Statistics for Spatial Data (Wiley Series in Probability and Statistics)

书籍介绍(英文)

The first practical look at spatial statistics for the scientist and engineer. Designed for the scientific and engineering professional eager to exploit its enormous potential, Statistics for Spatial Data is a primer to the theory as well as the nuts-and-bolts of this influential technique. Focusing on the three areas of geostatistical data, lattice data, and point patterns, the book sheds light on the link between data and model, and reveals how spatial statistical models can be used to solve a host of problems in science and engineering. Revised to reflect state-of-the-art developments, this edition also features many detailed examples, numerous illustrations, and over 1,000 references. The first fully comprehensive introduction, Statistics for Spatial Data is an essential guide for professionals in biology, earth science, civil, electrical, and agricultural engineering, geography, epidemiology, and ecology. "This excellent book, which presents the most important branches of modern spatial statistics in an exemplary manner, will become a basic reference book and will popularize many methods which have been used until now only by small circles of specialists." -Mathematical Reviews "The majority of geoscientists should make sure they have access to this volume, while for those who are actively involved in applying statistical methods to data (of all sorts) this book should be in their personal libraries. As a compendium of statistical procedures to use to analyze data, this volume will surely provide a good solid framework for some time to come." -Geophysics


第一个实际研究的科学家和工程师的空间数据。为科学和工程专业热衷于利用其巨大的潜力而设计，为空间数据统计是对理论的引物，以及坚果和的这种影响力的技术的螺栓。着眼于地统计数据，格数据的三个领域，并指向模式，这本书揭露了有关数据和模型之间的联系，并揭示空间统计模型可以用来解决在科学和工程问题的出现。修订，以反映的国家最先进的发展，这个版本还包括许多详细的例子，许多插图，以及超过1,000引用。第一，充分全面的介绍，对空间数据统计是一个生物学的专业人士提供必要指导，地球科学，土木，电气，以及农业工程，地理，流行病学，生态。 “这个优秀图书，其中介绍模范现代空间统计最重要的分支，将成为一个基本的参考书籍，并已推广到现在为止仅由少数专家界的许多方法。” -数学评论“的地球科学家多数应确保他们有机会获得本书，而对于谁是积极运用统计方法，数据（各种）参与本书应该在他们的个人音乐库。作为汇编统计程序用来分析数据，本书一定会提供一个未来一段时间内的良好坚实的框架。“ ，地球物理