Data and Methods in Spatial Science

  • Jay D. Gatrell
  • Gregory D. Bierly
  • Ryan R. Jensen
Chapter

Abstract

One of the core strengths of scientific analysis is that it relies upon a base of evidence to make decisions and correct errors in the development of theory. The evidence that is used to describe the operative processes in spatial science is assembled as data, derived through observation, measurement and experiment, directly and indirectly. Hence, data and the methods used to collect it enable spatial science to identify and articulate key spatial phenomena in both human and physical systems. Given the importance of this task, researchers should be mindful of the quality of data, their freedom from error and bias and the extent to which they represent the phenomena under investigation, as these issues greatly affect the strength of any study. In this chapter, we will examine issues related to the data types typically used in spatial science, their derivation, analysis and representation.

Keywords

Spatial Data Empirical Orthogonal Function Geographic Information System Core Strength Thematic Direction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Jay D. Gatrell
    • 1
  • Gregory D. Bierly
    • 1
  • Ryan R. Jensen
    • 2
  1. 1.Department of Earth & Environmental SystemsIndiana State UniversityTerre HauteUSA
  2. 2.Department of GeographyBrigham Young UniversityProvoUSA

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