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Scale in Spatial Information and Analysis (Paperback)
Loot Price: R2,269
Discovery Miles 22 690
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Scale in Spatial Information and Analysis (Paperback)
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Now ubiquitous in modern life, spatial data present great
opportunities to transform many of the processes on which we base
our everyday lives. However, not only do these data depend on the
scale of measurement, but also handling these data (e.g., to make
suitable maps) requires that we account for the scale of
measurement explicitly. Scale in Spatial Information and Analysis
describes the scales of measurement and scales of spatial variation
that exist in the measured data. It provides you with a series of
tools for handling spatial data while accounting for scale. The
authors detail a systematic strategy for handling scale issues from
geographic reality, through measurements, to resultant spatial data
and their analyses. They also explore a process-pattern paradigm in
approaching scale issues. This is well reflected, for example, in
chapters dealing with terrain analysis, in which scale in terrain
derivatives is described in relation to the processing involved in
the derivation of specific terrain variables from elevation data,
and area classes, which are viewed as driven by class-forming
covariates. Lastly, this book provides coverage of some of the
issues related to scale that are relatively under-represented in
the literature, such as the effects of scale on information content
in remotely sensed images, and the interaction between scale and
uncertainty that is increasingly important for spatial information
and analysis. By taking a rigorous, scientific approach to scale
and its various meanings in relation to the geographic world, the
book alleviates some of the frustration caused by dealing with
issues of scale. While past research has led to an increasing
number of journal articles and a few books dedicated to scale
modeling and change of scale, this book helps you to develop
coherent strategies for scale modeling, highlighting applicability
for a variety of fields, from geomatic engineering and
geoinformatics to environmental modeling.
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