سال انتشار: ۱۳۸۶
محل انتشار: دومین همایش مقابله با سوانح طبیعی
تعداد صفحات: ۱۷
Sharon Kazemi – School of Surveying and Spatial Information Systems The University of New South Wales, Sydney, NSW 2052, Australia
Samsung Lim – School of Surveying and Spatial Information Systems The University of New South Wales, Sydney, NSW 2052, Australia
This paper aims to reports on development of a knowledge-based solution “Generalization Expert System (GES)”. A brief description of key steps undertaken in building GES and its components will be described. GES is being developed in Java and Python for delivery of simplifiedspatial data. It can assist emergency planners/decision makers to produce maps which exposed to risk or affected by natural or technological disasters, and facilitating timely evacuation, rehabilitation, damage assessment and modelling. Also GES offers a convenient way to access and navigate the various GIS datasets and performs generalisation processes. Its capabilities will be demonstrated in a case study through simplifying GEODATA TOPO-250K Series 2 data into 1:500000 and 1:1000000 scales over Canberra Australia. The produced maps will assist emergency managers and field crow involved in recovery/reconstruction to understand the scope of the damage and identify locations that require support and rescue for the affected areas. To date, many advanced applications has been developed which requires high technical skills but GES has a simple and user friendly GUI that brings many benefits for users with less technical skills and knowledge of spatial data management.