Next Article in Journal
Early Flood Detection for Rapid Humanitarian Response: Harnessing Near Real-Time Satellite and Twitter Signals
Previous Article in Journal
Airborne Gravity Data Denoising Based on Empirical Mode Decomposition: A Case Study for SGA-WZ Greenland Test Data
Article Menu

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2015, 4(4), 2219-2245; doi:10.3390/ijgi4042219

Processing: A Python Framework for the Seamless Integration of Geoprocessing Tools in QGIS

1
Austrian Institute of Technology, Giefinggasse 2, Vienna 1210, Austria
2
Boundless, 50 Broad Street, Suite 703, New York, NY 10004, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 2 July 2015 / Revised: 22 September 2015 / Accepted: 10 October 2015 / Published: 22 October 2015
View Full-Text   |   Download PDF [3109 KB, uploaded 5 November 2015]   |  

Abstract

Processing is an object-oriented Python framework for the popular open source Geographic Information System QGIS, which provides a seamless integration of geoprocessing tools from a variety of different software libraries. In this paper, we present the development history, software architecture and features of the Processing framework, which make it a versatile tool for the development of geoprocessing algorithms and workflows, as well as an efficient integration platform for algorithms from different sources. Using real-world application examples, we furthermore illustrate how the Processing architecture enables typical geoprocessing use cases in research and development, such as automating and documenting workflows, combining algorithms from different software libraries, as well as developing and integrating custom algorithms. Finally, we discuss how Processing can facilitate reproducible research and provide an outlook towards future development goals. View Full-Text
Keywords: QGIS; Python; geoprocessing; open source; software architecture QGIS; Python; geoprocessing; open source; software architecture
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Graser, A.; Olaya, V. Processing: A Python Framework for the Seamless Integration of Geoprocessing Tools in QGIS. ISPRS Int. J. Geo-Inf. 2015, 4, 2219-2245.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top