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FOSS geospatial libraries in scientific workflow environments: experiences and directions

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dc.contributor.author McFerren, G
dc.contributor.author Van Zyl, T
dc.contributor.author Vahed, Anwar
dc.date.accessioned 2012-03-29T14:10:07Z
dc.date.available 2012-03-29T14:10:07Z
dc.date.issued 2011-07
dc.identifier.citation McFerren, G, Van Zyl, T and Vahed, A. 2011. FOSS geospatial libraries in scientific workflow environments: experiences and directions. Applied Geomatics, vol. 4(2), pp 85-93 en_US
dc.identifier.issn 1866-9298
dc.identifier.uri http://www.springerlink.com/content/93v7r68604q03x70/fulltext.pdf
dc.identifier.uri http://hdl.handle.net/10204/5702
dc.description Copyright: 2011 Springer. This is an ABSTRACT ONLY. The definitive version is published in Applied Geomatics, vol. 4(2), pp 85-93 en_US
dc.description.abstract In multiple research fields such as astronomy, bio-informatics, chem-informatics, geophysics and eco-informatics, scientists are increasingly turning to e-science and specifically scientific workflows as a way of improving, broadening, hastening and sharing their results. Enhanced collaboration, ad hoc access to tools, data and high-performance processing facilities are some of the gains to be made. Scientific workflows are concerned with, amongst others, supporting the repeatability and provenance of experiments. In context of three sets of research (wildfire research, flood modelling and the linking of disease outbreaks to multi-scale environmental conditions), we describe our efforts to provide geospatial capability for scientific workflow software environments to support researchers in exploring, integrating and visualising earth observation and geographic data in conjunction with other research data. We note that functionalities for data ingest (raster and vector), data transformation (reprojection and simplification), data export and spatial overlay operations commonly are required. We find a relative lack of support for geospatial data, services and these functions within several Free and Open Source Software (FOSS) scientific workflow packages. Furthermore, we highlight some software development and data encoding challenges faced when utilising various FOSS geospatial libraries within these scientific workflow environments. Finally, we offer suggestions for improving the integration of geospatial data as well as processing and analysis software tools into such environments. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartofseries Workflow;7733
dc.subject Geospatially enabled scientific workflows en_US
dc.subject Free and Open Source Software (FOSS) en_US
dc.subject Free and Open Source Software for Geospatial en_US
dc.subject Scientific workflow environments en_US
dc.title FOSS geospatial libraries in scientific workflow environments: experiences and directions en_US
dc.type Article en_US
dc.identifier.apacitation McFerren, G., Van Zyl, T., & Vahed, A. (2011). FOSS geospatial libraries in scientific workflow environments: experiences and directions. http://hdl.handle.net/10204/5702 en_ZA
dc.identifier.chicagocitation McFerren, G, T Van Zyl, and Anwar Vahed "FOSS geospatial libraries in scientific workflow environments: experiences and directions." (2011) http://hdl.handle.net/10204/5702 en_ZA
dc.identifier.vancouvercitation McFerren G, Van Zyl T, Vahed A. FOSS geospatial libraries in scientific workflow environments: experiences and directions. 2011; http://hdl.handle.net/10204/5702. en_ZA
dc.identifier.ris TY - Article AU - McFerren, G AU - Van Zyl, T AU - Vahed, Anwar AB - In multiple research fields such as astronomy, bio-informatics, chem-informatics, geophysics and eco-informatics, scientists are increasingly turning to e-science and specifically scientific workflows as a way of improving, broadening, hastening and sharing their results. Enhanced collaboration, ad hoc access to tools, data and high-performance processing facilities are some of the gains to be made. Scientific workflows are concerned with, amongst others, supporting the repeatability and provenance of experiments. In context of three sets of research (wildfire research, flood modelling and the linking of disease outbreaks to multi-scale environmental conditions), we describe our efforts to provide geospatial capability for scientific workflow software environments to support researchers in exploring, integrating and visualising earth observation and geographic data in conjunction with other research data. We note that functionalities for data ingest (raster and vector), data transformation (reprojection and simplification), data export and spatial overlay operations commonly are required. We find a relative lack of support for geospatial data, services and these functions within several Free and Open Source Software (FOSS) scientific workflow packages. Furthermore, we highlight some software development and data encoding challenges faced when utilising various FOSS geospatial libraries within these scientific workflow environments. Finally, we offer suggestions for improving the integration of geospatial data as well as processing and analysis software tools into such environments. DA - 2011-07 DB - ResearchSpace DP - CSIR KW - Geospatially enabled scientific workflows KW - Free and Open Source Software (FOSS) KW - Free and Open Source Software for Geospatial KW - Scientific workflow environments LK - https://researchspace.csir.co.za PY - 2011 SM - 1866-9298 T1 - FOSS geospatial libraries in scientific workflow environments: experiences and directions TI - FOSS geospatial libraries in scientific workflow environments: experiences and directions UR - http://hdl.handle.net/10204/5702 ER - en_ZA


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