Reading and writing images with R: Generating high quality output
SpringerBriefs in Computer Science, ISSN: 2191-5776, Vol: 0, Issue: 9781447149491, Page: 31-41
2013
- 1Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
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Book Chapter Description
This chapter presents how to read and write images with R in vector and raster formats. Different packages providing procedures for input and output are available. For vector formats, the package grImport is used. It provides functions for reading vector images and also for manipulation. In the case of raster images, the main packages available for input are: pixmap, png, rtiff, ReadImages, EBImage and bmp. These packages, and additionally the jpeg library, are used for writing in raster formats. In order to write an image in vector formats, some devices as postscript, pdf, and svg can be used. The new support for rendering raster formats in R is also presented in this chapter. The main advantages of using this new support is the better scaling, faster rendering, and smaller graphics files.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85044992434&origin=inward; http://dx.doi.org/10.1007/978-1-4471-4950-7_3; https://link.springer.com/10.1007/978-1-4471-4950-7_3; https://dx.doi.org/10.1007/978-1-4471-4950-7_3; https://link.springer.com/chapter/10.1007/978-1-4471-4950-7_3
Springer Science and Business Media LLC
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