標(biāo)題: Titlebook: Applied Spatial Data Analysis with R; Roger S. Bivand,Edzer J. Pebesma,Virgilio Gómez-Ru Book 20081st edition Springer-Verlag New York 200 [打印本頁] 作者: aspirant 時(shí)間: 2025-3-21 19:35
書目名稱Applied Spatial Data Analysis with R影響因子(影響力)
書目名稱Applied Spatial Data Analysis with R影響因子(影響力)學(xué)科排名
書目名稱Applied Spatial Data Analysis with R網(wǎng)絡(luò)公開度
書目名稱Applied Spatial Data Analysis with R網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Applied Spatial Data Analysis with R被引頻次
書目名稱Applied Spatial Data Analysis with R被引頻次學(xué)科排名
書目名稱Applied Spatial Data Analysis with R年度引用
書目名稱Applied Spatial Data Analysis with R年度引用學(xué)科排名
書目名稱Applied Spatial Data Analysis with R讀者反饋
書目名稱Applied Spatial Data Analysis with R讀者反饋學(xué)科排名
作者: 抒情短詩 時(shí)間: 2025-3-21 21:10
Dianne M. Miller,Barbara Mills Wotherspooned with R and how to display the results will be provided. From this description, it will be straightforward for the user to adapt the code provided in this chapter to make use of other methods. Other analysis of health data, as well as contents on which this chapter is built, can be found in Chaps. 9 and 10.作者: 整頓 時(shí)間: 2025-3-22 00:25 作者: Capitulate 時(shí)間: 2025-3-22 05:16 作者: 碎石頭 時(shí)間: 2025-3-22 08:55
Book 20081st editionh the book is now complete, software development will continue, in the R community fashion, of rich and satisfying interaction with users around the world, of rapid releases to resolve problems, and of the usual joys and frust- tions of getting things done. There is little doubt that without pressur作者: 使迷惑 時(shí)間: 2025-3-22 14:41 作者: Vulvodynia 時(shí)間: 2025-3-22 18:40
Further Methods for Handling Spatial Datavectors and data frames, as well as the combination of spatial objects. We also apply some of the functions that are available for handling and checking polygon topologies, including the dissolve operation.作者: bile648 時(shí)間: 2025-3-22 21:27
Customising Spatial Data Classes and Methods which . classes can be extended. Naturally, this is only useful for researchers with specific and clear needs, so our goal is to show how (relatively) easy it may be to prototype classes extending . classes for specific purposes.作者: 魯莽 時(shí)間: 2025-3-23 01:44 作者: synovitis 時(shí)間: 2025-3-23 09:14
The Shuttle Electrodynamic Tether Missionvectors and data frames, as well as the combination of spatial objects. We also apply some of the functions that are available for handling and checking polygon topologies, including the dissolve operation.作者: Flavouring 時(shí)間: 2025-3-23 13:45 作者: jovial 時(shí)間: 2025-3-23 17:10
2197-5736 to follow the presentation in a hands-on way..Brings the reaWe began writing this book in parallel with developing software for handling and analysing spatial data withR (R Development Core Team, 2008). - though the book is now complete, software development will continue, in the R community fashion作者: 婚姻生活 時(shí)間: 2025-3-23 20:24
2197-5736 es speci?c choices with regard to how data analysis is carried out.R is open source not only because open source software development, including the dynamics of broad and inclusive user and developer communities, is arguably an attractive and successful development model.978-0-387-78171-6Series ISSN 2197-5736 Series E-ISSN 2197-5744 作者: 有常識(shí) 時(shí)間: 2025-3-24 00:03
Book 20081st editioned out.R is open source not only because open source software development, including the dynamics of broad and inclusive user and developer communities, is arguably an attractive and successful development model.作者: 腐爛 時(shí)間: 2025-3-24 04:21 作者: 證明無罪 時(shí)間: 2025-3-24 08:50 作者: verdict 時(shí)間: 2025-3-24 12:03 作者: FACT 時(shí)間: 2025-3-24 16:28
Spatial Point Pattern Analysisn be carried out using R.When introducing new ideas and concepts we have tried to follow Diggle (2003) as much as possible because this text offers a comprehensive description of point processes and applications in many fields of research. The examples included in this chapter have also been taken f作者: 容易生皺紋 時(shí)間: 2025-3-24 19:53 作者: 不可救藥 時(shí)間: 2025-3-25 00:27 作者: 昏迷狀態(tài) 時(shí)間: 2025-3-25 03:33
Comprehensive Simulation Results Analysis,ical background of methods and models for data analysis, but emphasise hands-on, do-it-yourself examples using R; readers needing this background should consult the references. All data sets used in this book and all examples given are available, and interested readers will be able to reproduce them作者: 流浪 時(shí)間: 2025-3-25 11:26
https://doi.org/10.1007/978-981-287-948-6 airborne technologies have vastly increased the volumes and kinds of spatial data available. Remote sensing satellites continue to make great contributions to earth observation, with multi-spectral images supplementing visible wavelengths. The Shuttle Radar Topography Mission (SRTM) in February 200作者: 思考而得 時(shí)間: 2025-3-25 14:37
https://doi.org/10.1007/978-4-431-68162-5plotting of high-dimensional data by providing .: organised lattices of plots with shared axes (Cleveland, 1993, 1994). This feature is particularly useful when multiple maps need to be compared, for example in case of a spatial time series, comparison across a number of species or variables, or com作者: 價(jià)值在貶值 時(shí)間: 2025-3-25 19:19 作者: BRAWL 時(shí)間: 2025-3-25 21:16 作者: 起來了 時(shí)間: 2025-3-26 03:17
Douglas D. Karrow,Maurice DiGiuseppernative representations. We look at spatial econometrics approaches separately, because the terminology used in that domain differs somewhat from other areas of spatial statistics. We cover spatial filtering using Moran eigenvectors and geographically weighted regression in this chapter, but leave B作者: 恃強(qiáng)凌弱 時(shí)間: 2025-3-26 06:07
Applied Spatial Data Analysis with R978-0-387-78171-6Series ISSN 2197-5736 Series E-ISSN 2197-5744 作者: Preamble 時(shí)間: 2025-3-26 08:28 作者: MAOIS 時(shí)間: 2025-3-26 16:07
https://doi.org/10.1007/978-981-287-948-6 engineers refined the fundamental concepts of mathematical geography, established often centuries ago by some of the founders of science, for example by al-Khwārizmī. Digital representations came into being for practical reasons in computational geometry, in computer graphics and hardware-supported作者: 悅耳 時(shí)間: 2025-3-26 19:59
https://doi.org/10.1007/978-4-431-68162-5 space we think we live in, and maps may show things we cannot see otherwise. Although one can work with all R plotting functions on the raw data, for example extracted from Spatial classes by methods like coordinates or as.data.frame, this chapter introduces the plotting methods for objects inherit作者: ATRIA 時(shí)間: 2025-3-26 22:04
Environmental and Space Electromagnetics between . objects in R 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 R and GIS more clos作者: Morphine 時(shí)間: 2025-3-27 01:12
The Shuttle Electrodynamic Tether MissionChap. 2. We first consider the question of the spatial support of observations, going on to look at overlay and sampling methods for a range of classes of spatial objects. Following this, we cover combining the data stored in the data slot of Spatial*DataFrame objects with additional data stored as 作者: 變異 時(shí)間: 2025-3-27 05:45
Environmental and Space Electromagneticsten happens that customised classes would suit the actual data coming from the instruments better. Since S4 classes have mechanisms for inheritance, it may be attractive to build on the . classes, so as to utilise their methods where appropriate. Here, we demonstrate a range of different settings in作者: perjury 時(shí)間: 2025-3-27 12:21
High Voltage Technology in Spaceatial 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作者: 以煙熏消毒 時(shí)間: 2025-3-27 15:21 作者: FUME 時(shí)間: 2025-3-27 20:49
The Shuttle Electrodynamic Tether Missionudy, may be arbitrary in others and may be administrative boundaries created for very different purposes in others again. The observed data are frequently aggregations within the boundaries, such as population counts. The areal entities may themselves constitute the units of observation, for example作者: 不連貫 時(shí)間: 2025-3-27 23:34 作者: Benzodiazepines 時(shí)間: 2025-3-28 05:30 作者: 人類的發(fā)源 時(shí)間: 2025-3-28 08:15
https://doi.org/10.1007/978-0-387-78171-6Map; calculus; correlation; data analysis; disease mapping; ecology; environment; geographical information 作者: extrovert 時(shí)間: 2025-3-28 13:07 作者: conception 時(shí)間: 2025-3-28 17:43
Roger S. Bivand,Edzer J. Pebesma,Virgilio Gómez-RuFirst comprehensive introduction to applied spatial data analysis with R..Extensive practical examples, with data sets, allowing the reader to follow the presentation in a hands-on way..Brings the rea作者: Flat-Feet 時(shí)間: 2025-3-28 20:46 作者: Affirm 時(shí)間: 2025-3-28 22:56
: Introducing Spatial Datascreens, and on plain paper maps. Making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. Beyond creating and viewing maps, spatial data . is concerned with questions not directly answered by looking at the data themselves. These questions refer作者: CHOKE 時(shí)間: 2025-3-29 05:22 作者: 經(jīng)典 時(shí)間: 2025-3-29 07:39 作者: A精確的 時(shí)間: 2025-3-29 14:01 作者: Narrative 時(shí)間: 2025-3-29 17:30 作者: 挫敗 時(shí)間: 2025-3-29 20:01
Customising Spatial Data Classes and Methodsten happens that customised classes would suit the actual data coming from the instruments better. Since S4 classes have mechanisms for inheritance, it may be attractive to build on the . classes, so as to utilise their methods where appropriate. Here, we demonstrate a range of different settings in作者: micturition 時(shí)間: 2025-3-30 03:27 作者: 煤渣 時(shí)間: 2025-3-30 07:12 作者: CRAB 時(shí)間: 2025-3-30 09:50
Areal Data and Spatial Autocorrelationudy, may be arbitrary in others and may be administrative boundaries created for very different purposes in others again. The observed data are frequently aggregations within the boundaries, such as population counts. The areal entities may themselves constitute the units of observation, for example
