Spatial Data Analysis introduces key principles about spatial data and provides guidance on methods for their exploration; it provides a set of key ideas or frameworks that will give the reader knowledge of the kinds of problems that can be tackled using the tools that are widely available for the analysis of spatial data.
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<P>Written in recognition of developments in spatial data analysis that focused on differences between places, the first edition of <STRONG>Local Models for Spatial Analysis</STRONG> broke new ground with its focus on local modelling...
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Extremely student friendly, Healey''s STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, 11e, equips you with a solid understanding of statistical fundamentals and their practical application to current social issues -- no advanced math...
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<P><EM>Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling</EM></P><P>Since the publication of the first edition, the statistical landscape has substantially changed for analyzing...
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We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-<em>where</em> – and identifying analytical insight from trends and patterns...
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