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Books > Business & Economics > Economics > Econometrics
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Advanced Introduction to Spatial Statistics (Hardcover)
Loot Price: R2,920
Discovery Miles 29 200
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Advanced Introduction to Spatial Statistics (Hardcover)
Series: Elgar Advanced Introductions series
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Elgar Advanced Introductions are stimulating and thoughtful
introductions to major fields in the social sciences, business and
law, expertly written by the world's leading scholars. Designed to
be accessible yet rigorous, they offer concise and lucid surveys of
the substantive and policy issues associated with discrete subject
areas. This Advanced Introduction provides a critical review and
discussion of research concerning spatial statistics,
differentiating between it and spatial econometrics, to answer a
set of core questions covering the geographic-tagging-of-data
origins of the concept and its theoretical underpinnings,
conceptual advances, and challenges for future scholarly work. It
offers a vital tool for understanding spatial statistics and
surveys how concerns about violating the independent observations
assumption of statistical analysis developed into this discipline.
Key Features: A concise overview of spatial statistics theory and
methods, looking at parallel developments in geostatistics and
spatial econometrics, highlighting the eclipsing of centography and
point pattern analysis by geostatistics and spatial autoregression,
and the emergence of local analysis Contemporary descriptions of
popular geospatial random variables, emphasizing one- and
two-parameter spatial autoregression specifications, and Moran
eigenvector spatial filtering coupled with a broad coverage of
statistical estimation techniques A detailed articulation of a
spatial statistical workflow conceptualization The helpful insights
from empirical applications of spatial statistics in agronomy,
criminology, demography, economics, epidemiology, geography,
remotely sensed data, urban studies, and zoology/botany, will make
this book a useful tool for upper-level students in these
disciplines.
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