List

984 - Explain and apply basic trajectory operations. Discuss and apply the crucial task of segmentation in Computational Movement Analysis, especially for separating stops from moves. Explain at least three different trajectory similarity measures in thei

Explain and apply basic trajectory operations. Discuss and apply the crucial task of segmentation in Computational Movement Analysis, especially for separating stops from moves. Explain at least three different trajectory similarity measures in their own words and by drawing simple sketches. Assess the suitability of different trajectory similarity measures for different types of given movement data.

Topics

  • [AM-06-090] Computational Movement Analysis

    Computational Movement Analysis (CMA) develops and applies analytical computational tools aiming at a better understanding of movement data. CMA copes with the rapidly growing data streams capturing the mobility of people, animals, and things roaming geographic spaces. CMA studies how movement can be represented, modeled, and analyzed in GIS&T. The CMA toolbox includes a wide variety of approaches, ranging from database research, over computational geometry to data mining and visual analytics.