arcgisbinding: An R package for integrating R and ArcGIS

3Citations
Citations of this article
38Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The open-source geospatial analysis ecosystem in the R language has been growing exponentially, making R a key aspect of statistical analysis in Geographic Information Systems (GIS). In this paper, we present arcgisbinding, an open-source R package for R-ArcGIS integration, and its functionality, architecture, and use cases for environmental modeling applications. Integrating R and ArcGIS provides rich end-to-end geospatial analysis workflows and enables a variety of curated spatial and spatiotemporal data in Esri formats for use in the R community. arcgisbinding supports geospatial data input and output (I/O), on-the-fly data manipulation, conversion to frequently used spatial R data formats, and interactive data mapping capabilities via esri.leaflet. The package allows the creation of R-driven geoprocessing tools, R script tools, that can be executed in ArcGIS. Different integration patterns between R and ArcGIS are elaborated with a case study on modeling coral bleaching severity using near-live data feeds from NOAA's Coral Reef Watch.

Cite

CITATION STYLE

APA

Aydin, O., Pavlushko, D., Walbridge, S., Kopp, S., & Janikas, M. V. (2024). arcgisbinding: An R package for integrating R and ArcGIS. Environmental Modelling and Software, 172. https://doi.org/10.1016/j.envsoft.2023.105904

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free