| 查看: 7056 | 回复: 144 | ||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | ||
[资源]
Applied Spatial Data Analysis with R
|
||
|
We began writing this book in parallel with developing software for handling and analysing spatial data with R (R Development Core Team, 2008). Although 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 frustrations of getting things done. There is little doubt that without pressure from users, the development of R would not have reached its present scale, and the same applies to analysing spatial data analysis with R. It would, however, not be sufficient to describe the development of the R project mainly in terms of narrowly defined utility. In addition to being a community project concerned with the development of world-class data analysis software implementations, it promotes specific 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. R is also, or perhaps chiefly, open source because the analysis of empirical and simulated data in science should be reproducible. As working researchers, we are all too aware of the possibility of reaching inappropriate conclusions in good faith because of user error or misjudgement. When the results of research really matter, as in public health, in climate change, and in many other fields involving spatial data, good research practice dictates that someone else should be, at least in principle, able to check the results. Open source software means that the methods used can, if required, be audited, and journalling working sessions can ensure that we have a record of what we actually did, not what we thought we did. Further, using Sweave1 – a tool that permits the embedding of R code for complete data analyses in documents – throughout this book has provided crucial support (Leisch, 2002; Leisch and Rossini |
回复此楼» 本帖附件资源列表
-
欢迎监督和反馈：小木虫仅提供交流平台，不对该内容负责。
本内容由用户自主发布，如果其内容涉及到知识产权问题，其责任在于用户本人，如对版权有异议，请联系邮箱：xiaomuchong@tal.com - 附件 1 : Applied_Spatial_Data_Analysis_with_R.pdf
2013-06-10 22:46:36, 9.29 M
» 猜你喜欢
2025国家自然科学基金放榜时间，根据官方回应，8月15日基本没戏了
已经有5人回复
-
各位未来院士帮忙看看评审意见
已经有9人回复
-
地球化学论文润色/翻译怎么收费?
已经有81人回复
-
【招聘】科研助理+五险一金
已经有20人回复
-
《风吹过日常的缝隙》
已经有0人回复
-
招聘博士研究生
已经有45人回复
-
地质学复试调剂
已经有1人回复
-
诚邀
已经有0人回复
-
考研求调剂
已经有4人回复
-
考研求调剂
已经有2人回复
-
东北石油大学地球科学学院地质资源与地质工程专业接收调剂
已经有0人回复
72楼2014-11-11 13:51:43
4楼2013-06-11 11:28:56
简单回复
2013-06-11 06:48
回复
五星好评 顶一下，感谢分享！
十年树木20125楼
2013-06-11 20:43
回复
五星好评 顶一下，感谢分享！
wsy0076楼
2013-06-12 09:46
回复
五星好评 顶一下，感谢分享！
nlk4677楼
2013-06-12 22:30
回复
五星好评 顶一下，感谢分享！
2013-06-13 09:13
回复
五星好评 顶一下，感谢分享！
lwhb20009楼
2013-06-13 11:32
回复
五星好评 顶一下，感谢分享！
1314168apple10楼
2013-06-13 12:48
回复
五星好评 顶一下，感谢分享！
dzqsyd11楼
2013-06-13 13:33
回复
五星好评 顶一下，感谢分享！
daijzh12楼
2013-06-13 16:30
回复
五星好评 顶一下，感谢分享！
laozhu55713楼
2013-06-13 19:16
回复
五星好评 顶一下，感谢分享！
luhongjian14楼
2013-06-13 22:59
回复
五星好评 顶一下，感谢分享！
50