Section: Creating information and value from data | Spatial Analysis | Z_GIS

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  • General

    • Please post all suggestions and corrections for this module. Refer to specific sections whenever your posting applies to content of a specific section.

    • Topics:

      extracting information from (big) data for decision support
      concepts of adding value from data to information to knowledge
      selection and aggregation
      pattern and structural analysis: PPA, landscape metrics, ...
      distance based analyses, incl allocation
      spatial interpolation
      multithematic analysis and decision support, GeoPlanner
      focus on exploratory analysis, working with ArcGIS Insights

    • Learning objectives (module level):

      • understand the objective of spatial analytics to create information for decision support from data, by exploring patterns, relations and context
      • apply exploratory data analysis techniques to detect any underlying spatial organisation 
      • create analytical workflows from individual methods and techniques aiming at answering specific questions and solving problems
      • select adequate spatial analysis approaches based on generic concepts and data characteristics
      • automate analytical workflows for pattern detection and knowledge extraction 

Creating information and value from data

  • Creating information and value from data

    • Learning objectives:

      • understand the value-adding framework of the knowledge pyramid, from data to information to knowledge (and maybe, onwards to wisdom)
      • create a (mental) framework for organising spatial analysis methods and tools following underlying geographical concepts like distance, patterns, coincidence etc.
      • use this framework to establish directions to resources where and how to look up methodology and operations details 
    • Section overview:


    • Keep this bookmarked as a reference - anytime you want to dig deeper or explore an analytical method beyond the scope of this course, this will be your starting point!

    • Register, and complete this MOOC before, during or after this course depending on scheduled course offerings!

    • To understand empirical data sets and to gain insights into patterns and structures, we explore subsets and selectively summarize features,

    • (Use ArcGIS Online version) - Spatial analysis helps you to understand your world. Explore how the six categories of spatial analysis can help you answer geographic questions. Navigate these questions using the spatial analysis workflow and learn how to apply it to your own projects. 

    • Get to know this tool for exploratory data analysis. It might be worthwhile to dig deeper if it suits your needs!

    • Tasks to complete this section

    • Check out these questions and assignments