Metadata-Version: 2.1
Name: cartolidar
Version: 0.0.dev3
Summary: Lidar processing focused on Spanish PNOA datasets (https://pnoa.ign.es/el-proyecto-pnoa-lidar)
Home-page: https://github.com/cartolid/cartolidar
Author: Jose Bengoa
Author-email: cartolidar@gmail.com
License: GNU GPLv3
Project-URL: Source, https://github.com/cartolid/cartolidar/issues
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: Spanish
Classifier: Natural Language :: English
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: GIS
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

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CartoLidar
----------

Tools for Lidar processing focused on Spanish PNOA datasets (https://pnoa.ign.es/el-proyecto-pnoa-lidar)

Herramientas python para procesado de datos Lidar del PNOA (https://pnoa.ign.es/el-proyecto-pnoa-lidar)

Introduction
------------

CartoLidar es una colección de herramientas destinadas a procesar ficheros lidar
(las y laz) para clasificar los puntos y generar ficheros ráster con DEM y DLVs.

>DEM (Digital Elevation Model): modelos digitales de elevaciones (MDT, MDS)
>DLV (Daso Lidar Variables): variables dasoLidar, que representan diversos
>aspectos de la estructura de una formación arbolada, arbustiva o de matorral.

CartoLidar también proporciona herramientas adicionales para generar otros
productos de utilidad en selvicultura y otras areas de gestión del medio
natural a partir de los ficheros ráster con las DLVs. 

El proyecto está en fase alpha e incluye únicamente la herramienta "clidtwins".

clidtwins está destinada a buscar zonas similares a una(s) de referencia en
términos de determinadas variables dasoLidar (DLVs).


>CartoLidar is a collection of tools to process lidar files "las" and "laz" and
>generate other products aimed to forestry and natural environment management.
>
>This project is in alpha version and includes only the "clidtwins" tool.
>
>"clidtwins" searchs for similar areas to a reference one in terms of dasoLidar Variables (DLVs)
>DLV: Lidar variables that describe or characterize forest structure (or vegetation in general).


Consultar documentación en: [Read the Docs - cartolidar](http://cartolidar.readthedocs.io/en/latest/)
(página en construcción)


Install
--------

1. Instalation of official version from [pypi - cartolidar](https://pypi.org/project/cartolidar/):
```
$ pip install cartolidar
```

2. Download of development version from [github - cartolidar](https://github.com/cartolid/cartolidar)

This version can be instaled in lib/site-packages (ie, using cmd in Windows):
```
$ cd path_to_project
$ pip install .
```

or the older way (not recommendable):
```
$ cd path_to_project
$ python setup.py install
```

where:
  path_to_project is the path that contains setup.py and the other files and
  directories of the project (downloaded from githhub)


Requeriments
------------
cartolidar requires Python 3.7 or higher. See requirements.txt.


Use
--------
## Uso de cartolidar
### Uso en linea de comandos

1. Ejecutar el paquete cartolidar:
```
$ python -m cartolidar [options]
```
&nbsp;&nbsp;&nbsp;&nbsp;
Se inicia un menu con las herramientas disponibles en cartolidar (qlidtwins)

&nbsp;&nbsp;&nbsp;&nbsp;options:
&nbsp;&nbsp;&nbsp;&nbsp;...


2. Importar desde un script (.py) o desde el interprete interactivo; hay varias opciones:
```
import cartolidar
from cartolidar import clidtools
from cartolidar.clidtools import clidtwins
from cartolidar.clidtools.clidtwins import DasoLidarSource
```


to be continued...



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