2. Vue3

  • 2.2.1. 1.Independent version ¶ We can do it in Vue.js ...
    2025-10-25 12:21:08 UTC
  • Package the Vue project using the following command: cnpm run build Execute the above comm...
    2025-10-25 12:21:08 UTC
  • In the previous chapter of Vue3 installation, we used the Vue init command to create a proje...
    2025-10-25 12:21:07 UTC
  • In the previous chapter, we used npm for the installation project (Vue-cli and Vite), we ope...
    2025-10-25 12:21:07 UTC
  • At the beginning of learning Vue, we do not recommend using the vue-cli command-line tool to...
    2025-10-25 12:21:07 UTC
  • Vue uses HTML-based template syntax, which allows developers to declaratively bind DOM to the data of the underlying V...
    2025-10-25 12:21:08 UTC
  • 2.8.1. Conditional judgment ¶ v-if ...
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  • Recycle use v-for instructions. v-for instructions need to b...
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  • Component (Component) is Vue.js one of the most powerful functions. Components can ...
    2025-10-25 12:21:07 UTC
  • Calculation attribute keywords: computed . Computational attributes are useful when...
    2025-10-25 12:21:06 UTC
  • In this chapter, we will introduce the Vue3 snooping properties watch we can pass through ...
    2025-10-25 12:21:08 UTC
  • 2.13.1. Vue.js Class ¶ class ...
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  • We can use it. v-on directive to listen for DOM events to execute JavaScript code. ...
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  • In this section, we introduce the applications on Vue forms. We can use v-model ins...
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  • Except for the core directive of the default setting v-model and v-show ...
    2025-10-25 12:21:07 UTC
  • In this chapter, we will introduce you to Vue routing. Vue routing allows us to access different content thro...
    2025-10-25 12:21:06 UTC
  • Mixins defines some of the reusable methods or computational properties. Blending objects can contain any component op...
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  • Recommended for Vue version axios to finish ajax request. ...
    2025-10-25 12:21:08 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.