You are here

Home » Content

Evolutionary Rapid Development using open source framework for Geospatial Data Processing

Journal Name:

  • Trends in Information Management

Publication Year:

  • 2011

Key Words:

Author Name
Abstract (2. Language): 
Purpose: In the digital age of 21st century, open source movement is considered to be a new paradigm for software use and development. Evolutionary Rapid Development (ERD) is the concept of integrating software systems based on the reuse of components and by the use of software and architectural templates. The objective of the study is to use ERD fundamentals for exploratory analysis and development of software features, infrastructure and components with the adoption of leading edge open source geospatial technologies for doing geospatial data processing tasks. Methodology: In the study many open source geospatial tools are evaluated, adopted and integrated using ERD in GIS framework. Findings: The paper provides an architectural framework for geospatial data processing using evolutionary rapid development technology (ERD). Practical Implications: This paper highlights the challenges faced by the geospatial software developers to glue systems together and their resolution by using ERD as a technical model.
Bookmark/Search this post with
FULL TEXT (PDF): 
PDF icon arastirmax-evolutionary-rapid-development-using-open-source-framework-geospatial-data-processing.pdf
  • 1
31-40
  • English

REFERENCES

References: 

Steiniger, S., & Bocher. E. (2008). An Overview on Current Free and Open Source Desktop GIS Developments. International Journal of Geographical Information Science. 23 (10), 1345-1370. doi:10.1080/1365881080802634956
De- Santis, Richard. M., Blyskal, John., Moini, Assad., & Tappan, Mark. (1997). Evolutionary Rapid Development. Technical Report. Herndon, Virginia: Software Productivity Consortium. Retrieved December 13, 2010 from
http://www.dtic.mil/cgiin/GetTRDoc?Location=U2&doc=GetTRDoc.pdf&AD=ADA32...
Moorthi, S.Manthira., Misra, Indranil., Ramakrishnan, R., & Srivastava, P.K. (2011).Discovery of software systems for composition and their customizability in free and open source geospatial software environments – A Case Study. Map World Forum 2011, Hyderabad, India. Retrieved January 01, 2011 from http://www.geospatialworldforum.org/2011/proceeding/Dforum.htmBarik, R.K., Samaddar, A.B. & Gupta, R.D. (2009). Investigations into the Efficacy of open source GIS Software. GIS Development, Retrieved December 23, 2010 from
http://www.gisdevelopment.net/technology/emerging/mwf09_Barik.htm
Misra, Indranil., Moorthi,S.Manthira., Darji, Nikunj. P., & Ramakrishnan, R. (2010). Open Source software solution for land and crop studies by Geospatial Analysis of Remote Sensing Data. XXX INCA International Congress Dehradun, India. 10-12 November, 2010.
Klein S,. Staring M,. Murphy K,. Viergever MA,. & Pluim, J. (2010). elastix: A Toolbox for Intensity-Based Medical Image Registration. IEEE Transactions on Medical Imaging. 29 (1), 196-205. doi: 10.1109/TMI.2009.2035616
Lemmens, Rob., & Schouwenburg, Martin. (2007). ILWIS and 52°North: From closed source to open source and interoperable image services. FOSS4G, Victoria, Canada. 24-27 September 12, 2007.
The PostgreSQL Global Development Group (2010). PostgreSQL 9.0.4 Documentation User Manual. Retrieved February 12, 2011 from
http://www.postgresql.org/docs/manuals/

Thank you for copying data from http://www.arastirmax.com