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Titlebook: Applied Spatial Data Analysis with R; Roger S. Bivand,Edzer J. Pebesma,Virgilio Gómez-Ru Book 20081st edition Springer-Verlag New York 200

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發(fā)表于 2025-3-21 19:35:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Spatial Data Analysis with R
影響因子2023Roger S. Bivand,Edzer J. Pebesma,Virgilio Gómez-Ru
視頻videohttp://file.papertrans.cn/161/160147/160147.mp4
發(fā)行地址First comprehensive introduction to applied spatial data analysis with R..Extensive practical examples, with data sets, allowing the reader to follow the presentation in a hands-on way..Brings the rea
學(xué)科分類Use R!
圖書封面Titlebook: Applied Spatial Data Analysis with R;  Roger S. Bivand,Edzer J. Pebesma,Virgilio Gómez-Ru Book 20081st edition Springer-Verlag New York 200
影響因子We began writing this book in parallel with developing software for handling and analysing spatial data withR (R Development Core Team, 2008). - though the book is now complete, software development will continue, in the R community fashion, of rich and satisfying interaction with users around the world, of rapid releases to resolve problems, and of the usual joys and frust- tions of getting things done. There is little doubt that without pressure from users, the development ofR would not have reached its present scale, and the same applies to analysing spatial data analysis withR. It would, however, not be su?cient to describe the development of the R project mainly in terms of narrowly de?ned utility. In addition to being a communityprojectconcernedwiththedevelopmentofworld-classdataana- sis software implementations, it promotes speci?c choices with regard to how data analysis is carried out.R is open source not only because open source software development, including the dynamics of broad and inclusive user and developer communities, is arguably an attractive and successful development model.
Pindex Book 20081st edition
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發(fā)表于 2025-3-21 21:10:40 | 只看該作者
Dianne M. Miller,Barbara Mills Wotherspooned with R and how to display the results will be provided. From this description, it will be straightforward for the user to adapt the code provided in this chapter to make use of other methods. Other analysis of health data, as well as contents on which this chapter is built, can be found in Chaps. 9 and 10.
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Book 20081st editionh the book is now complete, software development will continue, in the R community fashion, of rich and satisfying interaction with users around the world, of rapid releases to resolve problems, and of the usual joys and frust- tions of getting things done. There is little doubt that without pressur
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Further Methods for Handling Spatial Datavectors and data frames, as well as the combination of spatial objects. We also apply some of the functions that are available for handling and checking polygon topologies, including the dissolve operation.
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Customising Spatial Data Classes and Methods which . classes can be extended. Naturally, this is only useful for researchers with specific and clear needs, so our goal is to show how (relatively) easy it may be to prototype classes extending . classes for specific purposes.
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The Shuttle Electrodynamic Tether Missionvectors and data frames, as well as the combination of spatial objects. We also apply some of the functions that are available for handling and checking polygon topologies, including the dissolve operation.
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