Archive for September, 2010
Next I applied clustering to the customer points which resulted in a much more appealing display.
The clustering algorithm automatically creates the clusters and then re-creates the clusters as you zoom in.
Let’s spend a little time discussing how you can easily integrate clustering in your application. Here are the basic steps.
Now that you’ve downloaded the files you can code your application to take advantage of the clustering. There are a couple requirements. First, the clustering algorithm uses the basemap’s tiling scheme for its “grid” which means you will need a tiled basemap. The WKID of the features being clustered should also be one of the following:
- Projected: 102100, 102113
- Geographic: 4326, 4269, 4267
- Or matching the WKID of the basemap
On to the code. I’ve created a displayCustomers() function which executes when the user clicks the Display button. Inside this function I first create a QueryTask object that points to my customer layer. This is a tiled map service. I also create a Query object and set several parameters. This Query object acts as input to the QueryTask object. Here we have defined parameters to return the geometry of the features, return all records (1=1) and specified that we’d like to return the Address and LastName fields. This is highlighted in green in the figure below.
Once the QueryTask has finished executing a featureSet is returned to the callback function which creates a new ClusterLayer object. Several parameters are supplied for the creation of this object.
- map – refers to an esri.Map objects from the AGIS API
- features – this is just a reference to the featureSet that was returned from the QueryTask execution
- infoWindow – configuration options for the infoWindow that will appear when you hover over each individual graphic point. You can see an example of this below.
- flareLimit – the number of “flare graphics” that can appear around a cluster (default is 20)
- flareDistanceFromCenter – the distance in pixels that the flare graphics appear from the center of their cluster.
From there we simply call Map.addLayer passing in our new instance of the ClusterLayer object. That’s pretty much all there is to it. I’ve included some screenshots below to show the flaring and infoWindows. Once again, thanks to Adam at globoserve for creating this really useful functionality that many of you will no doubt use in your applications.
I’m looking for someone to do a very short term contract ArcSDE job. If you’re experienced with installing and configuring ArcSDE on MS SQL Server please contact me at: eric at geospatialtraining.comRead Full Post | Make a Comment ( None so far )
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Just wanted to share a few interesting articles and blog posts that you might be interested in reading over the long weekend.Read Full Post | Make a Comment ( None so far )