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Introduction

In: Spatial Autocorrelation and Spatial Filtering

Author

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  • Daniel A. Griffith

    (Syracuse University)

Abstract

At least since the dawn of civilization data have been analyzed as numerical figures to support a decision or to understanding a part of reality. Until the advent of the modern computer, data had to be collected manually and necessary calculations had to be done by hand, often restricting the volume of data analyzed to a very modest size. The computer has enabled the collection of vast amounts of data with greater ease and the performance of necessary data analysis calculations with far fewer mistakes and with considerably greater speed. With this transformation the new restriction to the volume of data analyzed became one based upon computer memory (RAM and ROM) and the speed of input and output devices. Initially this restriction resulted in two classes of computer: standard ones used by most scientists, mainframes and desktop PCs, and then supercomputers housed in a handful of regional centers. In recent years standard desktop PCs have become as powerful as earlier supercomputers, with differences between the two1.

Suggested Citation

  • Daniel A. Griffith, 2003. "Introduction," Advances in Spatial Science, in: Spatial Autocorrelation and Spatial Filtering, chapter 1, pages 1-32, Springer.
    • Handle: RePEc:spr:adspcp:978-3-540-24806-4_1
    DOI: 10.1007/978-3-540-24806-4_1
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