找回密碼
 To register

QQ登錄

只需一步，快速開始

掃一掃，訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Data-driven Modelling of Structured Populations; A Practical Guide to Stephen P. Ellner,Dylan Z. Childs,Mark Rees Book 2016 Springer Intern

[復(fù)制鏈接]
查看: 41261|回復(fù): 43
樓主
發(fā)表于 2025-3-21 17:14:27 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data-driven Modelling of Structured Populations
副標(biāo)題A Practical Guide to
編輯Stephen P. Ellner,Dylan Z. Childs,Mark Rees
視頻videohttp://file.papertrans.cn/264/263336/263336.mp4
概述The only comprehensive monograph on Integral Projection Models in ecology.Accessible to beginners with minimal math and statistics background, but also includes cutting-edge research.Presents a wide r
叢書名稱Lecture Notes on Mathematical Modelling in the Life Sciences
圖書封面Titlebook: Data-driven Modelling of Structured Populations; A Practical Guide to Stephen P. Ellner,Dylan Z. Childs,Mark Rees Book 2016 Springer Intern
描述This book is a “How To” guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub..Stephen P. Ellner. is Horace Whit
出版日期Book 2016
關(guān)鍵詞Demographic measures; Deterministic IPM using R; Environmental Stochasticity; Integral Projection Model
版次1
doihttps://doi.org/10.1007/978-3-319-28893-2
isbn_softcover978-3-319-28891-8
isbn_ebook978-3-319-28893-2Series ISSN 2193-4789 Series E-ISSN 2193-4797
issn_series 2193-4789
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

書目名稱Data-driven Modelling of Structured Populations影響因子(影響力)




書目名稱Data-driven Modelling of Structured Populations影響因子(影響力)學(xué)科排名




書目名稱Data-driven Modelling of Structured Populations網(wǎng)絡(luò)公開度




書目名稱Data-driven Modelling of Structured Populations網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data-driven Modelling of Structured Populations被引頻次




書目名稱Data-driven Modelling of Structured Populations被引頻次學(xué)科排名




書目名稱Data-driven Modelling of Structured Populations年度引用




書目名稱Data-driven Modelling of Structured Populations年度引用學(xué)科排名




書目名稱Data-driven Modelling of Structured Populations讀者反饋




書目名稱Data-driven Modelling of Structured Populations讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics
 

0票 0%

Better Implies Difficulty
 

0票 0%

Good and Satisfactory
 

0票 0%

Adverse Performance
 

0票 0%

Disdainful Garbage
您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:36:54 | 只看該作者
板凳
發(fā)表于 2025-3-22 04:25:48 | 只看該作者
Basic Analyses 1: Demographic Measures and Events in the Life Cycle,lso possible to calculate the expected variation among individuals that results just from chance events, such as the stochasticity of who lives and who dies in a given year, without any inherent differences among individuals.
地板
發(fā)表于 2025-3-22 06:29:32 | 只看該作者
General Deterministic IPM,tidimensional. The main case study is a model with size and age structure based on the Soay sheep system, and we also use a size-quality model, and a model for tropical tree growth, to illustrate different aspects of how a general IPM is implemented numerically.
5#
發(fā)表于 2025-3-22 09:34:37 | 只看該作者
Book 2016by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations.
6#
發(fā)表于 2025-3-22 15:38:59 | 只看該作者
7#
發(fā)表于 2025-3-22 18:52:01 | 只看該作者
Basic Analyses 2: Prospective Perturbation Analysis,bation. We begin by showing how to calculate the . and . of . to perturbations of the kernel, vital rate functions, and their parameters. We finish by briefly describing how to derive analogous expressions for life cycle statistics.
8#
發(fā)表于 2025-3-22 21:27:08 | 只看該作者
9#
發(fā)表于 2025-3-23 03:04:32 | 只看該作者
10#
發(fā)表于 2025-3-23 07:49:14 | 只看該作者
The Institutional Review Board Processf density dependence. We first present some examples of formulating, parameterizing, and implementing a density-dependent IPM. We outline the general theory of density-dependent IPMs, and then look at what the theory tells us about the Soay sheep IPM when we add intraspecific competition, and how the dynamics depend on demographic parameters.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-11 10:26
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
萨嘎县| 依安县| 通州市| 营口市| 平遥县| 阿鲁科尔沁旗| 潜江市| 柳州市| 新兴县| 临泽县| 乐东| 什邡市| 达尔| 阿拉善盟| 甘德县| 高碑店市| 萨迦县| 龙州县| 琼海市| 淮南市| 深州市| 乐都县| 澄江县| 会理县| 湘乡市| 东乌珠穆沁旗| 乌审旗| 永登县| 遂溪县| 光泽县| 文水县| 高台县| 乡宁县| 拉萨市| 余姚市| 龙里县| 宁城县| 鄂伦春自治旗| 蓬溪县| 乌鲁木齐县| 鄄城县|