Niche Modeling: Predictions from Statistical Distributions

Using theory, applications, and examples of inferences, Niche Modeling: Predictions from Statistical Distributions demonstrates how to conduct and evaluate niche modeling projects in any area of application. It features a series of theoretical and practical exercises for developing and evaluating ni...

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Tác giả chính:	Stockwell, David
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	CRC Press 2009
Những chủ đề:	Environmental Sciences
Truy cập trực tuyến:	http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/983
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spelling	oai:scholar.dlu.edu.vn:DLU123456789-9832009-10-12T03:58:47Z Niche Modeling: Predictions from Statistical Distributions Stockwell, David Environmental Sciences Using theory, applications, and examples of inferences, Niche Modeling: Predictions from Statistical Distributions demonstrates how to conduct and evaluate niche modeling projects in any area of application. It features a series of theoretical and practical exercises for developing and evaluating niche models using the R statistics language. The author discusses applications of predictive modeling methods with reference to valid inferences from assumptions. He elucidates varied and simplified examples with rigor and completeness. Topics include geographic information systems, multivariate modeling, artificial intelligence methods, data handling, and information infrastructure. Above all, successful niche modeling requires a deep understanding of the process of creating and using probability. Off-the-shelf statistical packages are tailored exactly to applications but can hide problematic complexities. Recipe book implementations fail to educate users in the details, assumptions, and pitfalls of analysis, but may be able to adapt to the specific needs of each study. Examining the sources of errors such as autocorrelation, bias, long term persistence, nonlinearity, circularity, and fraud, this seminal reference provides an understanding of the limitations and potential pitfalls of prediction, emphasizing the importance of avoiding errors. Preface FUNCTIONS Elements Operations Functions Ecological Models Summary DATA Creating Entering Data Queries Joins Loading and Saving a Database Summary SPATIAL Data types Operations Summary TOPOLOGY Formalism Topology Hutchinsonian Niche Environmental Envelope Probability Distribution Machine Learning Methods Data Mining Post-Hutchinsonian Niche Summary ENVIRONMENTAL DATA COLLECTIONS Datasets Archives Summary EXAMPLES Model Skill Calculating Accuracy Predicting House Prices Brown Tree Snake Invasion of Zebra Mussel Observations BIAS Range Shift Range-Shift Model Forms of Bias Quantifying Bias Summary AUTOCORRELATION Types Characteristics Example: Testing Statistical Skill Within Range Generalization to 2D Summary NON-LINEARITY Growth Niches Summary LONG TERM PERSISTENCE Detecting LTP Implications of LTP Discussion CIRCULARITY Climate Prediction Lessons for Niche Modeling FRAUD Methods Summary References 2009-10-12T03:58:47Z 2009-10-12T03:58:47Z 2006 Book 978158488494 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/983 en application/octet-stream CRC Press
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Environmental Sciences
spellingShingle	Environmental Sciences Stockwell, David Niche Modeling: Predictions from Statistical Distributions
description	Using theory, applications, and examples of inferences, Niche Modeling: Predictions from Statistical Distributions demonstrates how to conduct and evaluate niche modeling projects in any area of application. It features a series of theoretical and practical exercises for developing and evaluating niche models using the R statistics language. The author discusses applications of predictive modeling methods with reference to valid inferences from assumptions. He elucidates varied and simplified examples with rigor and completeness. Topics include geographic information systems, multivariate modeling, artificial intelligence methods, data handling, and information infrastructure. Above all, successful niche modeling requires a deep understanding of the process of creating and using probability. Off-the-shelf statistical packages are tailored exactly to applications but can hide problematic complexities. Recipe book implementations fail to educate users in the details, assumptions, and pitfalls of analysis, but may be able to adapt to the specific needs of each study. Examining the sources of errors such as autocorrelation, bias, long term persistence, nonlinearity, circularity, and fraud, this seminal reference provides an understanding of the limitations and potential pitfalls of prediction, emphasizing the importance of avoiding errors.
format	Book
author	Stockwell, David
author_facet	Stockwell, David
author_sort	Stockwell, David
title	Niche Modeling: Predictions from Statistical Distributions
title_short	Niche Modeling: Predictions from Statistical Distributions
title_full	Niche Modeling: Predictions from Statistical Distributions
title_fullStr	Niche Modeling: Predictions from Statistical Distributions
title_full_unstemmed	Niche Modeling: Predictions from Statistical Distributions
title_sort	niche modeling: predictions from statistical distributions
publisher	CRC Press
publishDate	2009
url	http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/983
_version_	1757664020420100096

Niche Modeling: Predictions from Statistical Distributions

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