Managing method of statistical space-time database

Abstract

The invention discloses a statistical space-time database and a managing method thereof. A framework comprises an administrative code dynamic maintenance module, an administrative division changing and maintaining module, a statistical data introducing and managing module, a spatial data version management and dynamic update module and a space-time data matching and associating module, wherein the statistical space-time database comprises data expression forms of historical statistical data, version space data and the current statistical data, in particular to periodic census data, sampling and cruising data, systems of statistical reports and major cruising data which are covered by the statistical industry; and the statistical space-time database managing method can be divided into the management and the updating maintenance of the spatial data version and the introduction and management of the statistical data. The invention increases the backtracking inquiry for historical statistical data and the comparison ability of historical data and current data, enhances the space-time expression ability for the statistical data by using a dynamic visualization technology and simulates an evolution process of a statistical unit along a time sequence and the distribution of the statistical data in the process.

Description

technical field [0001] The invention relates to a database and a management method thereof, in particular to a construction and management method of a spatio-temporal database oriented to the statistics industry. Background technique [0002] Statistical survey, as a means to comprehensively understand the country's social and economic operation, can provide the government with an assessment of the level of economic development. Its main characteristics are the huge amount of data and the complicated indicator system. With the continuous advancement of information technology, the development of modern database technology provides an effective management method for massive and complex statistical data, but statistical data based on year, quarter, month, etc. Statistical unit, which means that statistical data itself has dual attributes of time and space. With the development of space technology, GIS is introduced into the statistics industry as a new way of thinking, providi...

AI Technical Summary

Problems solved by technology

These models have different properties and advantages and disadvantages, but none of them can meet the needs of the statistical industry very well.

For example, the sequence snapshot model is composed of a series of time slices, each time slice represents the state of the map at different times, it can also be understood as a set of atlases with the concept of time, each map has a time attribute, the disadvantage is that it only records The state of each time slice is not directly presented for expressing changes in a certain time period, and the data redundancy is large; the space-time cube model is composed of two spatial dimensions and one time dimension, and analysis along the time dimension can be found The disadvantage of the evolution mode of two-dimensional space is that as the years increase, the operation of the cube will become extremely complicated; in order to avoid repeated recording of each time node, the ground state correction model defines the spatial state at a certain time point as the ground state, that is, The original state, and then record the spatial change part at a certain time frequency. The disadvantage is that the operation of the change before the ground state is more complicated; there are other spatiotemporal database model ideas, such as object-oriented spatiotemporal model ideas, feature-based spatiotemporal Database models, event-based spatio-temporal database models, etc., all use object-oriented or differential recording methods to record spatial changes and their interrelationships. The requirements of numerous statistical levels and cannot well meet the needs of statistical departments in terms of business applicability

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