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Programming language Python for data processing

Authors: Zdena Dobesova;

Programming language Python for data processing

Abstract

Geographic information systems belong the group of applications that process spatial data. Some spatial analyses are operated repetitively in the same way for different area or district. Therefore it is useful when the data processing can be run automatically by program extension designed especially for batch data processing. ArcGIS software offers a possibility to design the steps of data processing by data flow diagram in the graphic editor ModelBuilder. In some cases the data flow diagram which is designed in ModelBuilder component is not sufficient for all require tasks. In such cases, it is possible to automatically convert data flow diagram into the Python language and supplement the program code with other program constructions and commands. Some practical examples are presented in this article. All Python scripts were developed as a part of several research projects at Department of Geinformatics at Palacký University in the Czech Republic. This article is a sum of experience with scripting in Python for ArcGIS geoprocessor.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
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