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Titlebook: Applied Spatial Data Analysis with R; Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio Book 2013Latest edition Springer Science+Business

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发表于 2025-3-21 19:25:00 | 显示全部楼层 |阅读模式
期刊全称Applied Spatial Data Analysis with R
影响因子2023Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio
视频videohttp://file.papertrans.cn/161/160146/160146.mp4
发行地址Addresses the needs of researchers and students using R to analyze spatial data across a range of disciplines and professions.Co-authored by a group involved in the Comprehensive R Archive Network.Sec
学科分类Use R!
图书封面Titlebook: Applied Spatial Data Analysis with R; Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio Book 2013Latest edition Springer Science+Business
影响因子.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 editio
Pindex Book 2013Latest edition
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https://doi.org/10.1007/978-3-030-54626-7between . objects in .and external formats, including the ones typically used by GIS. In this chapter, we first show how coordinate reference systems can be handled portably for import and export, going on to transfer vector and raster data, and finally consider ways of linking .and GIS more closely
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Recycling Policies for Consumer Durables,.. We first consider the question of the spatial support of observations, going on to cover the handling and combination of features using in particular the . package. Next we consider map overlay, also known as spatial join operations, including aggregation, extract operations in the . package, and
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https://doi.org/10.1007/978-3-642-17011-9n into account explicitly, because they are not relevant. In other cases, they are. Most of this book addresses the case where spatial location matters, and temporal variation is not present or ignored. Texts on time series analysis mostly do the reverse. This chapter will address first steps in han
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Water Pollution Prevention and Control Law,atial distribution (and its causes) of a tree species for which the locations have been obtained within a study area. Furthermore, if two or more species have been recorded, it may also be of interest to assess whether these species are equally distributed or competition exists between them. Other f
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