Spatial Point Patterns: Methodology and Applications with R

Adrian Baddeley, Ege Rubak, Rolf Turner

買這商品的人也買了...

相關主題

商品描述

Modern Statistical Methodology and Software for Analyzing Spatial Point Patterns

Spatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on their 25 years of software development experiences, methodological research, and broad scientific collaborations to deliver a book that clearly and succinctly explains concepts and addresses real scientific questions.

Practical Advice on Data Analysis and Guidance on the Validity and Applicability of Methods

 

The first part of the book gives an introduction to R software, advice about collecting data, information about handling and manipulating data, and an accessible introduction to the basic concepts of point processes. The second part presents tools for exploratory data analysis, including non-parametric estimation of intensity, correlation, and spacing properties. The third part discusses model-fitting and statistical inference for point patterns. The final part describes point patterns with additional "structure," such as complicated marks, space-time observations, three- and higher-dimensional spaces, replicated observations, and point patterns constrained to a network of lines.

Easily Analyze Your Own Data

 

Throughout the book, the authors use their spatstat package, which is free, open-source code written in the R language. This package provides a wide range of capabilities for spatial point pattern data, from basic data handling to advanced analytic tools. The book focuses on practical needs from the user’s perspective, offering answers to the most frequently asked questions in each chapter.

商品描述(中文翻譯)

《現代統計方法和軟體分析空間點模式》

《空間點模式:方法和應用與R》向來自各個領域的科學研究人員和應用統計學家展示如何分析他們的空間點模式數據。作者們利用他們25年的軟體開發經驗、方法研究和廣泛的科學合作,使這些技術對非數學家也易於理解,並清晰簡明地解釋概念並回答真實的科學問題。

《數據分析的實用建議和方法的有效性和適用性指導》

本書的第一部分介紹了R軟體,關於收集數據的建議,處理和操作數據的信息,以及點過程的基本概念的易於理解的介紹。第二部分介紹了探索性數據分析的工具,包括非參數估計強度、相關性和間距特性。第三部分討論了點模式的模型擬合和統計推斷。最後一部分描述了具有額外“結構”的點模式,例如複雜的標記、時空觀測、三維和更高維空間、重複觀測以及受限於線網絡的點模式。

《輕鬆分析您自己的數據》

整本書中,作者們使用了他們的spatstat軟體包,這是用R語言編寫的免費、開源代碼。該軟體包提供了從基本數據處理到高級分析工具的廣泛能力,並且本書專注於用戶的實際需求,每章提供了最常問的問題的答案。