The < AppML > library contains a large number of functions. These functions can be called from your web page.
The < AppML > library is loaded.
JavaScript statement: app=new AppML(“appml.htmlx”,”Models/Customers.xml”); Create the AppML application object, and then execute the web server script “appml.htmlx” to load the data from the “Customers.xml” file.
JavaScript statement app.run(“Place01”,”Template01”); Insert the data into the HTML element of the id= “Place01”, using the id= “Template01” attribute element as the template.
Attribute id=”appml_row” Each piece of data is defined to be inserted into the HTML element.
The data in the # tag is replaced with the data of the model.
All of the above, can you imagine a faster prototype?
You can put the < AppML > object on the HTML page. < AppML > does not affect the rest of the page.
< AppML > the default is the standard display page when the solution page does not exist. This is the perfect rapid prototyping.
But the main function of < AppML > is not for the display of the page. < AppML > is mainly about reading application data. The data it brings can be designed to display by freely using HTML, CSS, and JavaScript. You can:
Write your own HTML and let AppML process the data.
Invokes the model and handles all displays.
Use the properties and methods of AppML to create other combinations.
You will soon find that < AppML > has powerful capabilities to provide data and data models for your web applications. You can:
Define data security for users or user groups
Connect to all types of databases, such as Access, MySQL, SQL, and Oracle
Connect XML file and Text file
Define data types, data formats, and data restrictions.
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.