A variable is simply the name of a storage area for the program to operate on. In C#, each variable has a specific type, which determines the memory size and layout of the variable. Values within the range can be stored in memory and a series of operations can be performed on variables.
We have discussed various data types. The basic value types provided in C# can be broadly divided into the following categories:
Types | Give an example |
|---|---|
Integer type | Sbyte, byte, short, ushort, int, uint, long, ulong and char |
Floating point type | Float and double |
Decimal type | Decimal |
Boolean type | True or false value, specified valu |
Null type | Data types that can be nullable C# allows you to define variables of other value types, such as C# syntax for variable definition Here, Some valid variable definitions are as follows: You can initialize when a variable is defined: Variables are initialized (assigned) by an equal sign followed by a constant expression. The general form of initialization is: Variables can be initialized when declared (specify an initial value). Initialization consists of an equal sign followed by a constant expression, as follows: Some examples: Initializing variables correctly is a good programming habit, otherwise sometimes the program will produce unexpected results. Take a look at the following example, using various types of variables: When the above code is compiled and executed, it produces the following results:
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.
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