標(biāo)題: Titlebook: Analyzing Ecological Data; Alain F. Zuur,Elena N. Ieno,Graham M. Smith Book 2007 The Editor(s) (if applicable) and The Author(s), under ex [打印本頁] 作者: Cataplexy 時(shí)間: 2025-3-21 16:11
書目名稱Analyzing Ecological Data影響因子(影響力)
作者: 噴出 時(shí)間: 2025-3-21 23:06 作者: Precursor 時(shí)間: 2025-3-22 02:38 作者: motivate 時(shí)間: 2025-3-22 07:24
https://doi.org/10.1057/9781137405579t takes into account auto-orrelation structures in the data. We also discuss a standard time series method, namely auto-regressive integrated moving average models with exogenous variables (ARIMAX). In Chapter 17, more specialised methods to estimate common trends are introduced.作者: thwart 時(shí)間: 2025-3-22 09:50
Advice for teachers,ence analysis, canonical correspondence analysis, redundancy analysis) and time series. Although these’ show-me-all’ courses were popular, the actual amount of information that participants were able to fully understand was far less than we had hoped for. It was just too much information for five da作者: invade 時(shí)間: 2025-3-22 13:38 作者: Kindle 時(shí)間: 2025-3-22 19:47
1431-8776 raduate students..Provides comprehensive introductory chapte‘Which test should I apply?‘ During the many years of working with ecologists, biologists and other environmental scientists, this is probably the question that the authors of this book hear the most often. The answer is always the same and作者: 攝取 時(shí)間: 2025-3-23 00:10
Anwendung von Robotic Process Automation,el of ‘familiarity with basic statistics’. This is a very loose phrase, but you should feel reasonably comfortable with concepts such as normal distribution, p-value, correlation, regression and hypothesis testing. Any first-year university undergraduate statistics module should have covered these topics to the depth required.作者: 恃強(qiáng)凌弱的人 時(shí)間: 2025-3-23 02:23 作者: Lamina 時(shí)間: 2025-3-23 07:41
Stella Gatziu Grivas,Manuela Grafithout explanatory variables, whereas canonical correspondence analysis (CCA) and redundancy analysis (RDA) use both response and explanatory variables. In this chapter, we present PCA and RDA, and in the next chapter CA and CCA are discussed.作者: 小說 時(shí)間: 2025-3-23 13:24 作者: 邊緣帶來墨水 時(shí)間: 2025-3-23 14:54 作者: CAB 時(shí)間: 2025-3-23 20:07 作者: 密切關(guān)系 時(shí)間: 2025-3-24 01:28 作者: Harness 時(shí)間: 2025-3-24 03:54 作者: 杠桿 時(shí)間: 2025-3-24 08:37
Book 2007stion that the authors of this book hear the most often. The answer is always the same and along the lines of ‘What are your underlying questions?‘, ‘What do you want to show?‘. The answers to these questions provide the starting point for a detailed discussion on the ecological background and purpo作者: 護(hù)身符 時(shí)間: 2025-3-24 11:57 作者: rectum 時(shí)間: 2025-3-24 18:10
Univariate tree models,n-linearity and interaction between explanatory variables than regression, generalised linear models and generalised additive models, and can be used to find interactions missed by other methods. They also indicate the relative importance of different explanatory variables and are useful in analysing residuals from linear regression, GLM or GAM.作者: Medicaid 時(shí)間: 2025-3-24 21:53 作者: Derogate 時(shí)間: 2025-3-25 02:12 作者: 飛鏢 時(shí)間: 2025-3-25 03:29 作者: 鋼筆尖 時(shí)間: 2025-3-25 09:02 作者: 該得 時(shí)間: 2025-3-25 15:40 作者: 耕種 時(shí)間: 2025-3-25 19:15
Srikanta Patnaik,Xin-She Yang,Feng Qiaon-linearity and interaction between explanatory variables than regression, generalised linear models and generalised additive models, and can be used to find interactions missed by other methods. They also indicate the relative importance of different explanatory variables and are useful in analysing residuals from linear regression, GLM or GAM.作者: 偏狂癥 時(shí)間: 2025-3-25 23:31
https://doi.org/10.1057/9781137405579 do this, the seasonal component needs to be determined and dealt with in some way. We will discuss three methods, of increasing mathematical complexity, for estimating common patterns in time series. In the last section, we discuss a technique that can be used to identify sudden changes.作者: Fabric 時(shí)間: 2025-3-26 00:51
https://doi.org/10.1007/978-3-658-11914-0erature, moisture, soil nutrients, and subsurface geology. Spatially continuous data are often referred to as . (Bailey and Gatrell 1995). The set of statistical techniques that can be used for analysing and modelling this type of data is called ..作者: 顛簸下上 時(shí)間: 2025-3-26 05:05 作者: 苦惱 時(shí)間: 2025-3-26 12:19 作者: CLAN 時(shí)間: 2025-3-26 15:57
Principal coordinate analysis and non-metric multidimensional scaling,od that, just like PCA, is based on an eigenvalue equation, but it can use any measure of association (Chapter 10). Just like PCA, the axes are plotted against each other in a Euclidean space, but the PCoA does not produce a biplot (a joint plot of the variables and observations).作者: Oscillate 時(shí)間: 2025-3-26 17:55 作者: Enrage 時(shí)間: 2025-3-26 22:52
Alain F. Zuur,Elena N. Ieno,Graham M. SmithA comprehensive and practical guide to analysing ecological data based on courses given to researchers, environmental consultants and post graduate students..Provides comprehensive introductory chapte作者: Contend 時(shí)間: 2025-3-27 02:38
Statistics for Biology and Healthhttp://image.papertrans.cn/a/image/156007.jpg作者: 一小塊 時(shí)間: 2025-3-27 07:15
Analyzing Ecological Data978-0-387-45972-1Series ISSN 1431-8776 Series E-ISSN 2197-5671 作者: 構(gòu)成 時(shí)間: 2025-3-27 12:22
Stella Gatziu Grivas,Manuela Graf, we suggest you may want to go straight to Chapter 12, as the method we use here, Bray-Curtis ordination, is rarely used. However, it is an excellent tool to explain the underlying idea of ordination.作者: 怎樣才咆哮 時(shí)間: 2025-3-27 17:05
https://doi.org/10.1057/9781137405579 Recall that the aim of PCA is to create linear combinations of the . variables (principal components or axes), such that the first principal component (PC) has maximum variance, the second PC, the second largest variance, etc. The first PC, denoted by ., is given by 作者: Eructation 時(shí)間: 2025-3-27 19:40
,Ordination — First encounter,, we suggest you may want to go straight to Chapter 12, as the method we use here, Bray-Curtis ordination, is rarely used. However, it is an excellent tool to explain the underlying idea of ordination.作者: candle 時(shí)間: 2025-3-28 01:59 作者: Conclave 時(shí)間: 2025-3-28 04:58
Die Grundlagen der Digital Community,This chapter reviews some statistical programmes with which we have experience and reinforces some ideas of good data management practice.作者: 正面 時(shí)間: 2025-3-28 09:06
Mirjana Radonjic-Simic,Dennis PfistererThe first step in analysing data is a graphical data exploration asking the following questions:作者: 催眠 時(shí)間: 2025-3-28 13:27
Bhat Geetalaxmi Jairam,D. V. AshokaIn the linear regression chapter, we analysed the RIKZ data and identified various problems:作者: 難聽的聲音 時(shí)間: 2025-3-28 18:33 作者: 痛得哭了 時(shí)間: 2025-3-28 21:45
Data management and software,This chapter reviews some statistical programmes with which we have experience and reinforces some ideas of good data management practice.作者: 不在灌木叢中 時(shí)間: 2025-3-28 23:02
Exploration,The first step in analysing data is a graphical data exploration asking the following questions:作者: cliche 時(shí)間: 2025-3-29 04:41
Generalised linear modelling,In the linear regression chapter, we analysed the RIKZ data and identified various problems:作者: 津貼 時(shí)間: 2025-3-29 10:43
Measures of association,In a multivariate dataset, more than one response variable can be analysed at the same time. In Chapter 4, we used Argentinean zoobenthic data where multiple species were measured at multiple sites with several explanatory variables measured at each sites. Possible underlying questions are as follows:作者: 有效 時(shí)間: 2025-3-29 12:38
https://doi.org/10.1007/978-0-387-45972-1Fauna; Vegetation; biology; classification; data analysis; ecology; linear regression; statistics作者: 樹木心 時(shí)間: 2025-3-29 18:31 作者: 煩人 時(shí)間: 2025-3-29 21:55
Anwendung von Robotic Process Automation, in the field possibly best described as the ‘environmental sciences’. The required background for these courses, and therefore this book, is some level of ‘familiarity with basic statistics’. This is a very loose phrase, but you should feel reasonably comfortable with concepts such as normal distri作者: outskirts 時(shí)間: 2025-3-30 02:50 作者: 卷發(fā) 時(shí)間: 2025-3-30 04:09
Sukhpal Singh Gill,Rajkumar Buyyaesence of outliers, and assess the need for data transformations. We also discussed more complex methods (coplot, lattice graphs, seatterplot, pairplots, conditional box-plots, conditional histograms) that helped to see the relationships between a single response variable and more than one explanato作者: Fatten 時(shí)間: 2025-3-30 10:48 作者: oxidize 時(shí)間: 2025-3-30 12:51 作者: giggle 時(shí)間: 2025-3-30 16:49 作者: 飲料 時(shí)間: 2025-3-30 22:18
Stella Gatziu Grivas,Manuela Graf, we suggest you may want to go straight to Chapter 12, as the method we use here, Bray-Curtis ordination, is rarely used. However, it is an excellent tool to explain the underlying idea of ordination.作者: 場所 時(shí)間: 2025-3-31 01:13 作者: Monotonous 時(shí)間: 2025-3-31 07:02
https://doi.org/10.1057/9781137405579ondence analysis (CA) and canonical correspondence analysis (CCA). We start by giving a historical insight into the techniques community ecologists have used most during the last two decades. This chapter is mainly based on Greenacre (1984), Ter Braak (1985, 1986), Ter Braak and Verdonschot (1995), 作者: archenemy 時(shí)間: 2025-3-31 10:52 作者: 水獺 時(shí)間: 2025-3-31 15:19
https://doi.org/10.1057/9781137405579ph. Some books use the phrase’ scores are plotted in a Euclidian space’. What this means is that the scores can be plotted in a Cartesian axes system, another notation is ∣., and the Pythagoras theorem can be used to calculate distances between scores. The problem is that PCA is based on the correla作者: 阻塞 時(shí)間: 2025-3-31 18:19
https://doi.org/10.1057/9781137405579me series. It is a misconception to believe that most of the statistical methods discussed earlier in this book cannot be applied on time series. Provided the appropriate steps are made, one can easily apply linear regression or additive modelling on time series. The same holds for principal compone作者: happiness 時(shí)間: 2025-3-31 22:47
https://doi.org/10.1057/9781137405579noted that they are not restricted to being straight lines. Some of the methods can be applied on univariate time series and others require multiple time series. If the data are available on a monthly basis, one should make a distinction between seasonal variation and long-term patterns. In order to作者: Thrombolysis 時(shí)間: 2025-4-1 03:00
https://doi.org/10.1007/978-3-662-56548-3ndscape or region is divided into sub-areas (Cressie 1993). The sub-areas can also be called cells, units or locations. None of the sub-areas can intersect each other, but each shares a boundary edge with one or more of the other sub-areas. An example of a lattice is shown in Figure 18.1. A . lattic作者: 歌劇等 時(shí)間: 2025-4-1 06:45 作者: Overstate 時(shí)間: 2025-4-1 13:07
Introduction, in the field possibly best described as the ‘environmental sciences’. The required background for these courses, and therefore this book, is some level of ‘familiarity with basic statistics’. This is a very loose phrase, but you should feel reasonably comfortable with concepts such as normal distri作者: Admire 時(shí)間: 2025-4-1 17:31
Advice for teachers,oo many statistical techniques in one course. When we started teaching statistics we tried to teach univariate, multivariate and time series methods in five days to between 8 and 100 biologists and environmental scientists. We did this in the form of in-house courses, open courses and university cou作者: Intruder 時(shí)間: 2025-4-1 20:36
Linear regression,esence of outliers, and assess the need for data transformations. We also discussed more complex methods (coplot, lattice graphs, seatterplot, pairplots, conditional box-plots, conditional histograms) that helped to see the relationships between a single response variable and more than one explanato作者: cushion 時(shí)間: 2025-4-2 02:42
Additive and generalised additive modelling,ure 7.1 shows a scatterplot for two variables of the RIKZ data: species richness and grain size. See Chapter 27 for details on these data. A first look at the graph suggests there is a non-linear relationship between richness and grain size. Sites with large grain sizes seem to have a fairly constan作者: antedate 時(shí)間: 2025-4-2 05:02
Introduction to mixed modelling, used when the data have some sort of hierarchical form such as in longitudinal or panel data, repeated measures, time series and blocked experiments, which can have both fixed and random coefficients together with multiple error terms. It can be an extremely useful tool, but is potentially difficul作者: 證實(shí) 時(shí)間: 2025-4-2 09:58
Univariate tree models,e (Chambers and Hastie 1992; De’Ath and Fabricus 2000; Fox 2000; Venables and Ripley 2002; Maindonald and Braun 2003). Classification trees are used for the analysis of a nominal response variable, and regression trees for a continuous response variable. Both types of tree models deal better with no作者: Finasteride 時(shí)間: 2025-4-2 14:10
,Ordination — First encounter,, we suggest you may want to go straight to Chapter 12, as the method we use here, Bray-Curtis ordination, is rarely used. However, it is an excellent tool to explain the underlying idea of ordination.
