m_osman/city_retrofit
1
0
Fork 0
forked from s_ranjbar/city_retrofit
Code Pull Requests Activity
386 Commits 3 Branches 83 Tags 229 MiB
Python 100%
23360021c3
Go to file
guille 23360021c3 Improve comments
2021-06-03 11:27:48 -04:00
city_model_structure finished the new sensors and added to the factory (concordia_temperature and concordia_gas_flow) 2021-06-02 11:56:38 -04:00
config testing building separation in storeys with the new configuration of geometry using polygons and polyhedrons (NOT working yet). 2021-03-25 09:11:42 -04:00
data changes to add new sensors of other types 2021-06-02 11:28:24 -04:00
docs created weather_factory but not completed 2020-10-28 13:14:05 -04:00
exports Create new factory to import concordia energy files into the libs. 2021-06-01 18:31:50 -04:00
helpers Partial correction citygml read 2021-06-03 10:12:06 -04:00
imports Improve comments 2021-06-03 11:27:48 -04:00
non_functional_tests Partial correction citygml read 2021-06-03 10:12:06 -04:00
tests Changes in libs to new concept of keywords in libraries. Added new tests. 2021-05-27 17:20:06 -04:00
CODE_OF_CONDUCT.md Update 'CODE_OF_CONDUCT.md' 2020-06-08 10:37:09 -04:00
CONTRIBUTING.md Update 'CONTRIBUTING.md' 2020-06-09 08:48:16 -04:00
LICENSE.md Update 'LICENSE.md' 2020-06-08 10:31:36 -04:00
PYGUIDE.md created weather_factory but not completed 2020-10-28 13:14:05 -04:00
pylintrc Add the building/city_objects hierarchy to the city 2020-06-16 15:34:35 -04:00
README.md New commit and push 2020-08-07 12:05:25 -04:00
requirements.txt Correct errors in simplified radiosity algorithm export 2021-04-14 10:22:29 -04:00
WINDOWS_INSTALL.md Update 'WINDOWS_INSTALL.md' 2020-06-26 11:23:41 -04:00

README.md

Libs

Libs is part of Insel4D architecture for the urban simulations, created by the CERC group at Concordia University.

Libs repository contains a set of classes modeling the data for urban environments in the form of:

  • city_model_structure
  • geometry
  • physics
  • usages

Released under LGPL license, will provide an object-oriented, modular approach to urban simulations.

Our aims are:

  • involve as many scientists and contributors as possible
  • provide a complete set of classes that help scientists and students to model urban environments.

Please check the contributing information and code of conduct if you want to contribute, and let us know any new feature you may be of interest for you or your team.