Scala allows you to specify that the last argument to the function can be duplicated, that is, we do not need to specify the number of arguments to the function, we can pass a variable length argument list to the function.
Scala sets variable parameters (repeatable parameters) by placing an asterisk after the type of the parameter. For example:
object Test {
def main(args: Array[String]) {
printStrings("Runoob", "Scala", "Python");
}
def printStrings( args:String* ) = {
var i : Int = 0;
for( arg <- < span> args ){
println("Arg value[" + i + "] = " + arg );
i = i + 1;
}
}
}
Execute the above code, and the output is as follows:
$ scalac Test.scala
$ scala Test
Arg value[0] = Runoob
Arg value[1] = Scala
Arg value[2] = Python
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1. Sqlite
47
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1. SVG tutorial
19
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1. C# tutorial
61
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1. Memcached
20
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1. Angularjs2
8
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2. Vue3
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2. Go
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2. Servlet
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2. Docker
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3. React
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3. Kotlin
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3. Mongodb
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3. Android
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web
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26
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11. HTML tutorial-(HTML5 Standard)
54
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12. Http
6
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14. Regexp
7
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1. Geographical Information Systems in the World Wide Web Era
4
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2. Basic technology of WebGIS
4
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3. Geographic Web Services
5
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4. aggregation of geographical information
4
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5. mobile GIS
5
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6. Geographic information portal
3
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7. New generation national spatial data infrastructure and GIS
4
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8. Application of WebGIS in E-Commerce
3
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9. Application of WebGIS in E-government
3
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10. Hotspots and frontiers of WebGIS
2
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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1. Introduction to Geographic Information Systems
6
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2. From the Real World to the Bit World
3
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3. Spatial Data Model
7
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4. Spatial Reference Systems and Map Projections
5
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5. Data in GIS
4
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6. Spatial data acquisition
2
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7. Spatial Data Management
6
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8. Spatial analysis
8
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9. Digital Terrain Model (DTM) and Terrain Analysis
5
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10. Spatial modeling and spatial decision support
6
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11. Spatial data representation and map making
6
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12. 3S Integration Technology
5
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13. Network Geographic Information System
4
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14. Examples of Geographic Information System Application
8
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15. Organization and Management of Geographic Information System Application Projects
10
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16. Geographic Information system Software Engineering Technology
7
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17. Geographic Information System Standards
3
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18. Geographic Information System and Society
3
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19. Earth Information Science and Digital Earth
4