Git Product home page Git Product logo

lumpr's Introduction

lumpR

Landscape Unit Mapping Program for R

DESCRIPTION

This project deals with an R-package called "lumpR". The package provides functions for a semi-automated approach of the delineation and description of landscape units and partition into terrain components. It can be used for the pre-processing of semi-distributed large-scale hydrological and erosion models using catena-representation (WASA-SED, CATFLOW). It is closely connected to and uses functionalities of GRASS GIS. Additional pre-processing tools beyond the scope of the original LUMP algorithm are included.

INSTALLATION

  • command line installation:
install.packages("devtools") 
library(devtools)
install_github("tPilz/lumpR")
  • from zip/tar:
    • download zip/tar from github: >LINK<
    • install via R-GUI

MORE INFORMATION

Have a look at our wiki for more detailed information: >LINK<

FEEDBACK and BUGS

Feel free to comment via github issues: >LINK<

LICENSE

lumpR is distributed under the GNU General Public License version 3 or later. The license is available in the file GPL-3 of lumpR's source directory or online: >LINK<

NOTE

This package was also known as LUMP and has been renamed by Jan 9th 2017 to distinguish it from the LUMP algorithm published by Francke et al. (2008).

REFERENCES

A paper describing lumpR along with an example study was published in GMD:

Pilz, T., Francke, T., and Bronstert, A.: lumpR 2.0.0: an R package facilitating landscape discretisation for hillslope-based hydrological models, Geosci. Model Dev., 10, 3001-3023, doi: 10.5194/gmd-10-3001-2017, 2017.

See also the accompanying github repository: https://github.com/tpilz/lumpr_paper

For the original LUMP algorithm see:

Francke, T., Güntner, A., Mamede, G., Müller, E. N., and Bronstert, A.: Automated catena-based discretization of landscapes for the derivation of hydrological modelling units, Int. J. Geogr. Inf. Sci., 22, 111-132, doi:10.1080/13658810701300873, 2008.

lumpr's People

Contributors

tpilz avatar tillf avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.