4.5.1. < AppML > data model: ¶
<appml security="security">
<datasource>
Datasource definition goes here
datasource>
<filters>
Filter definitions goes here (if any)
filters>
<update>
Update definitions goes here (if any)
update>
<anything>
Anything you want to add to the model
anything>
appml>
4.5.2. < AppML > Security ¶
< AppML > Security is set through the security attribute in the < AppML > tag.
<appml security="artists">
The above application begins with security definition attributes, and only artists users are allowed to log in.
In this case, the user name logged in must be a member of the “artists” group.
4.5.3. < datasource > element ¶
The < datasource > element applied by < AppML > defines four different data types:
Child element (only one can be applied) ¶
element
Description
< database >
Define data types
< xmlfile >
Define XML source files
< csvfile >
Define a comma-delimited text file
4.5.4. < database > element ¶
The < database > element defines the database
Child element ¶
element
Description
< connection >
Link database name
< execute >
SQL statement executed before data retrieval (optional)
< sql >
SQL statements for retrieving data
< maintable >
Master table of the application (optional)
< keyfield >
Key field of the main table (optional)
4.5.5. Data stored in the SQL database ¶
This is the most common solution for data-oriented applications.
<datasource>
<database>
<connection>CDDataBaseconnection>
<sql>SELECT Artist, Title, Country FROM CD_Catalogsql>
database>
datasource>
The above model can select three data options (Artist, Title, Country) from the “CD_Catalog” table of the “CDDataBase” database.
The number of rows returned as a result is unknown.
4.5.6. Data stored in XML files ¶
< AppML > can read data from a XML file:
Example ¶
<appml>
<datasource>
<xmlfile src="cd_catalog.xml">
<record>CDrecord>
<item>
<name>Titlename>
<nodename>TITLEnodename>
item>
<item>
<name>Artistname>
<nodename>ARTISTnodename>
item>
<item>
<name>Countryname>
<nodename>COUNTRYnodename>
item>
xmlfile>
datasource>
appml>
This method stores data in a XML file on the server.
4.5.7. Data is stored in a text (Text) file ¶
< AppML > can read data from a text file:
Example ¶
<appml>
<datasource>
<csvfile src="cd_catalog.txt">
<item>
<name>Titlename>
<index>1index>
item>
<item>
<name>Artistname>
<index>2index>
item>
<item>
<name>Pricename>
<index>5index>
item>
csvfile>
datasource>
appml>
This method can store data in a text file on the server.
4.5.8. You can create a database if you want. ¶
< AppML > you can create a database if necessary:
<database>
<connection>CDDataBaseconnection>
<execute>
CREATE TABLE CD_catalog (
CD_Id INT IDENTITY,
Title NVARCHAR(255),
Artist NVARCHAR(255),
Country NVARCHAR(255),
Company NVARCHAR(255),
Price NUMBER,Published INT)
execute>
database>
Perfect the rapid prototyping model!
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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
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1. Angularjs2
8
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1. SVG tutorial
19
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1. Memcached
20
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1. C# tutorial
61
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1. Sqlite
47
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2. Go
43
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2. Docker
59
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2. Vue3
19
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2. Servlet
21
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3. React
23
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3. SOAP tutorial
10
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3. Android
18
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3. Mongodb
44
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3. Kotlin
18
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4. Lua
31
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4. MySQL tutorial
34
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4. Appml
12
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5. Perl
45
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5. Postgresql
41
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web
15
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5. Web Services tutorial
6
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6. Ruby
41
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6. Design-pattern
35
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7. Django
18
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7. Rust
22
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6. WSDL tutorial
8
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8. Foundation
39
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9. Ios
43
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8. Css3
26
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9. Swift
43
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11. HTML tutorial-(HTML5 Standard)
54
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12. Http
6
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13. Regex
6
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14. Regexp
7
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