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Choppy Lite

RESOURCE

Publicly Accessible Repository
https://github.com/nset-ornl/choppy
https://doi.org/10.11578/dc.20201130.7

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Abstract

The existing methodologies for gathering and computing zonal statistics from the combination of a raster image and a shapefile either require advanced programming knowledge in at least one language or the use of proprietary software such as ArcGIS. The software “Choppy Lite” offers several solutions for acquiring zonal statistics that can be used without proprietary software or programming knowledge. This software provides a Docker-based ecosystem, allowing users of any experience level to simply run a single line command in a terminal prompt independent of the operating system. Intermediate to advanced users can import the class provided by the software package into their own Python scripts.
Developers:
Grant, Joshua [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Release Date:
2020-02-28
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python 3.8
Licenses:
GNU General Public License v3.0
Sponsoring Org.:
Code ID:
48797
Site Accession Number:
8155
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/nset-ornl/choppy
https://doi.org/10.11578/dc.20201130.7

SAVE / SHARE



ORNL Badge

Citation Formats

Grant, Joshua N. Choppy Lite. Computer Software. https://github.com/nset-ornl/choppy. USDOE. 28 Feb. 2020. Web. doi:10.11578/dc.20201130.7.
Grant, Joshua N. (2020, February 28). Choppy Lite. [Computer software]. https://github.com/nset-ornl/choppy. https://doi.org/10.11578/dc.20201130.7.
Grant, Joshua N. "Choppy Lite." Computer software. February 28, 2020. https://github.com/nset-ornl/choppy. https://doi.org/10.11578/dc.20201130.7.
@misc{ doecode_48797,
title = {Choppy Lite},
author = {Grant, Joshua N.},
abstractNote = {The existing methodologies for gathering and computing zonal statistics from the combination of a raster image and a shapefile either require advanced programming knowledge in at least one language or the use of proprietary software such as ArcGIS. The software “Choppy Lite” offers several solutions for acquiring zonal statistics that can be used without proprietary software or programming knowledge. This software provides a Docker-based ecosystem, allowing users of any experience level to simply run a single line command in a terminal prompt independent of the operating system. Intermediate to advanced users can import the class provided by the software package into their own Python scripts.},
doi = {10.11578/dc.20201130.7},
url = {https://doi.org/10.11578/dc.20201130.7},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20201130.7}},
year = {2020},
month = {feb}
}