Data in GIS

Guidance: the processing of spatial data is the core function of GIS, the data in GIS usually describes three parts of information: spatial information (location, spatial relationship, etc.), non-spatial attribute information, time information. According to its measurement scale, the data can be divided into four types: fixed name, fixed ratio, interval, and ratio. Due to various reasons, there are quality problems in GIS data, understanding the quality of data is conducive to the correct use of data and avoiding the situation of “Garbage In, Garbage Out”. Data quality can be described by metadata, in a nutshell, metadata is a description of data, metadata helps data sharing and efficient use as GIS applications continue to evolve and spatial data grows.

This chapter describes the above.

  • The meaning of the data # Data # Data is the ca...
    2023-08-23 01:42:48 UTC
  • The measurement of specific phenomena is to assign or score them according to certain criteria. In order to describe t...
    2023-08-23 01:42:48 UTC
  • GIS is an integrated system based on computer software, hardware and data, the system mainly achieves spatial retrieva...
    2023-08-23 01:42:48 UTC
  • Metadata can be translated into metadata and is data that describes the data. In geospatial data, metadata is backgrou...
    2023-12-08 01:10:05 UTC

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.