Spatial Data Model

Guidance: This chapter describes the core content of the whole GIS theory. In order to use information system tools to describe the real world and solve its problems, it is necessary to model the real world. For Geographic Information Systems, the result is a spatial data model. Spatial data models can be divided into three types:

  • Field model: It is used to describe the phenomenon of continuous distribution in space;

  • Element model: It is used to describe various spatial objects;

  • Network model: It can simulate all kinds of networks in the real world;

Among these models, some related concepts are introduced, such as spatial partition, spatial relations, and the formal description of topological relations - 9 intersection model.

Finally, it describes the expansion of general two-dimensional data model in space and time, time data model and three-dimensional data model.

It is worth noting that the field model and element model mentioned in this chapter are similar to the latter mentioned raster data and vector data, but the former is a conceptual model, the latter refers to its implementation in information systems.

  • The real world where human life and production is composed of things or entities, and it has a complex structure. As f...
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  • For simulating phenomena with continuous spatial distribution, the field-based view is appropriate, such as the concen...
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  • Three Ground Object Elements in Euclidean Space and Euclidean Space # Many geographic ...
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  • Basic Concepts of Spatial Relations # The following contents are centrally stored in t...
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  • Cyberspace # The founder of network topology system research was recognized as Leonard...
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  • Overview of Spatiotemporal Data Model # Research overview # ...
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  • At present, with the rapid development of computer technology and the gradual improvement of computer graphics theory,...
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Principles, Technologies, and Methods of Geographic Information Systems  102

In recent years, Geographic Information Systems (GIS) have undergone rapid development in both theoretical and practical dimensions. GIS has been widely applied for modeling and decision-making support across various fields such as urban management, regional planning, and environmental remediation, establishing geographic information as a vital component of the information era. The introduction of the “Digital Earth” concept has further accelerated the advancement of GIS, which serves as its technical foundation. Concurrently, scholars have been dedicated to theoretical research in areas like spatial cognition, spatial data uncertainty, and the formalization of spatial relationships. This reflects the dual nature of GIS as both an applied technology and an academic discipline, with the two aspects forming a mutually reinforcing cycle of progress.