Abstract

To explore the constraint range of geographic video space, is the key points and difficulties to video GIS research. Reflecting by spatial constraints in the geographic range, sports entity and its space environment between complicated constraint and relationship of video play a significant role in semantic understanding. However, how to position this precision to meet the characteristic behavior extraction demand that becomes research this kind of problem in advance. Taking Rough set theory reference involved, that make measuring space constraint accuracy possible. And in the past, many GIS rough applications are based on the equivalence partition pawlak rough set. This paper analyzes the basic math in recent years in the research of rough set theory and related nature, discusses the GIS uncertainty covering approximation space, covering rough sets, analysis of it in the geographic space constraint the adjustment range.

Highlights

  • GIS is a spatial information system that with the capacity of the collection, storage, management, analysis and description of the earth surface and space distribution [1, 2]

  • Spatial data shows increasing important in the found and remake nature projects of people activity, the research and application of spatial data mining increasingly aroused concerns, and the rough set theory is one of the important methods introduced to the data mining, in 1995 Theresa Beaubouef tried to describe a database model based on the original rough sets theory, and introduced some rough relational database models which include systems involving ambiguous, imprecise, or uncertain data [27], and Wang used GIS attribute mining as an example to analyze the application of rough set in GIS data mining [28]

  • Rough set theory is a data analysis tool, which provides a powerful tool for the expression of GIS uncertainty information and processing, and offers favorable conditions to solve uncertain boundary space constraints

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Summary

INTRODUCTION

GIS is a spatial information system that with the capacity of the collection, storage, management, analysis and description of the earth surface and space distribution [1, 2]. Due to the geographical phenomenon of changing over time, the spatial data can only express one geographical phenomenon in one particular time, by that among of these studies, the considered space targets are mainly to explicitly recognize space entities (such as roads, rivers, etc.), the uncertainty is mostly caused by measurement, digital data acquisition, and subsequent spatial analysis [11, 12]. This paper mainly probes into the uncertainty of this kind of spatial constraint, which includes introducing rough set into the geographical border uncertainty research, besides its basic concepts and essence (in part 2), the expression methods and rules of spatial relationship, and the applied analysis in GIS (in part 3), this paper discusses the current research progress, future development and difficulties (in part 4 and part 5)

Basic conception of rough set
The Rough thoughts of spatial direction relationship
Rough set expression of spatial relationship
The spatial relationship rules extraction
GIS data
Spatial data mining
Fuzzy geographical object modeling
The combination of rough set and other soft computing methods
CONCLUSION
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