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

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