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The guidance and special techniques provided in this handbook will
allow you to understand and use complex spatial statistical
techniques. You will learn how to apply proper spatial analysis
techniques and why they are generally different from conventional
statistical analyses. Clear and concise information on weighting,
aggregation effects, sampling, spatial statistics and GIS, and
visualization of spatial dependence is provided. Discussions on
specific applications using actual data sets fill obvious gaps in
the literature, and coverage of critical research frontiers allows
readers to explore current areas of active research.
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.
The guidance and special techniques provided in this handbook will allow you to understand and use complex spatial statistical techniques. You will learn how to apply proper spatial analysis techniques and why they are generally different from conventional statistical analyses. Clear and concise information on weighting, aggregation effects, sampling, spatial statistics and GIS, and visualization of spatial dependence is provided. Discussions on specific applications using actual data sets fill obvious gaps in the literature, and coverage of critical research frontiers allows readers to explore current areas of active research.
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.
The Practical Handbook of Digital Mapping Terms and Concepts offers
easy-to-read, alphabetically cross-referenced terms, illustrated
with maps (including 8 pages in full color) produced through
digital mapping technology. Thorough explanations provide novices
and experts alike with the most comprehensive study of its kind,
drawing together terms and concepts from the business, academic,
and development communities.
One of the book's unique features is a practical introduction to
digital mapping, explaining its original application in the
international development community and the third world issue of
guinea worm. This study is balanced by theoretical perspectives on
digital mapping as well as possible directions for future
exploration. Internally cross-referenced appendices cover topics
often ignored in the conventional academic curriculum, but which
are critical to success in other digital mapping arenas. These
appendices discuss railroad terminology, desktop digital mapping
(with French translation), maps on CD-ROM (with French
translation), tools used in the global positioning system (with
French translation), and Intelligent Vehicle Highway Systems.
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