Practical Handbook of Curve Fitting

Sandra Arlinghaus

• Publisher: CRC Press
• Year: 2023
• Print ISBN:
  9780849301438
• eBook ISBN:
  9781000949926
• Topic: Mathematics
• Subtopic: Computer Science General
• Index: Mathematics

Practical Handbook of Curve Fitting is a reference work assembled by Arlinghaus and a set of editors with well over a century of combined experience in various disciplines and activities related to curve fitting. The book demonstrates how to analyze World data bases and graph and map the results. Default settings in software packages can produce attractive graphs of data imported into the software. Often, however, the default graph has no equation associated with it and cannot therefore be used as a tool for further analysis or projection of the data. The same software can often be used to generate curves from equations. The reader is shown directly, and in a series of steps, how to fit curves to data using Lotus 1-2-3. There are traditional unbounded curve fitting techniques-lines of least squares, exponentials, logistic curves, and Gompertz curves. There is the bounded curve fitting technique of cubic spline interpolation. Beyond these, there is a detailed application of Feigenbaum's graphical analysis from chaos theory, and there is a hint as to how fractal geometry might come into play. Curve fitting algorithms take on new life when they are actually used on real-world data. They are used in numerous worked examples drawn from electronic data bases of public domain information from the Stars data base of The World Bank and from the WRD data base of the World Resources Institute. The applications are current and reflect a state-of-the-art interest in the human dimensions of global change.

Table of contents

• Cover
• Title Page
• Copyright Page
• Table of Contents
• Introduction
• Theoretical Background
• Chapter 1
• Population Data Analysis
• Chapter 2
• Epidemiology Data Analysis
• Chapter 3
• Agriculture Data Analysis
• Chapter 4
• Biodiversity Data Analysis
• Chapter 5
• Soils and Forestry Data Analysis
• Chapter 6
• Education Data Analysis
• Chapter 7
• Transportation and Communication Data Analysis
• Chapter 8
• Environmental Toxicity Data Analysis
• Chapter 9
• Urbanization Data Analysis
• Chapter 10
• World Trade Data Analysis
• Index of Figure Captions and Table Titles