(The dateline of abstract submission is 27 April 2014)
Geographical reasoning is an important way of thinking about the world and its inhabitants, but our abilities in spatial thinking and reasoning are still quite primitive and require extensive exploration. Geographic knowledge is the product of geographic thinking and reasoning about the world’s natural and human phenomena, but it has now evolved from the phenomenological to the intellectual, from understanding “what” and “where” to “why” and “how”. This is initiating a change from an emphasis on geographic form to an emphasis on geographic process.
To date, geographic modelling and simulation is now regarded as a fundamental approach to geographic process mining and complex geographic problem solving and has led to many cutting-edge geographical analysis tools, such as those involving in working with Virtual Geographic Environments (VGEs). VGEs offer a new generation of geographic analysis tool based on new types of web- and computer- based geographic environments which are built for understanding geographic processes and problem solving. Besides new kinds of databases and new forms of ‘big’ data, other core geo-process models have demonstrated the increasing importance of building of VGEs, with model sharing and model integration as its key issues.
To bridge the gap between model building and the design of geographic analysis tools, this conference aims at providing facilitation and communication between experts from multidisciplinary domains so that they are able to discuss several issues about how to make full use of geo-process models for geographic knowledge discovery.
The 8th International Symposium on Spatial Data Quality will be held at The Hong Kong Polytechnic University from May 30th to June 1st 2013. The Symposium provides an interdisciplinary forum for leading scientists and young researchers to present their latest research developments and share their experience in this field. The Symposium will include keynote speeches and parallel sessions.
- Uncertainties in real world entities and ontology
- Spatial accuracy assessment
- Accuracy evaluation for DEM
- Temporal uncertainty in spatial data
- Incompleteness of spatial data
- Logical consistence in spatial database
- Semantic uncertainty in geographic data
- Uncertainty in remotely sensed image processing
- Uncertainty versus scales
- Quality assessment in spatial data generalization
- Spatial data models for uncertain objects in GIS
- Model validation with imperfect ground truth data
- Assessment of quality of crowdsourcing spatial data
- Uncertainty propagation in spatial analyses and operations
- Spatial querying and reasoning with uncertain data
- Uncertainty in geographical and environmental analysis
- Spatial data quality and decision making
- Spatial statistics
- Geostatistical methods for spatial data quality assessment
- Stochastic spatial simulation
- Spatial data quality and web- and mobile-based services
- Uncertainty in geovisual analytics
- Quality of spatial data visualization
- Meta-data and model for GIS data
- International Society for Photogrammetry and Remote Sensing (ISPRS) WG II/1, WG II/2, WG II/4, WG II/6, ICWG II/IV
- Department of Land Surveying and Geo-Informatics, Faculty of Construction and Environment, The Hong Kong Polytechnic University
- School of Remote Sensing and Information Engineering, LIESMARS, Wuhan University
- Dr Paul Cheung Director, Statistics Division, Department of Economic and Social Affairs, United Nation
- Prof Mike Goodchild Department of Geography, University of California, Santa Barbara, USA
- Prof Brian G Lees Editor-in-Chief, IJGIS, School of Physical, Environmental & Mathematical Sciences, University of New South Wales: Canberra, Australia
- Prof Deren Li State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China
- Prof Alfred Stein Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, The Netherlands
Deadline for Abstract Submission: 31st January 2013
Notification of Acceptance: 15th February 2013
Deadline for Full Paper Submission: 15th April 2013
Early Bird Registration: 15th April 2013
Symposium Date: 30th May 2013 – 1st June 2013
The Organizing Committee invites abstract submission for consideration by the programme committee and inclusion in the Symposium programme. Abstracts should be 250 – 500 words in English and should reach the Symposium Secretariat (firstname.lastname@example.org) before 31st January 2013. Online submission system will be opened soon.
A CD publication will be published and distributed during the Symposium. A book with selected papers from the Symposium will be published after the Symposium.
Interested parties please visit http://www.lsgi.polyu.edu.hk/ISSDQ2013 for up-to-date information and registration.
Should you have any enquiries, please contact the Symposium Secretariat at email@example.com or Miss Fiona Fong at +852 3400 3897 or Miss Violet Tsang at +852 2766 4350.
Organizing Committee, ISSDQ 2013
You are cordially invited to join the Virtual Geographic Environment (VGE) Workshop on GeoInformatics 2012, which will be held on 14 June 2012 in Hong Kong.
Details about the VGE Workshop and the GeoInformatics 2012 can be found at:
The Department of Land Surveying & Geo-Informatics of The Hong Kong Polytechnic University is organizing an Annual Seminar on Spatial Information Science and Technology (ASSIST 2011), which is the 7th of its annual seminar series. The impetus of ASSIST is to provide a forum for all participants working in the broad field of Spatial Information Science and Technology to showcase the work they are doing. Unlike other conferences and symposia, the aim of ASSIST is to provide a friendly and relaxed atmosphere that will allow participants to gain an understanding of what is currently being done in Hong Kong and the neighbour regions, to exchange ideas, and establish new relationships.
The ASSIST 2011 will be held on September 30, 2011 at The Hong Kong Polytechnic University. It will feature 14 speeches focusing on remote sensing, GIS, virtual reality, and photogrammetry.You are cordially invited to join the seminar. Details about the ASSIST 2011 can be found here.
Aiming at modeling large-scale 3D geospatial information (e.g., in metropolitan environments) in a virtual reality vision, the Virtual Reality Laboratory of Wuhan University in China recently developed a full 3D GIS platform, which is named as GeoScope. GeoScope provides a full professional solution for 3D geospatial data integration, management, visualization, analysis, and application. GeoScope is characterized by: (1) unified 3D city models supporting multi-scale semantic representation of outdoor & indoor and aboveground & underground 3D objects; (2) high-efficient 3D geospatial database engine enabling integrated management of massive 3D geospatial data for real-time applications; (3) high-performance visualization engine exploiting the massively parallel computation architecture of modern GPUs, supports real-time realistic rendering of large-scale complicated 3D geospatial environments; and (4) extendible software architecture facilitating multi-modal integrative applications of 2D GIS and 3D GIS.
GeoScope has been successfully used to build a Digital Wuhan City. Wuhan is the largest city in middle China. Digital Wuhan covers the whole Wuhan city area of 8494 km2. Below shows a few snapshots of the Digital Wuhan system.
Figure 1. Indoor & outdoor routing for emergency response
Figure 2. Synchronous exploration above and under the ground
Figure 3. Multi-scheme comparison in urban design