Tailoring Spatial Reference in Early Warning Systems to Administrative Units

Earth Science Informatics, 2011, Volume 4, Number 1, Pages 7-16

Matthias Lendholt

“This paper presents a novel approach for early warning systems to transform the spatial reference of dispersion models into addressable administrative units enabling an intelligible warning message reception and spatial awareness. The spatial reference along the entire information chain from sensor measurements via dispersion model to warning dissemination is discussed. Core concept behind this approach is the application of the Egenhofer-Model for analysis of binary topologic relations. It is used to identify topologic relations between dispersion model forecasts and administrative units. The result set of intersection matrices defines the relations that are counted for area classification with hazard specific parameters. Following the design for a generic and hazard-independent web service based on Open Geospatial Consortium (OGC) standards is presented in combination with results of the reference implementation.”

Unfolding Participatory Urban Design, Capturing Spatial Feelings and Emotions in Digital Space

Proceedings of Spatial Knowledge and Information – Canada (SKI-Canada) 2011, March 3-6 in Fernie, BC, Canada

Korbin da Silva, Renee Sieber, and Raphaël Fischler

“This research aims to create a tool that allows participants to engage in citizen controlled urban design in a dynamic 3D environment. The citizens will be guided by a methodology developed in Christopher Alexander’s more recent work in the process of unfolding and generative codes (Alexander & CES 2002, 2002, 2004 2005). This will take place within the three-dimensional design software Google Sketchup, supplemented with ruby script applications that utilize the Google Sketchup application programming interface (API). Currently, 3D modeling and design software is ill-suited for facilitating public participation. The software requires high levels of technical training, and is designed only for a single user. Furthermore, Christopher Alexander’s methodology for urban design relies heavily on capturing and communicating the personal feelings and emotions that one experiences from a particular place. Current 3D modeling software is also unsuited for capturing and managing data such as this. Starting with Google Sketchup’s relatively simple user interface, I will create ruby plugins that walks users through an unfolding process of urban design. This application will show how 3D design software can be the centre of a public design process. This application will also show that by storing, and building off of human feelings and emotions in digital space, these attributes will become inherited naturally into a design project. This is in opposition to the normal procedure where a 3D model attempts to create and convey an emotional reaction from its finished product.”

GeoCENS: Geospatial Cyberinfrastructure for Environmental Sensing

GIScience 2010: Sixth international conference on Geographic Information Science, Zurich, Switzerland, 14-17th September 2010

S.H.L. Liang, D. Chang, J. Badger, R. Rezel, S. Chen, C.Y. Huang, and R.Y. Li

“In recent years, large-scale sensor arrays and the vast data sets they produce worldwide are being utilized, shared and published by a rising number of researchers on an ever-increasing frequency. With the rapidly increasing number of large-scale sensor network deployments, the vision of a World-Wide Sensor Web (WSW) is becoming a reality [1]. Similar to the World-Wide Web (WWW), which acts essentially as a “World-Wide Computer”, the Sensor Web can be considered as a “World-Wide Sensor” or a “cyberinfrastructure” that instruments and monitors the physical world at temporal and spatial scales that are currently impossible. However, realizing the worldwide sensor web vision is very challenging. Building a sensor web system requires addressing the following open problems:

  1. Discovering relevant data among the distributed sensors and delivering it to interested users efficiently
  2. Handling heterogeneous sensor networks and their data independently of the underlying network protocols, hardware, data models, and data formats.
  3. Preventing transfer large volumes of sensor data streams across the network
  4. Handling large numbers of sensors, and large numbers of users.

“In the GeoCENS (Geospatial Cyberinfrastructure for Environmental Sensing) project, we are designing an architecture and building a sensor web platform. With GeoCENS, users can maneuver a 3D sensor web browser, within a single virtual globe, in order to discover, visualize, access and share heterogeneous and ubiquitous sensing resources, and other relevant information. Our aim is to address the aforementioned technical challenges, propose innovative approaches, and provide the missing software components for realizing a worldwide sensor web.”