Niche Modeling: Predictions from Statistical Distributions, 1st Edition (Hardback) book cover

Niche Modeling

Predictions from Statistical Distributions, 1st Edition

By David Stockwell

Chapman and Hall/CRC

224 pages | 77 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9781584884941
pub: 2006-12-15
$135.00
x
eBook (VitalSource) : 9781420010466
pub: 2006-12-15
from $28.98


FREE Standard Shipping!

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.

Reviews

… this book provides a comprehensive introduction to ecological niche modeling development and evaluation. The intended audience of this book is ecologists and students who have some familiarity in niche modeling and would like to have a better understanding of computation, as well as the limitations of and potential pitfalls in niche model prediction.

—Yingwei Peng, Technometrics, August 2010

Table of Contents

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

About the Series

Chapman & Hall/CRC Mathematical and Computational Biology

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
MAT003000
MATHEMATICS / Applied
MAT029000
MATHEMATICS / Probability & Statistics / General
NAT010000
NATURE / Ecology