| 查看: 7035 | 回复: 144 | ||||||||||||
| 【奖励】 本帖被评价128次，作者xpchen增加金币 101 个 | ||||||||||||
[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
» 收录本帖的淘帖专辑推荐
 万卷阁之搜神记 | 国外专业电子书2 | 生物信息学 | @3S、地理科学 |
| 遥感图像处理专辑 | 地理学书籍收集 | 遥感资源 | 地学 |
| GIS and RS | 学习 |
» 猜你喜欢
地球化学论文润色/翻译怎么收费?
已经有240人回复
» 本主题相关价值贴推荐，对您同样有帮助:
- Spatial Analysis: A Guide for Ecologists 电子书
已经有24人回复
- 《Multi-Sensor Data Fusion with MATLAB》2011
已经有105人回复
- 地理中的量化分析方法：下载连接
已经有66人回复
33楼2013-09-12 15:37:23
4楼2013-06-11 11:28:56
15楼2013-06-13 23:08:53
20楼2013-06-18 22:45:02
26楼2013-07-04 20:22:23
30楼2013-08-15 22:09:57
41楼2013-12-13 16:26:07
48楼2014-06-03 09:46:04
简单回复
2013-06-11 06:48
回复
五星好评 顶一下，感谢分享！
2013-06-11 06:50
回复
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！
wcj66889916楼
2013-06-14 06:52
回复
五星好评 顶一下，感谢分享！
panzarong17楼
2013-06-14 08:18
回复
五星好评 顶一下，感谢分享！
fsfno118楼
2013-06-14 08:40
回复
三星好评 顶一下，感谢分享！
lanboduan19楼
2013-06-14 21:44
回复
五星好评 顶一下，感谢分享！
lukelitao21楼
2013-06-29 17:14
回复
五星好评 顶一下，感谢分享！
yanwj198022楼
2013-07-02 16:57
回复
五星好评 顶一下，感谢分享！
lyh045523楼
2013-07-03 06:33
回复
五星好评 顶一下，感谢分享！
ohyah24楼
2013-07-03 20:59
回复
五星好评 顶一下，感谢分享！
ronghua432125楼
2013-07-04 18:15
回复
五星好评 顶一下，感谢分享！
jingshuihero27楼
2013-07-05 20:46
回复
五星好评 顶一下，感谢分享！
fding200528楼
2013-07-06 09:38
回复
五星好评 顶一下，感谢分享！
shirleys77729楼
2013-07-25 12:04
回复
五星好评 顶一下，感谢分享！
quaternary31楼
2013-08-17 17:28
回复
五星好评 顶一下，感谢分享！
liyichong32楼
2013-08-24 15:13
回复
五星好评 顶一下，感谢分享！
?s娃34楼
2013-09-22 08:20
回复
五星好评 顶一下，感谢分享！
凌波丽35楼
2013-09-30 13:39
回复
五星好评 顶一下，感谢分享！
xyzlrm136楼
2013-10-02 08:14
回复
五星好评 顶一下，感谢分享！
terminator0737楼
2013-10-04 22:20
回复
五星好评 顶一下，感谢分享！
davidlp7738楼
2013-10-20 16:12
回复
顶一下，感谢分享！
迅雷妞妞39楼
2013-11-23 18:57
回复
五星好评 顶一下，感谢分享！
ynmaxing40楼
2013-12-12 10:21
回复
五星好评 顶一下，感谢分享！
hunandaxue0142楼
2014-01-05 10:12
回复
五星好评 顶一下，感谢分享！
guo_dongjing43楼
2014-01-10 14:58
回复
三星好评 谢谢分享
terminator0744楼
2014-01-12 20:54
回复
顶一下，感谢分享！
zhoumath45楼
2014-04-15 20:13
回复
五星好评 顶一下，感谢分享！
Gzhenhua46楼
2014-04-17 11:06
回复
五星好评 顶一下，感谢分享！
llbuaa47楼
2014-04-25 17:41
回复
五星好评 顶一下，感谢分享！
某个某某49楼
2014-06-18 09:56
回复
五星好评 顶一下，感谢分享！
locustzhang50楼
2014-06-21 07:19
回复
五星好评 顶一下，感谢分享！
