La descripción en la WEB dice:
This course examines the scientific methods used to derive useful information from spatial data. A companion to the book Geographic Information Systems and Science, Third Edition published by John Wiley & Sons Ltd, the course is designed to complement this book and reinforce its concepts through exercises and examples. You will explore GIS theory related to the visualization, measurement, transformation, and optimization of spatial data. An underlying theme that uncertainty is an inherent characteristic of spatial data is thoroughly examined and you will learn how to identify it, measure it, and live with it.El curso consta de:
- Basics of Data and Information: Representing geography; The nature of geographic data; Creating and visualizing information; Uncertainty
- Cartography, Map Production, and Geovisualization: GIS-based visualization; Representing attributes and spatial objects; Scientific visualization; Advanced methods for improving visualizations
- Query and Measurement: Querying views of a GIS; Advanced queries; Querying for measurements
- Transformations and Descriptive Summaries: Buffering, point-in-polygon, and polygon overlay; Spatial interpolation and density estimation; Centers and dispersion; Histograms, pie charts, and scatterplots; Spatial dependence and fragmentation
- Optimization and Hypothesis Testing: Optimization; Hypothesis testing
- Uncertainty: Measuring uncertainty of nominal and ordinal values; Measuring uncertainty of interval or ratio values; Uncertainty issues for spatial data
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