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Topic:
Introduction to GIS and Spatial Data Handling: Part II
OVERVIEW and OBJECTIVES
In Part I, Andy Long gives an overview
of the basics of GIS.
In Part II of this module we introduce spatial statistics and how
they are used to analyze spatial data.
- What is the `value added' of spatial analysis?
- What is the relationship of spatial to traditional statistics?
- What is the role of spatial analysis in the `Big Picture'
OBJECTIVES:
Those who successfully complete the module should
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Appreciate the role of spatial statistics in the analysis of spatial data.
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Understand how spatial data can violate assumptions required by traditional statistics such as ANOVA, t-test etc.
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Know the four different kinds of spatial structure, and be able to identify some of their sources.
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Appreciate that different statistics quantify different aspects of spatial pattern.
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Know the assumptions of spatial analysis.
SCENARIOS FOR DISCUSSION
Evaluation:
If you have had a careful look at this module,
please evaluate it! We'd like to improve our modules, and value your
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