysis created by IDU team

ObjectNat Components

Features and how to use

  1. City graph from OSM - Function to assemble a road, pedestrian, and public transport graph from OpenStreetMap (OSM) and creating Intermodal graph.

    Graph-generator-v1
  2. Adjacency matrix - Calculate adjacency matrix based on the provided graph and edge weight type (time or distance). The intermodal graph can be obtained using the previous example.

  3. Isochrones,transport accessibility - Function for generating isochrones to analyze transportation accessibility from specified starting coordinates. Isochrones can be constructed based on pedestrian, automobile, or public transport graphs, or a combination thereof.

    isochrones-from-2-points
  4. Population restoration - Function for resettling population into the provided layer of residential buildings. This function distributes people among dwellings based on the total city population and the living area of each house.

  5. Service provision - Function for calculating the provision of residential buildings and population with services. In case of missing data, this function utilizes previously described functionality to retrieve the necessary information.

    Burger-Provision5min
  6. Visibility analysis - Function to get a quick estimate of visibility from a given point(s) to buildings within a given distance. Also, there is a visibility catchment area calculator for a large urban area. This function is designed to work with at least 1000 points spaced 10-20 meters apart for optimal results. Points can be generated using a road graph and random point distribution along edges.

    visibility-from-point visibility-catchment-area
  7. Point clusterization - Function to generate cluster polygons for given points based on a specified minimum distance and minimum points per cluster. Optionally, calculate the relative ratio between types of services within the clusters.

    service-clusterization

Installation

ObjectNat can be installed with pip:

pip install ObjectNat

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