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In allusion to the problem of fragmentary annotation in some GIS software, the author points out one new method: connection of annotation and geographical object. Taking the dynamic annotation of curve for example, the author discusses its process in detail, which is applied to the development of our own GIS software.
Data visualization can represent clearly the data difference and data change trend. It can help scientific researchers find the rules and trends behind the data quickly. In the process of monitoring eco-environment in Three Gorges reservoir area, a large database (>TB) of data has been acquired. How to fully utilize these data to analyze the trend and evaluate the eco-environmental impact of Three...
Spatial clustering is an important research topic in spatial data mining (SDM). It is not only an important effective method but also a prelude of other task for SDM. Grouping similar data in large 2-dimensional spaces to find hidden patterns or meaningful sub-groups has many applications such as satellite imagery, geographic information systems, medical image analysis, marketing, computer visions,...
Spatial clustering is important to the application of artificial intelligence in spatial information system. After introducing clustering's basic concept, some shortcomings of current clustering algorithms were analyzed, and the steps of improving on them were given as the following. First, a way of transforming vector data to grid was presented, and a formula of calculating grid-unit's value was...
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