Paper details

Title: Progress in the R ecosystem for representing and handling spatial data

Author: Roger S. Bivand

Abstract: Obtained from CrossRef

AbstractTwenty years have passed since Bivand and Gebhardt (J Geogr Syst 2(3):307–317, 2000.10.1007/PL00011460) indicated that there was a good match between the then nascent open-source R programming language and environment and the needs of researchers analysing spatial data. Recalling the development of classes for spatial data presented in book form in Bivand et al. (Applied spatial data analysis with R. Springer, New York, 2008, Applied spatial data analysis with R, 2nd edn. Springer, New York, 2013), it is important to present the progress now occurring in representation of spatial data, and possible consequences for spatial data handling and the statistical analysis of spatial data. Beyond this, it is imperative to discuss the relationships between R-spatial software and the larger open-source geospatial software community on whose work R packages crucially depend.

CODECHECK details

Certificate identifier: 2020-017

Codechecker name: Daniel Nüst

Time of check: 2020-08-27

Repository: https://github.com/codecheckers/JGSY-D-19-00087

Full certificate: https://doi.org/10.5281/zenodo.4003848

Type: journal

Venue: J Geogr Syst

Summary:

Successful check of well-organised R script. All figures match the ones provided by the author.

Cite this certificate: Citation metadata retrieved from data.crosscite.org

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