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Contents
Abstract
Chapter One: Introduction
- Preamble
- Ecosystems, Resource Management, and Geographic Information Systems
- GIS Planning & Operation
- Thesis Outline
Chapter Two: Deriving Inferences From Databases That Define A Partition and Contain Sinks Of Information
- Outline of Chapter
- The Structure Of Locationally Linked Databases
- Establishing A Mathematical Representation
- Determining Interactions Between Biological Organisms & Coded Properties - Insufficient Conditions
- Establishing Prediction Using Data From A Locationally Linked Database
- Supplement to Chapter 2: The Meaning Of Some Terms Used In Chapter 2
Chapter Three: General Background On E-RMS
- Outline of Chapter
- E-RMS
- E-RMS Is A Raster Based Geographic Information System.
- E-RMS Is Divided Into Distinct Modules
- Tutorial Database Supplied With The E-RMS Package
- Predictive Modelling Module
Chapter Four: E-RMS Requires Location Coordinates That Do Not Exist.
- Outline of Chapter
- The Australian Geodetic Datum
- Coordinates Stated For The E-RMS Tutorial Database
Chapter Five: Limits To Resolution Set By Attainable Accuracy In The E-RMS Demonstration Database.
- Outline of Chapter
- Precision and Accuracy
- Accuracy Required For Survey Data
- Standards Of Map Accuracy
- The Problem Of Stating Location
- Conversion Of Analogue To Digital Data
- Resolution Stated For E-RMS Tutorial Database
Chapter Six: Effecting Inductive Statistical Analysis On Geographic Information System Databases And Analytical Mistakes Made In The E-RMS Software Manual.
- Outline of Chapter
- Changing A Casual Observation Into Useful Information.
- Classical Set Theory
- Evidence From Multiple Observations
- Mistakes In Procedures Of Statistical Analysis
- Deriving Inferences from Overlaying Maps
Chapter Seven: E-RMS Uses A Defective Land Surface Reconstruction Algorithm For Modelling Fire Intensity.
- Outline of Chapter
- Information - The Ability To Discriminate Between Alternatives
- Measurement And Uncertainty
- Choosing A Numerical Estimation Algorithm
- The E-RMS Land Surface Reconstruction Algorithm
- Symmetric Tests of the E-RMS Land Surface Reconstruction Algorithm
- Estimating Fire Intensity Using Data Derived from the E-RMS land surface reconstruction algorithm
Chapter Eight: General Discussion & Recommendations.
- Outline of Chapter
- Verifying Important Observations
- Addressing Issues Raised Concerning E-RMS
List Of Cited References
List of Figures and Tables