2015•Unpublished venueRequires access

Improving R and ArcGIS integration

Konstantin Krivoruchko, Dmitry Pavlushko

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Abstract

We discuss a new approach for integrating R with ArcGIS. Later this year Esri plans to release an open source R package that provides a solution inside the application process for passing data between ArcGIS and R. Using this new methodology, the researchers can easily build geoprocessing tools that wrap R scripts. This new methodology will potentially support a community of people who develop and share R-based geoprocessing tools for ArcGIS.

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What this paper is about

We discuss a new approach for integrating R with ArcGIS. Later this year Esri plans to release an open source R package that provides a solution inside the application process for passing data between ArcGIS and R. Using this new methodology, the researchers can easily build geoprocessing tools that wrap R scripts. This new methodology will potentially support a community of people who develop and share R-based geoprocessing tools for ArcGIS.

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Available abstract

We discuss a new approach for integrating R with ArcGIS. Later this year Esri plans to release an open source R package that provides a solution inside the application process for passing data between ArcGIS and R. Using this new methodology, the researchers can easily build geoprocessing tools that wrap R scripts. This new methodology will potentially support a community of people who develop and share R-based geoprocessing tools for ArcGIS.

Key concepts: Geoprocessing, Scripting language, ArcGIS Server, Database, Computer science, Process (computing), World Wide Web, Open source

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