In recent years, there has been a growing interest in indoor navigation tools and applications. As such, various approaches to indoor navigation have been developed by research institutions (e.g. SoleWay, Nadine-navigation) and commercial companies (e.g. Eyedog,Insoft, IndoorAtlas, SPREO Indoor Navigation, Meridian). Although, these approaches often highlight the importance of landmarks, they rarely incorporate landmark-based path-finding algorithms. A major difficulty remains the identification of landmarks in indoor environments. Moreover, commonly used spatial models are not fully capable of handling basic characteristics of landmark-based wayfinding. During this talk, a theoretical approach to identify landmarks through eye tracking measures and a way to implement these landmarks in a path-finding algorithm are presented.
Since 2013, Pepijn Viaene is a researcher at the Department of Geography, Ghent University. His PhD research is entitled “Indoor landmarks: the study and implementation of navigational aids” and deals with wayfinding and navigation in buildings. This research specifically focuses on the identification of landmarks and the use of landmarks in path algorithms and smartphone applications. Before starting his PhD, he studied Geomatics and Land Surveying.
We are happy to announce a CartoTalk by Trias Aditya, from the Department of Geodetic Engineering at UGM, Indonesia.
Abstract: Haze problems over Sumatera and Kalimantan have been a prolonged issue to mainly firing of drained peatland. In addition to accelerating greenhouse emission threats, the peatfire has caused health problems and major economic losses. Peat forest conversion to agriculture land by utilizing drainage canals is one of main drivers to be restored. Water and peatland management are among the key targets for eliminating the trans-boundary haze problems. Surveying and mapping technologies such as Aerial Photos and LiDAR are required to support hydrological restoration plans in order to keep peatland in Sumatera and Kalimantan are still wet even in dry periods. Surveying and mapping activities are also required to support environmental monitoring to fight fires and canals’ development. Satellites and aerial imageries, such as satellite data and UAV, equipped with multi sensors suited to monitor haze problems, could be deployed to support haze monitoring. In addition to that, human sensors need to be activated to enable participatory monitoring. This apps will be offered to help community and decision makers fight peatfires while at the same time to support sustainable peatland management at community level. The research study presented in this talk combines LiDAR, satellite, field and crowd data to support community-based haze mitigation. Yet, in order to raise community awareness on haze issues from fires from the peatland, geospatial-based game application was initiated through gamification and design workshop. Data from two apps, geo-crowd and geo-game are gathered and analyzed into a decision-support dashboard.
Trias Aditya completed his Bachelor of Engineering in Geodetic Engineering from UGM (1998). He received his MSc in Geoinformatics from ITC (2003) and PhD in Geoinformatics from ITC/Utrecht University (2007). His research interests include Cartography, Geospatial Data Infrastructure, Interoperable Geospatial Information System for Land Administration, Disaster Management, and Peatland Management.
We are happy to announce a CartoTalk by Benjamin Hennig on Tuesday, 31 May 2016, where he will talk about his main research field: Cartograms.
We need new maps: In a world increasingly influenced by human action and interaction, we still rely heavily on mapping techniques that were invented to discover unknown places and explore our physical environment. Starting from how people can be put on the map in new ways, this talk outlines the development of a novel technique that stretches a map according to quantitative data, such as population. The new maps are called gridded cartograms as the method is based on a grid onto which a density-equalising cartogram technique is applied. The underlying grid ensures the preservation of an accurate geographic reference to the real world. It allows the gridded cartograms to be used as basemaps onto which other information can be mapped. This applies to any geographic information from the human and physical environment. As demonstrated through the examples, the new maps can show any quantitative geospatial data, such as wealth, rainfall, or even the environmental conditions of the oceans. The new maps also work at various scales, from a global perspective down to the scale of urban environments. The gridded cartogram technique is proposed as an alternative map projection that is a viable and versatile alternative to other conventional map projections. The maps based on this technique open up a wide range of potential new applications to rediscover the diverse geographies of the world. They have the potential to allow us to gain new perspectives through detailed cartographic depictions.
Benjamin is a geographer educated at the Universities of Cologne & Bonn and the Alfred Wegener Institute for Polar and Marine Research (Bremerhaven/Germany) where he conducted research on hyperspectral remote sensing applications in coastal ecosystems. After working as a research assistant and lecturer in human and urban geography at the Urban and Social Geography Working Group of the Department of Geography, University of Cologne (Germany) he joined the Social and Spatial Inequalities Research Group at the University of Sheffield (UK). He completed his PhD as part of the Worldmapper project with research on visualising the social dimensions of our planet. He then worked as a research assistant and then as a senior research fellow at the Department of Geography at the University of Sheffield investigating social inequalities, humanity’s impact on Earth, global sustainability and new concepts for the visualisation of these issues and now continues this work as a senior research fellow in the School of Geography and the Environment at the University of Oxford. Here he also is a member of the research cluster on Transformations: Economy, Society and Place. – more about Benjamin
Tuesday, 31 May 2016, 13:30 (1.30pm) Gußhausstraße 25 EI5 Hochenegg
We are very happy to host a CartoTalk by Anita Graser of the Austrian Institute of Technology (AIT) on Thursday, 28 April 2016.
Abstract: Since its founding fourteen years ago, QGIS has come a long way. Started as a mere data viewer, it now provides a vast array of GIS functionality, tool integration, extensible plugins, and—cartographic capability. Slighted in years past for its inability to make a “pretty” map, QGIS now provides a vast array of features for cartographers. This talk gives an overview of the current status of cartographic features in QGIS, discusses the most recent developments, and finally provides an outlook towards planned future developments.
Anita Graser is a researcher at the AIT Austrian Institute of Technology and an open source GIS advocate serving on the OSGeo board of directors and QGIS project steering committee. Her primary research interests focus on GIScience for mobility research questions, analyzing and visualizing spatio-temporal data. She currently teaches at the University of Applied Sciences Wiener Neustadt, and at UNIGIS Salzburg and the Technical University of Vienna. Furthermore, she publishes a popular blog on open source GIS at anitagraser.com and is author of Learning QGIS, and QGIS Map Design.
We are very happy to host a CartoTalk by Irene Fellner of the Vienna University of Economy and Business (WU) on Thursday, 17 March 2016.
Abstract: Indoor navigation systems have become a prominent area of interest in recent years. However, there are still some unresolved challenges in this context. In particular, the question in which way landmark-based indoor routing instructions can be generated automatically has not been addressed yet.
This talk introduces an Indoor Landmark Navigation Model (ILNM) which proposes an approach to generate indoor routing instructions including landmarks automatically, based on the information available in spatial indoor databases. The model consists of three phases: landmark identification, landmark selection and landmark integration.
In order to evaluate the ILNM, it was applied to the data of the Campus GIS of the Vienna University of Economics and Business. The application demonstrates that the ILNM basically produces correct route instructions including landmarks. A comparison to solely metric-based instructions shows that landmarks are important to increase the quality of indoor route instructions. However, the generated route instructions also disclose some gaps in the model and unresolved challenges of automatic indoor routing generation.
Irene Fellner is employed as a project manager at IT-Services of Vienna University of Economy and Business (WU) and was responsible for the development of an indoor navigation system („Campus GIS“) for the new campus of WU. She studied Commerce majoring in Computer Science at WU and completed the postgraduate UNIGIS MSc studies.
We were very happy to host a CartoTalk by Wilhelm Berg, developer at Mapbox.
Abstract: Mapbox is a service provider offering map tiles – similar to Google, Microsoft or Apple. However, Mapbox puts a lot of focus on making it easy for developers to design custom maps for the web or mobile.
Mapbox is based on open data (OpenStreetMap) and open software, which is available on Github. Currently, over 470 repositories are offered, which cover a broad spectrum of functionalities from mapbox.js (based on Leaflet), to iOS C++ SDK, Android C++ SDK and Mapbox Studio (map design tool).
Being a geographer and hydrologist by education Wilhelm Berg has used and programmed GIS since day one of his studies at university. For his company BergWerk GIS he has developed big data solutions ranging from desktop to web and mobile. Since 1,5 years he is partnering with Mapbox to ensure key Mapbox tools (mapnik, osmium, OSRM, Mapbox Studio, …) deliver the same performance and stability on Windows as on other operating systems.
Archaeological landscape characterisation using LiDAR data
Abstract: The contemporary availability of high-resolution, high-accuracy digital terrain models sourced from LiDAR data collection exercises has allowed archaeologists and other landscape scientists to examine landscapes of interest in more detail and in a more quantitative manner. This talk describes some initial examination of human-influenced (i.e. disturbed) landscapes in northern England from various periods in history, with reference to LiDAR-sourced data, and speculates whether it will be possible to use further non-geometric characteristics of the LiDAR data to derive additional information about such landscapes. The methods of representation of such disturbed landscapes are also considered.
David Fairbairn has been employed by the Newcastle University since 1978. A wide variety of geospatial data handling issues have been of research interest over that period, including the structuring and presentation of terrain data, the quantification and use of indices of map complexity, the effective visualisation of map designs, the linkage between mapping and navigation, and issues connected to crowdsourcing and cartographic requirements for SDIs.
Tuesday, 26 May 2015, 14:00, Seminar room 122
Gusshausstraße 27-29, 3rd floor, wing CC
We invite you to our next CartoTalk by Eleonora Ciceri from Politecnico di Milano.
Abstract: Humans in the loop: Optimization of active and passive crowdsourcing Abstract: Crowdsourcing has become a hot topic in the last years: many companies base their core business on it and computer scientists study how to optimize it. Yet, there still are unsolved questions that need to be answered. On the one hand, in an active crowdsourcing context (i.e., the one in which workers actively contribute by solving tasks on crowdsourcing marketplaces) there is the need of identifying among all the possible tasks the ones that are useful (i.e., which ones bring additional knowledge and information) and discard the others. On the other hand, in a passive crowdsourcing context (i.e., the one in which we analyze user-generated content), if someone is in need of identifying topic-related content and influencers (i.e., people that influence other users in thoughts and actions), it is important to identify content features and users behaviors that an automatic pipeline could exploit to find relevant content and influential users without the help of humans. In this brief seminar, we will discuss what crowdsourcing really is, and we will cover these aspects, presenting some of the results that we achieved with our research.
Eleonora Ciceri is a Post-Doc researcher at Politecnico di Milano, Italy. She had a BSc degree in 2009, an MSc degree in 2011, and a doctoral degree in Computer Science Engineering at Politecnico di Milano. Her research interests are top-K query processing, social media, crowdsourcing, human computation and multimedia.