An Embedded spatial statistics toolbox (R techniques) in open source GİS software (uDig)

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2016

Author

Çavur, Mahmut

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It is widely considered that geographic information systems (GIS) should include more spatial data analysis (SDA) techniques. The issues of which techniques should be included and how statistical analysis can be integrated with GIS are still widely debated. However, the typical software does not include all geospatial techniques. In this respect, this thesis focuses on the means to develop a framework which implements R spatial statistical techniques in the uDig GIS so that GIS and spatial statistical analysis can mutually benefit from such an integration. In this respect, this thesis introduces a framework that implements R spatial statistical techniques in the uDig GIS -. For this purpose, a simple interface is designed between two open-source software applications, uDig and the R statistical software package. The platform used here is Windows since the uDig and R compiles and installs smoothly, and they run in Linux and Mac operating system as well. The R techniques, tight integration strategy and RCaller are redesigned with respect to methodology requirements. In conclusion, the integration is successfully implemented and tested by users and developers. There are 14 spatial statistical and four non-geospatial techniques that have been integrated into uDig GIS softwareDevelopers can use proposed the framework to embed any required geospatial technique into uDig easily.

Subject Keywords

Geospatial data., Geospatial data, Geographic information systems., Geospatial data

URI

http://etd.lib.metu.edu.tr/upload/12619907/index.pdf
https://hdl.handle.net/11511/25586

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

M. Çavur, “An Embedded spatial statistics toolbox (R techniques) in open source GİS software (uDig),” Ph.D. - Doctoral Program, Middle East Technical University, 2016.