map_suite_querying
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map_suite_querying [2015/11/19 04:00] tgwikiupdate [Spatial Query] |
map_suite_querying [2015/12/03 09:40] (current) tgwikiupdate [Video Overview] |
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| + | {{filehistory:WebAPIEditionSample_Querying_CS_151111.zip|C# Project}} | ||
| + | [[source_code_webapieditionsample_querying.zip|View Source]] | ||
| + | [[http://samples.thinkgeo.com/WebApiEdition/SampleTemplates/QueryTools/leaflet/|Try It Online(Leaflet)]] | ||
| + | [[http://samples.thinkgeo.com/WebApiEdition/SampleTemplates/QueryTools/openlayers/|Try It Online(Openlayers)]] | ||
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| + | </div> | ||
| =====Overview===== | =====Overview===== | ||
| - | Map Suite WebAPI Edition supports multiple ways of how to query your map data layers. In this learning sample we are going to show you these query, including spatial query, SQL query and feature data query. | + | Map Suite WebAPI Edition supports multiple ways of how to query your map data layers. In this learning sample we will discuss some of the various querying tools. |
| ==== Spatial Query==== | ==== Spatial Query==== | ||
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| {{webapiedition:codesamples:QueryTool_Spatial_Query_Desktop.png?300x180}} | {{webapiedition:codesamples:QueryTool_Spatial_Query_Desktop.png?300x180}} | ||
| </div> | </div> | ||
| - | In this sample, there are several different spatial query types, including within, contains, disjoint, intersects, overlaps and touches. For example we do the within that will show all of the InternalFeatures that are within the target Feature. | + | Allows you to take one feature and see how they interrelate with other features. There are several different types of spatial querying: within, contains, disjoint, intersects, overlaps, and touching. |
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| {{webapiedition:codesamples:QueryTool_Query_Feature_By_Distance_Desktop.png?300x180}} | {{webapiedition:codesamples:QueryTool_Query_Feature_By_Distance_Desktop.png?300x180}} | ||
| </div> | </div> | ||
| - | The query function will show how to query features by distance and point. The query function needs user' distance and a point. It can query all features within a circle. The center of circle is the point and the radius of circle is the distance. | + | Another popular type of query in GIS applications is to query by distance. In this example we show you how to return countries within a given distance from a point. |
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| {{webapiedition:codesamples:QueryTool_Query_All_Feature_Data_Desktop.png?300x180}} | {{webapiedition:codesamples:QueryTool_Query_All_Feature_Data_Desktop.png?300x180}} | ||
| </div> | </div> | ||
| - | The query function will show how to query all data. You can get all features by feature source. All column values of the features will be shown in table, and you can query feature by record id. | + | This sample shows inner relation between tabular or feature data associated with each shape. In this sample we show a grid representation of each country in the world. When clicking on the result users are zoomed in to that specific country. This can be very helpful if you are using a data grid and want to be data driven or vice versa. |
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| {{webapiedition:codesamples:QueryTool_Query_Feature_By_Click_Desktop.png?300x180}} | {{webapiedition:codesamples:QueryTool_Query_Feature_By_Click_Desktop.png?300x180}} | ||
| </div> | </div> | ||
| - | The query function will show how to query feature by click map.You can query feature by click map. All column values of feature are shown in table. | + | Users can also click on the map to find all features associated with what was clicked on. In this example we click on Brazil which returns all the attribute data associated with Brazil. This sample shows you how to use the map click event and how to query through the API. |
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| {{webapiedition:codesamples:QueryTool_SQL_Query_Desktop.png?300x180}} | {{webapiedition:codesamples:QueryTool_SQL_Query_Desktop.png?300x180}} | ||
| </div> | </div> | ||
| - | The query function will show how to query features by SQL. You can query features by SQL. All features information are shown in table. | + | This sample we use the power of SQL which allows users to write custom queries against their data sources. In this example we wrote a SQL query to return any countries that are landlocked. For the result we highlight each country that meets the criteria. This is another great way on how you can use the various querying APIs to analyze your data. |
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map_suite_querying.1447905646.txt.gz · Last modified: 2015/11/19 04:00 by tgwikiupdate