Show me the code: Spatial analysis and open source Report as inadecuate




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Abstract

This paper considers the intersection of academic spatial analysis with the open source revolution. Its basic premise is that the potential for cross-fertilization between the two is rich, yet some misperceptions about these two communities pose challenges to realizing these opportunities. The paper provides a primer on the open source movement for academicians with an eye towards correcting these misperceptions. It identifies a number of ways in which increased adoption of open source practices in spatial analysis can enhance the development of the next generation of tools and the wider practice of scientific research and education.



Item Type: MPRA Paper -

Original Title: Show me the code: Spatial analysis and open source-

Language: English-

Keywords: open source; spatial analysis-

Subjects: C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C21 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models ; Quantile RegressionsC - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C60 - General-





Author: Rey, S.J.

Source: https://mpra.ub.uni-muenchen.de/9260/







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