Their research interests and experiences are: exploratory analysis of spatial and temporal data; interactive and dynamic computer graphics for data analysis and decision making, in particular, maps; automated knowledge-based cartographic visualisation. He was head of projects on real-time expert systems, on the product development of an expert system workbench Babylon, and on knowledge engineering in the context of diagnostic expert systems.
From until he was head of the research area on Cooperative Design about twenty researchers. In , he co-founded the GMD spin-off company Dialogis GmbH, and acted as co-director during the first two years of its functioning. Exploratory data analysis EDA is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail.
So EDA has a significant appeal: it involves hypothesis generation rather than mere hypothesis testing.
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The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in particular. They start by developing a general view of data structures and characteristics and then build on top of this a general task typology, distinguishing between elementary and synoptic tasks.
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- Cartography (maps).
- Exploratory Analysis of Spatial and Temporal Data : A Systematic Approach!
This typology is then applied to the description of existing approaches and technologies, resulting not just in recommendations for choosing methods but in a set of generic procedures for data exploration. Professionals practicing analysis will profit from tested solutions - illustrated in many examples - for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to spatial data only.
In addition, the general principles and approaches described will be useful for designers of new methods for EDA. Read more Read less.https://europeschool.com.ua/profiles/jazecesa/como-conocer-a-gente-millonaria.php
Exploratory Analysis of Spatial and Temporal Data
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International journal of geographical information science 21 8 , , International journal of geographical information science 24 10 , , IEEE Transactions on visualization and computer graphics 17 2 , , International Journal of Geographical Information Science 15 2 , , Artikel 1—20 Mehr anzeigen. Spatial generalization and aggregation of massive movement data N Andrienko, G Andrienko IEEE Transactions on visualization and computer graphics 17 2 , , Visual analytics of movement: An overview of methods, tools and procedures N Andrienko, G Andrienko Information Visualization 12 1 , , Spatio-temporal aggregation for visual analysis of movements G Andrienko, N Andrienko IEEE symposium on visual analytics science and technology, , Movement data anonymity through generalization.
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