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Similarity assessment is the fundamentally important to various remote sensing applications such as image classification, image retrieval and so on. The objective of similarity assessment is to automa...
Most spatial data in GIS are not independent, they have high autocorrelation. For example, temperatures of nearby locations are often related. Most of the spatial association rule mining algorithms de...
For the sake of environmental change monitoring, a huge amount of geospatial and temporal data have been acquired through various networks of monitoring stations. For instance, daily precipitation and...
A new algorithm “T-Apriori” based on time constraint is designed and implemented on the basis of analyzing the related definitions and general steps of temporal association rule mining. The concepts o...
When the ability of people’s collecting data becomes strong, the quantities of data are increased rapidly and a mass of data are submerged. The present database system cannot discover the existed rela...
SDMKD (Spatial Data Mining and Knowledge Discovery) from GIS database is different from the general DMKD (Data Mining and Knowledge Discovery), which is dominated by properties of geographical spatial...
The prevalence of allergic diseases has highly increased in recent decades due to contamination of the environment with the allergy stimuli. A common treat is identifying the allergy stimulus and, the...
In general, the location of traffic accidents is described as an address with text, so they are difficult to display on the map. The paper discusses how to utilize the geocoding technology and VRS-GPS...
Organisations like the International Cartographic Association champion programmes that develop and deliver education and training to cartographers and geospatial scientists, globally. This can be in...

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