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Perspectives on Spatial Data Analysis-Arthur Getis-空间数据分析-英文原版
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资源说明：Spatial data analysis has seen explosive growth in recent years. Both in mainstream
statistics and econometrics as well as in many applied fields, the attention to space,
location, and interaction has become an important feature of scholarly work. The
methods developed to deal with problems of spatial pattern recognition, spatial autocorrelation,
and spatial heterogeneity have seen greatly increased adoption, in part
due to the availability of user friendly desktop software. Through his theoretical and
applied work, Arthur Getis has been a major contributing figure in this development.
In this volume, we take both a retrospective and a prospective view of the field.
We use the occasion of the retirement and move to emeritus status of Arthur Getis
to highlight the contributions of his work. In addition, we aim to place it into
perspective in light of the current state of the art and future directions in spatial
data analysis.
To this end, we elected to combine reprints of selected classic contributions by
Getis with chapters written by key spatial scientists. These scholarswere specifically
invited to react to the earlier work by Getis with an eye toward assessing its impact,
tracing out the evolution of related research, and to reflect on the future broadening
of spatial analysis. The organization of the book follows four main themes in Getis’
contributions:
• Spatial analysis
• Pattern analysis
• Local statistics
• Applications
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