The GIS unit develops and applies fundamental methods and techniques in Geographic Information Science. Our research focuses on environmental applications of GIS, digital cartography, and mobile systems. Our methodological toolset draws from an interdisciplinary range of research fields, including spatial analysis and statistics, algorithms development, and computer science techniques such as data mining and agent-based modeling. Our methods have in common that they seek structure in spatio-temporal data, thereby extract geographic information from that raw data, and ultimately aim at generating knowledge that may lead to a better understanding of geographic patterns and processes.
Research projects in the GIS unit receive funding from the Swiss National Science Foundation, the European Commission, the European COST program, the federal CTI technology transfer program, as well as charitable foundations.
Research in our unit is pursued in two main strands — digital cartography and mobile systems, and environmental geoinformatics — further expanded on below.
Full project list from the UZH research database: http://www.research-projects.uzh.ch/a20.htm
Digital Cartography and Mobile Systems
GIS are evolving all the time, but maps and map-like visualizations are still the dominant form of communicating geographic information to users of GIS, even in the days of online mapping services and mobile, ubiquitous computing, and the years to come. Work in this group therefore focuses on two main issues.
First, we are interested in developing methods to automatically generate maps at the scale and with the content that is appropriate to the user’s task. This calls for research in automated map generalization and multiple representation databases, where we have a long-standing reputation that also resulted in industry products. It also calls for research in cartographic pattern recognition and so-called data enrichment, as geospatial data are often ill-equipped with the rich semantics that is needed to drive complex processes such as map generalization.
As a second focus of our research, we seek to exploit the opportunities of mobile and ubiquitous computing for GIS and cartography. We have developed mobile information systems for protected areas such as national and regional parks, and we have experimented with geography-oriented m-learning (mobile learning). Since our keen interest is in generating useful maps, scaling is also an issue in mobile systems, and hence we develop methods for real-time map generalization and service-oriented architectures for generalization in web and wireless mapping.
Generalization for Portrayal in Web and Wireless Mapping (GenW2)
Ontology-driven Recognition of Urban Structures from Spatial Databases (ORUS)
Visual Analytics of spatio-temporal gaze Point Patterns in Eye movements (PopEye)
Web based generalisation services for online maps (SerAx)
Derivation of topographic maps from digital landscape models (DRIVE – Derivation of vector models)
WebPark - Geographically relevant information for mobile users in protected areas
GenDem: Map Generalization for Thematic and On-Demand Mapping in GIS
AGENT: Automated Generalisation - New Technology
Environmental applications of GIS have a long history and form a key focus of the GIS unit. In particular, we have been involved in planning and implementing GIS strategies and facilities for several protected areas, such as the Swiss National Park and Naturlandschaft Sihlwald. Protected areas form an important interface between society and nature, and therefore offer interesting opportunities for environmental education and awareness building among the general public. To the specialized researcher, protected areas are hot spots of research activities. Current research explores the concept of ecosystem services provided by protected areas.
The analysis of the spatio-temporal footprint of moving objects forms an important focus of the Environmental Geoinformatics group. In the last decade, advances in tracking technologies resulted in geographic information representing the movement of individuals at previously unseen spatial and temporal granularities. Movement analysis is important in wide range of application fields, including behavioral ecology, transportation and mobility research, surveillance and security, and even sports analysis. Movement data offers new insights into dynamic geographic processes but also challenges the traditionally rather static spatial analysis toolbox. The Environmental Geoinformatics research group develops and applies spatio-temporal analysis methods for a better understanding of such movement processes. The GIS group chairs the COST Action MOVE, a European research cooperation initiative, aiming at coordinating and promoting spatially informed research on movement analysis
GIS Forest Reserve Sihlwald (GIS/NLS)
Context-Aware Simulation of trajectories of Moving Objects (CASIMO)
Context-Aware Movement Analysis (CAMA)
Use of Machine Learning in the Analysis of Tracking Data
Ecosystem Services in Protected Areas
MOVE: Knowledge Discovery from Moving Objects (COST Action IC0903)