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#

built-environment

Here are 17 public repositories matching this topic...

urban-and-regional-planning-resources

Community list of data & technology resources concerning the built environment and communities. 🏙️🌳🚌🚦🗺️

  • UpdatedOct 20, 2025

A library for creating Navigation Graphs, Visibility graphs, Raycasting used in design analysis, architecture, robotics, and human factors.

  • UpdatedAug 15, 2025
  • C++

ST-BESA: Low-code spatio-temporal built-environment analysis for social scientists

  • UpdatedNov 2, 2025
  • Python

Database of energy characteristics of individual Dutch dwellings

  • UpdatedFeb 28, 2022
  • Python

Physiological data processing, signal processing, and data fusion scripts and codes. ESUM: This research is a part of our research project "ESUM­-Analysing trade­offs between the energy and social performance of urban morphologies," at the Chair of Information Architecture, ETH Zurich, Zurich, Switzerland and the Chair of Computer Science for Ar…

  • UpdatedMar 3, 2021
  • Python
CHB-image_classification_GradCam

Using four different CNN architectures in an endeavor to detect built heritage in need of preservation and approximately localize the existent damage therein using the GradCam technique.

  • UpdatedJan 8, 2024
  • Jupyter Notebook
Chicago-L-ridership

The study utilizes Multiscale Geographically Weighted Regression (MGWR) to examine how built environment factors affect metro ridership in Chicago.

  • UpdatedJan 7, 2024
  • R

This is a collection of google Colab notebooks that I created while following edx.com's "Data Science for Construction, Architecture and Engineering" course by Clayton Miller.

  • UpdatedJan 21, 2022
  • Jupyter Notebook

rbenvo is a package of class (benvo) and methods for built environment data structures. They are designed to ease the use of working with these nonstandard data structures and improve interoperability with other R packages developing methods in this same space.

  • UpdatedDec 1, 2020
  • R

Spline implementation of Spatial Temporal Aggregated Predictors(STAP). Enables the identification and estimation of BEF network effects with both cross-sectional and longitudinal data.

  • UpdatedJun 28, 2021
  • C++

Functional Spatial Temporal Aggregated Dirichlet Process Predictors

  • UpdatedSep 16, 2023
  • C++

This project aims to provide a comprehensive framework for assessing the urban and transportation infrastructure within the region, leveraging spatial analysis to better understand the connectivity and accessibility of various places.

  • UpdatedFeb 17, 2025
  • Jupyter Notebook

An R package for charting density potentials in the built environment using Space Ratio and the Space Ratio Chart.

  • UpdatedNov 23, 2024
  • R

Python hydraulic system analysis of IFC building models.

  • UpdatedNov 3, 2025
  • Python

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