The module is aimed at applied students (e.g. planners, social
scientists) who are interested in spatial-statistical methods, and who
want to deepen their knowledge in this field in a research-led way. The
seminar covers basic as well as current methods of spatial analysis and
also demonstrates practical applications in spatial planning. The course
is divided into three parts:
(a: lecture-style)
Introduction to basic concepts - Spatial autocorrelation (estimators,
hotspot analysis) - Spatial econometrics (spatial regression, spatial
filtering) - Spatial heterogeneity
(b: seminar-style)
Consideration of spatial analysis from the perspective of spatial
planning - examples of the above topics from spatial planning practice
and spatial planning research - discussion of application context,
objectives, embedding in other spatial working methods, limitations,
etc.
(c: hands-on) Practical application with
real data sets - getting to know spatial statistical software (here: R
and GeoDa) - handling data and statistics in a geographical context -
implementation of the theoretical approaches learned
- Lehrende:r: René Westerholt