Applied Spatial Analysis
  • Type Learning
  • Level Advanced
  • Time Hours
  • Cost Paid

Applied Spatial Analysis

Issued by University at Albany, SUNY

This not-for-credit microcredential introduces geo-spatial analysis in an applied, hands-on setting. Learners will work with spatial data and learn appropriate techniques for examining data, programming through the use of templates, creating hands-on reproduction of published findings (replications), coding in the free, open-source programming language R, and communicating research findings effectively to a range of audiences, especially through visualization and mapping.

  • Type Learning
  • Level Advanced
  • Time Hours
  • Cost Paid

Skills

Earning Criteria

  • Module 1: Interdependence, geographic connectivity, and working with spatial data.
  • Module 2: Exploratory analytic techniques, including the detection of “hot spots” and other clusters. Development of more advanced visualizations and maps, including maps of statistical findings.
  • Module 3: Explanatory techniques, focusing on diagnostics to inform model selection and the implementation of core spatial models. The module closes with a brief orientation to more advanced models.
  • Produce and generate spatial models relevant to the analysis. Participants will be able to post their code online (e.g., GitHub) and their report can become part of their portfolio.