Geostatistik und Geomarketing

What it is about

You will learn geostatistical methods for the analysis and prediction of space–time data and apply this knowledge to geomarketing questions. In the end you will be able to apply geostatistical models (including Kriging), exploratory spatial data analyses and machine learning methods in R and plan geomarketing applications for real cases.

What you will be able to do

• Explain essential components of geostatistics
• Implement exploratory spatial data analysis in R
• Forecast anomalies, events and trends in space–time data
• Evaluate machine learning methods for spatial big data
• Differentiate marketing performance indicators using spatial probability models
• Plan geomarketing applications on real case examples

What the module consists of

• Vorlesung mit integrierten ÜbungenConveying concepts and demonstration of methods; integration of exercises for direct application
• Übungen (teilweise betreut, teilweise Selbststudium)Practical implementation of geostatistical methods in R and application to case studies
• QuizzesLearning progress control and preparation for the exam

Teaching method

• Vorlesungen mit integrierten ÜbungenConveying fundamental concepts and application of deterministic/probabilistic modeling for geomarketing
• Praktische Übungen in RImplementation of statistical calculations and graphics; application to real case studies
• Einzelgespräche / Feedback über MoodlePersonal feedback on exercises and support for learning progress
• Regelmäßige QuizzeReview of learning progress and preparation for the written exam