Stockwell Niche Modeling

Predictions from Statistical Distributions
Erscheinungsjahr 2010
ISBN: 978-1-4200-1046-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 224 Seiten

Reihe: Chapman & Hall/CRC Mathematical & Computational Biology

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.

Zielgruppe

Students and researchers in ecology, professional land management community, applied mathematicians, statisticians, and computer scientists.

Autoren/Hrsg.

Stockwell, David

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung

Inhaltsverzeichnis

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