Abstract
In the face of ever-growing and complex massive multi-source spatiotemporal data, the traditional vector data model is increasingly difficult to meet the needs of efficient data organization, management, calculation and analysis. Based on the simple and widely used geographic grid data organization model, this paper designs a technical method to convert vector data into multi-scale grid data, establishes a unified, standardized and seamless land spatial grid data model, and analyses the area accuracy of multi-scale grid data. Practice shows that the model can better meet the needs of multi-scale geospatial information integration and analysis, and it is easy to carry out distributed data processing, which provides technical support for the efficient organization, fusion and analysis of spatiotemporal data.
Highlights
Using big data to improve social governance and enhance government services and regulatory capabilities is becoming a trend [1]
With the deep integration of spatial information technology and resource management, spatial data is growing in variety and complexity
These data are managed by different departments, and the standards of data scale, coordinate system and data format are different, which causes the barriers of data analysis and application [2]
Summary
Using big data to improve social governance and enhance government services and regulatory capabilities is becoming a trend [1]. These data are managed by different departments, and the standards of data scale, coordinate system and data format are different, which causes the barriers of data analysis and application [2]. China is a country with vast territory, diverse types of resources, complex land use types and land use structure [3], so the spatial and temporal scales of data required by various geoscience applications are different [4]. In order to meet the needs of fine and diversified multi-source and multi-scale spatial data integration analysis of natural resources, it is necessary to establish a unified data organization model supporting multidimensional information interoperability. Based on the standardized geographic graticule, this paper constructs a multi-scale land spatial grid system on the land survey data, to provide a solution and base map for multi-source spatial data fusion and calculation of natural resources
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