A01=Sandra Arlinghaus
advanced curve fitting for global datasets
American Geographical Society
Amphibian Species
Author_Sandra Arlinghaus
Category=JMB
Category=PBT
Cell C5
Cell D5
Cereal Imports
chaos theory applications
Cubic Spline
Cubic Spline Fitting
Danube Basin
Data Set
Dense
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Exponential Curve Fit
Exponential Fit
fractal geometry
General Organizational Scheme
Gompertz Equation
Horizontal Asymptote
Logistic Curve
Logistic Equation
Output Range
quantitative data analysis
Railway Density
Regression Output
Reptile Skins
Residual Plot
scientific graphing techniques
Slope Intercept Form
spline interpolation methods
Spreadsheet Column
statistical modeling
Superimpose
Product details
- ISBN 9780367579807
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 30 Jun 2020
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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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.
Sandra Arlinghaus
