A Spatial Entropy based Decision Tree Method Considering Distribution of Spatial Data

Spatial Data Dynamic Balancing Distribution Method Based on the Minimum Spatial Proximity for Parallel Spatial Database

Spatial data balancing distribution can evidently improve the performance of parallel spatial database in shared nothing parallel architecture. Considering spatial locality and unstructured variable length characteristics of spatial data, this paper proposes a dynamic spatial data balancing distribution method under shared nothing parallel database environment. By using Hilbert ordering code to...

A Spatial Entropy-Based Decision Tree for Classification of Geographical Information

A decision tree is a classification algorithm that automatically derives a hierarchy of partition rules with respect to a target attribute of a large dataset. However, spatial autocorrelation makes conventional decision trees underperform for geographical datasets as the spatial distribution is not taken into account. The research presented in this paper introduces the concept of a spatial deci...

A Decision Tree for Multi-Layered Spatial Data

Spatial data mining fulfils real needs of many geomatic applications. It allows taking advantage of the growing availability of geographically referenced data and their potential richness. Nowadays, spatial data mining is a clearly identified field of data mining. This article deals with the spatial data classification using a decision tree. We propose a new method called SCART. This method dif...

Spatial Distribution Of Iranian Population In Canada: A Portrait Using The 2001 Census Data

Web-based spatial data distribution systems

Traditionally, it has been very diffi cult for an enterprise to consolidate its disparate map data into a single, seamless database, and integrate this signifi cant asset into the decision making process. For the past 30 years, organizations around the world have been capturing spatial data digitally in a wide variety of data formats. With thousands of data formats, sharing mapping data is a co...