| 书目名称 | Spatial Relationships Between Two Georeferenced Variables | | 副标题 | With Applications in | | 编辑 | Ronny Vallejos,Felipe Osorio,Moreno Bevilacqua | | 视频video | | | 概述 | Provides theoretical background on spatial statistics.Addresses methodological aspects and applications in R.Brings together 35 years of research including image similarity.Useful for spatial statisti | | 图书封面 |  | | 描述 | .This book offers essential, systematic information on the assessment of the spatial association between two processes from a statistical standpoint. Divided into eight chapters, the book begins with preliminary concepts, mainly concerning spatial statistics. The following seven chapters focus on the methodologies needed to assess the correlation between two or more processes; from theory introduced 35 years ago, to techniques that have only recently been published. Furthermore, each chapter contains a section on R computations to explore how the methodology works with real data. References and a list of exercises are included at the end of each chapter...The assessment of the correlation between two spatial processes has been tackled from several different perspectives in a variety of applications fields. In particular, the problem of testing for the existence of spatial association between two georeferenced variables is relevant for posterior modeling and inference. One evident application in this context is the quantification of the spatial correlation between two images (processes defined on a rectangular grid in a two-dimensional space). From a statistical perspective, this p | | 出版日期 | Book 2020 | | 关键词 | Spatial process; Spatial autocorrelation; t-test; Cross-variogram; Image similarity; Multivariate hypothe | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-56681-4 | | isbn_softcover | 978-3-030-56683-8 | | isbn_ebook | 978-3-030-56681-4 | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 17:47:24
