Natalia Andrienko

ORCID: 0000-0003-3313-1560
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About
Contact & Profiles
Research Areas
  • Data Visualization and Analytics
  • Data Management and Algorithms
  • Geographic Information Systems Studies
  • Human Mobility and Location-Based Analysis
  • Time Series Analysis and Forecasting
  • Traffic Prediction and Management Techniques
  • Video Analysis and Summarization
  • Data Mining Algorithms and Applications
  • Data-Driven Disease Surveillance
  • Data Analysis with R
  • Complex Network Analysis Techniques
  • Air Traffic Management and Optimization
  • Transportation Planning and Optimization
  • Image Retrieval and Classification Techniques
  • Advanced Database Systems and Queries
  • Advanced Text Analysis Techniques
  • Gaze Tracking and Assistive Technology
  • Land Use and Ecosystem Services
  • Anomaly Detection Techniques and Applications
  • Species Distribution and Climate Change
  • Explainable Artificial Intelligence (XAI)
  • Urban Transport and Accessibility
  • Privacy-Preserving Technologies in Data
  • Automated Road and Building Extraction
  • Evacuation and Crowd Dynamics

Fraunhofer Institute for Intelligent Analysis and Information Systems
2016-2025

St George's, University of London
2025

City St George's, University of London
2025

City, University of London
2015-2024

Lamarr Institute for Machine Learning and Artificial Intelligence
2024

Fraunhofer Institute for Applied Information Technology
1998-2024

Fraunhofer Institute for Secure Information Technology
2024

University of Piraeus
2018-2022

Reference Center for Research, Development and Innovation in ATM
2022

University of London
2020-2022

Abstract This article summarizes the results of workshop on Visualization, Analytics & Spatial Decision Support, which took place at GIScience conference in September 2006. The discussions and analysis state art have revealed a need concerted cross‐disciplinary efforts to achieve substantial progress supporting space‐related decision making. size complexity real‐life problems together with their ill‐defined nature call for true synergy between power computational techniques human...

10.1080/13658810701349011 article EN International Journal of Geographical Information Science 2007-06-19

Visual analytics aims to combine the strengths of human and electronic data processing. Visualisation, whereby humans computers cooperate through graphics, is means which this achieved. Seamless sophisticated synergies are required for analysing spatio-temporal solving problems. In modern society, analysis not solely business professional analysts. Many citizens need or would be interested in undertaking information time space. Researchers should find approaches deal with complexities...

10.1080/13658816.2010.508043 article EN International Journal of Geographical Information Science 2010-10-09

10.1016/s1045-926x(03)00046-6 article EN Journal of Visual Languages & Computing 2003-09-17

Abstract Descartes (formerly called IRIS) is a software system designed to support visual exploration of spatially referenced data, e.g. demographic, economical, or cultural information about geographical objects locations such as countries, districts, cities. offers two integrated services: automated presentation data on maps, and facilities interactively manipulate these maps. Automated mapping enabled by incorporating generic knowledge map design into the system. selects suitable methods...

10.1080/136588199241247 article EN International Journal of Geographical Information Science 1999-06-01

Movement data (trajectories of moving agents) are hard to visualize: numerous intersections and overlapping between trajectories make the display heavily cluttered illegible. It is necessary use appropriate abstraction methods. We suggest a method for spatial generalization aggregation movement data, which transforms into aggregate flows areas. assumed that no predefined areas given. have devised special partitioning underlying territory The based on extracting significant points from...

10.1109/tvcg.2010.44 article EN IEEE Transactions on Visualization and Computer Graphics 2010-03-19

Analysis of movement is currently a hot research topic in visual analytics. A wide variety methods and tools for analysis data has been developed recent years. They allow analysts to look at the from different perspectives fulfil diverse analytical tasks. Visual displays interactive techniques are often combined with computational processing, which, particular, enables larger number than would be possible purely methods. analytics leverages other areas related analytics, particularly...

10.1177/1473871612457601 article EN Information Visualization 2012-09-05

Visualizing trajectory attribute data is challenging because it involves showing the trajectories in their spatio-temporal context as well values associated with individual points of trajectories. Previous work on visualization addresses selected aspects this problem, but not all them. We present a novel approach to visualizing data. Our solution covers space, time, and values. Based an analysis relevant tasks, we designed around principle stacking bands. The core our hybrid 2D/3D display. A...

10.1109/tvcg.2012.265 article EN IEEE Transactions on Visualization and Computer Graphics 2012-10-16

Learning more about people mobility is an important task for official decision makers and urban planners. Mobility data sets characterize the variation of presence in different places over time as well movements (or flows) between places. The analysis challenging due to need analyze compare spatial situations (i.e., flows at certain moments) gain understanding spatio-temporal changes (variations time). Traditional flow visualizations usually fail massive clutter. Modern approaches offer...

10.1109/tvcg.2015.2468111 article EN IEEE Transactions on Visualization and Computer Graphics 2015-08-13

With widespread availability of low cost GPS devices, it is becoming possible to record data about the movement people and objects at a large scale. While these hide important knowledge for optimization location mobility oriented infrastructures services, by themselves they lack necessary semantic embedding which would make fully automatic algorithmic analysis possible. At same time, making link easy humans who however cannot deal well with massive amounts data. In this paper, we argue that...

10.1145/1345448.1345455 article EN ACM SIGKDD Explorations Newsletter 2007-12-01

Spatial decision support is one of the central functions ascribed to Geographical Information Systems (GIS). One foci developing capabilities GIS has been integration maps with multiple criteria models. Progress in this area slow due a limited role played by as tools. In paper we present new prototype spatial tools emphasising source structure problems. these map goes beyond mere display geographic space and multicriterion evaluation results. Maps becomes 'visual index' through which user...

10.1080/13658810010005525 article EN International Journal of Geographical Information Science 2001-03-01

Data about movements of various objects are collected in growing amounts by means current tracking technologies. Traditional approaches to visualization and interactive exploration movement data cannot cope with such sizes. In this research paper we investigate the ways using aggregation for visual analysis data. We define methods suitable find interaction techniques represent results aggregations enable comprehensive consider two possible views movement, traffic-oriented...

10.1109/vast.2008.4677356 article EN 2008-10-01

One of the most common operations in exploration and analysis various kinds data is clustering, i.e. discovery interpretation groups objects having similar properties and/or behaviors. In are often treated as points multi-dimensional space properties. However, structurally complex objects, such trajectories moving entities other spatio-temporal data, cannot be adequately represented this manner. Such require sophisticated computationally intensive clustering algorithms, which very hard to...

10.1109/vast.2009.5332584 article EN 2009-10-01

The paper investigates the possibilities of using clustering techniques in visual exploration and analysis large numbers trajectories, that is, sequences time-stamped locations some moving entities. Trajectories are complex spatio-temporal constructs characterized by diverse non-trivial properties. To assess degree (dis)similarity between specific methods (distance functions) required. A single distance function accounting for all properties (1) is difficult to build, (2) would require much...

10.1057/palgrave.ivs.9500183 article EN Information Visualization 2008-07-24

Eye movement analysis is gaining popularity as a tool for evaluation of visual displays and interfaces. However, the existing methods tools analyzing eye movements scanpaths are limited in terms tasks they can support effectiveness large data with high variation. We have performed an extensive empirical broad range analytics used geographic data. The been tested applicability to tracking capability extract useful knowledge about users' viewing behaviors. This allowed us select suitable match...

10.1109/tvcg.2012.276 article EN IEEE Transactions on Visualization and Computer Graphics 2012-10-16

This issue of Information Visualization showcases research activity involving and contributing to the visual analysis dynamism, movement change in phenomena that have a spatial element.The work presented here represents selection contributions made workshop coordinated by International Cartographic Association (ICA) Commission on Geovisualization Geographic Laboratories Europe (AGILE) Dynamics, Movement Change.Theoretical methodological approaches for exploring analyzing large datasets with...

10.1057/ivs.2008.23 article EN Information Visualization 2008-09-01

Many cities and countries are now striving to create intelligent transportation systems that utilize the current abundance of multisource multiform data related functionality use infrastructure better support human mobility, interests, lifestyles. Such aim provide novel services can enable consumers managers be informed make safer more efficient infrastructure. However, domain is characterized by both complex problems, which calls for visual analytics approaches. The science continuing...

10.1109/tits.2017.2683539 article EN publisher-specific-oa IEEE Transactions on Intelligent Transportation Systems 2017-04-04

We consider moving objects as multivariate time-series. By visually analyzing the attributes, patterns may appear that explain why certain movements have occurred. Density maps proposed by Scheepens et al. [25] are a way to reveal these means of aggregations filtered subsets trajectories. Since filtering is often not sufficient for analysts express their domain knowledge, we propose use expressions instead. present flexible architecture density enable custom, versatile exploration using...

10.1109/tvcg.2011.181 article EN IEEE Transactions on Visualization and Computer Graphics 2011-11-04

Abstract Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing the complexity of geospatial temporal components, this kind cannot be analyzed by fully automatic methods but require involvement human analyst's expertise. For a comprehensive analysis, need considered from two complementary perspectives: (1) as spatial distributions (situations) changing over time (2) profiles local variation distributed space. In order support visual analysis...

10.1111/j.1467-8659.2009.01664.x article EN Computer Graphics Forum 2010-06-01
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