Statistical Methods for Spatial Data Analysis [推广有奖]

0关注
11粉丝

教授VIP

已卖：12756份资源

学科带头人

36%

还不是VIP/贵宾

威望: 0 级
论坛币: 849958 个
通用积分: 193.9296
学术水平: 27 点
热心指数: 34 点
信用等级: 18 点
经验: 24352 点
帖子: 1109
精华: 3
在线时间: 716 小时
注册时间: 2006-8-5
最后登录: 2018-1-26

楼主

zhushiyou 发表于 2007-7-7 13:52:00 |AI写论文

是否 +2 论坛币

k人参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

134176.zip (9.19 MB, 需要: 50 个论坛币)

Statistical Methods for Spatial Data Analysis (Texts in Statistical Science Series)

By Oliver Schabenberger, Carol A. Gotway,

Publisher: Chapman & Hall/CRC
Number Of Pages: 488
Publication Date: 2004-12-20
Sales Rank: 310174
ISBN / ASIN: 1584883227
EAN: 9781584883227
Binding: Hardcover
Manufacturer: Chapman & Hall/CRC
Studio: Chapman & Hall/CRC
Average Rating: 3.5

Statistical Methods for Spatial Data Analysis is a comprehensive treatment of statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. The volume delivers an up-to-date treatment of semivariogram estimation and modeling and spatial analysis in the spectral domain, as well as a thorough analysis of spatial regression, covering linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data and succinctly discussing Bayesian hierarchical models. It concludes with a review of simulation, non-stationary covariance and spatio-temporal processes.

Review:
definitely technical

but accessible if you have the appropriate background. A great treatment of the underlying theory, without too much obfuscation. The authors include many interesting examples and make available SAS code on their website.