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Understand How to Analyze and Interpret Information in Ecological
Point Patterns Although numerous statistical methods for analyzing
spatial point patterns have been available for several decades,
they haven't been extensively applied in an ecological context.
Addressing this gap, Handbook of Spatial Point-Pattern Analysis in
Ecology shows how the techniques of point-pattern analysis are
useful for tackling ecological problems. Within an ecological
framework, the book guides readers through a variety of methods for
different data types and aids in the interpretation of the results
obtained by point-pattern analysis. Ideal for empirical ecologists
who want to avoid advanced theoretical literature, the book covers
statistical techniques for analyzing and interpreting the
information contained in ecological patterns. It presents methods
used to extract information hidden in spatial point-pattern data
that may point to the underlying processes. The authors focus on
point processes and null models that have proven their immediate
utility for broad ecological applications, such as cluster
processes. Along with the techniques, the handbook provides a
comprehensive selection of real-world examples. Most of the
examples are analyzed using Programita, a continuously updated
software package based on the authors' many years of teaching and
collaborative research in ecological point-pattern analysis.
Programita is tailored to meet the needs of real-world applications
in ecology. The software and a manual are available online.
Understand How to Analyze and Interpret Information in Ecological
Point Patterns Although numerous statistical methods for analyzing
spatial point patterns have been available for several decades,
they haven't been extensively applied in an ecological context.
Addressing this gap, Handbook of Spatial Point-Pattern Analysis in
Ecology shows how the techniques of point-pattern analysis are
useful for tackling ecological problems. Within an ecological
framework, the book guides readers through a variety of methods for
different data types and aids in the interpretation of the results
obtained by point-pattern analysis. Ideal for empirical ecologists
who want to avoid advanced theoretical literature, the book covers
statistical techniques for analyzing and interpreting the
information contained in ecological patterns. It presents methods
used to extract information hidden in spatial point-pattern data
that may point to the underlying processes. The authors focus on
point processes and null models that have proven their immediate
utility for broad ecological applications, such as cluster
processes. Along with the techniques, the handbook provides a
comprehensive selection of real-world examples. Most of the
examples are analyzed using Programita, a continuously updated
software package based on the authors' many years of teaching and
collaborative research in ecological point-pattern analysis.
Programita is tailored to meet the needs of real-world applications
in ecology. The software and a manual are available online.
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