Applied Spatial Data Analysis with R, Second Edition

Applied Spatial Data Analysis with R, Second Edition pdf epub mobi txt 電子書 下載2025

Roger Bivand is Professor of Geography in the Department of Economics at the Norwegian School of Economics, Bergen, Norway.

Edzer Pebesma is Professor of Geoinformatics at Westfälische Wilhelms-Universität, Münster, Germany.

Virgilio Gómez-Rubio is Associate Professor in the Department of Mathematics at Universidad de Castilla-La Mancha, Albacete, Spain

出版者:Springer
作者:Roger S. Bivand
出品人:
頁數:420
译者:
出版時間:2013-6-21
價格:USD 64.99
裝幀:Paperback
isbn號碼:9781461476177
叢書系列:
圖書標籤:
  • 空間分析 
  • 數據挖掘 
  • R語言 
  • GIS 
  • 經濟商業統計 
  • 地理 
  • textbook統計 
  •  
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Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition.

This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science.

The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org.

The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.

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这书的翻译就是一坨屎!还不如机器翻译的!一本好书就这样被糟蹋了!还要说什么?就是翻译垃圾!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!...

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这本书理论与实践结合,不断的用Meuse这个土壤的数据为读者提供最直接的案例。 这本书主要使用的是R中的gstat的包,包含着非常强大的空间数据处理能力。 我最近做的一些工作,需要比ArcGIS更灵活的分析,于是就买了一本2手的,挺便宜的。 这本书我主要看了如何构建空间数据...  

評分

这书的翻译就是一坨屎!还不如机器翻译的!一本好书就这样被糟蹋了!还要说什么?就是翻译垃圾!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!...

評分

这书的翻译就是一坨屎!还不如机器翻译的!一本好书就这样被糟蹋了!还要说什么?就是翻译垃圾!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!...

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Datum,在地学中,其实就是大地基准面的意思,在本书中,按照基准翻译。基准是什么玩意?请问,翻译本书的人,你是学地学的吗?下面是无数错误中的一个例子: 原文:Here we use numbers in sequence to index the points and the rows of our data frame, because neither the...  

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