Metadata-Version: 2.4
Name: t4gpd
Version: 0.9.8
Summary: Set of tools based on Python, GeoPandas and Shapely to achieve urban geoprocessing
Home-page: https://t4gpd-docs.readthedocs.io
Download-URL: https://pypi.org/project/t4gpd
Author: Thomas Leduc
Author-email: thomas.leduc@crenau.archi.fr
License: GPLv3+
Keywords: Geospatial analysis,Urban form,Urban morphology,Isovist
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering :: GIS
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: download-url
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: license-file
Dynamic: requires-python
Dynamic: summary

# t4gpd
Set of tools based on Python, GeoPandas and Shapely to achieve urban geoprocessing

## Pre-requisites
To be able to use the **t4gpd** plugin, perform geoprocessing and display your own maps, you need a Python3 interpreter and recent versions of the geopandas, matplotlib, numpy, and shapely libraries. One possibility is to install a [Miniconda3](https://docs.conda.io/en/latest/miniconda.html) environment, in which you will first create and then configure a new environment (we will call it gpd):
> conda create -n gpd

> conda activate gpd

> conda config --env --add channels conda-forge

> conda config --env --set channel_priority strict

> conda install python=3.10 geopandas=0.12.2 contextily geocube imageio jupyterlab mapclassify matplotlib matplotlib-scalebar meshio networkx notebook openpyxl plotly pvlib Pyarrow pymap3d pyogrio pysolar pyvista pywavelets rasterio scikit-learn scipy seaborn windrose xlrd xlwt

> pip install dijkstar pythermalcomfort suntimes

## Installation instructions
As **t4gpd** is now on [PyPI](https://pypi.org/project/t4gpd/), the easiest way to install the latest version is to use the pip command as follows:
> pip install t4gpd

Alternatively, you can download the **t4gpd** latest version from the [PyPI](https://pypi.org/project/t4gpd/#files). Then, install the Python3 plugin you downloaded:
> pip install t4gpd-0.9.8.tar.gz

## Read the documentation
Go to [https://t4gpd-docs.readthedocs.io](https://t4gpd-docs.readthedocs.io) to consult the documentation.



