Enabling
visual explorations
of large-scale geospatial data over the Web is
practically useful in many
domains. While sophisticated techniques have been
developed in GIS and spatial
databases to speed up query processing and more
complex analytical tasks, the limited
network bandwidth and computing power of Web
browsers have made explorations of
large-scale geospatial data over the Web a true
technical challenge. Our
research focuses have been on designing and
implementing novel efficient data
structures and algorithms on the server side to
improve overall system performance.
Needless to say, there are quite a few practical
technical issues to be solved,
such as security and user access control, efficient
communications between
clients and servers and effective GUIs, to build
real-world applications.
Online
Demo: URL http://geoteci.engr.ccny.cuny.edu/birds30s/BirdsQuest.html
Related Publication:
1.
Jianting
Zhang (2012).
A high-performance
web-based information system for publishing
large-scale species range maps in
support of biodiversity studies. Ecological
Informatics 8: 68-77. [Link][Local
Copy]
2.
Jianting
Zhang,
Michael Gertz, Le Gruenwald, Efficiently Managing
Large-Scale Raster Species Distribution Data in
PostgreSQL. Proceedings
of ACM-GIS09, Nov. 4-6,
3. Jianting
Zhang,
Efficiently managing large scale species range
maps in a spatial database
environment, Proceedings of 17th
International Conference on
GeoInformatics, Aug 12-14, 2009,
Online
Demo:
Related Publications
1. Jianting Zhang and Simin You. Supporting
Web-based Visual Exploration of Large-Scale
Raster Geospatial Data Using Binned
Min-Max Quadtree. Proceedings
of the 22nd
International Scientific and Statistical
Database Management Conference
(SSDBM10). June
30-July 2 2010,
2. Jianting
Zhang
and Simin You. Dynamic Tiled Map
Services: Supporting Query-Based
Visualization of Large-Scale Raster Geospatial
Data. Proceedings
of the 1st International Conference on Computing
for Geospatial Research &
Application (COM.Geo10). June 21-23,
Project
page with Screen Snapshots
Online
Demo (password
required)
Brief Description: NYC has more than 1.7 traffic million crashes from 1998 to 2007. As part of the NYC Traffic Calming Measurement project, we have been working with the Office of Road Safety at the NYC Department of Transportation (NYCDOT) to develop a Web-based tool to efficiently manage crash records over the Web. While the project is application driven and considerable efforts have been put on improving user interfaces, several optimization techniques have been developed which are more interesting from a research perspective.