Transcript

No transcript available for this video.

What's New in Spatial Statistics: Space-Time Cluster Analysis

Esri staff show how to identify space-time hotspots, detect spatial-temporal outliers, and group features using space-time constraints.

  • Recorded: Jul 24th, 2012
  • Runtime: 14:40
  • Views: 795
  • Published: Nov 2nd, 2012
  • Night Mode (Off)Automatically dim the web site while the video is playing. A few seconds after you start watching the video and stop moving your mouse, your screen will dim. You can auto save this option if you login.
  • HTML5 Video (Off) Play videos using HTML5 Video instead of flash. A modern web browser is required to view videos using HTML5.
Download VideoDownload this video to your computer.
<Embed>Customize the colors and use the HTML code to include this video on your own website
480x270
720x405
960x540
Custom
Width:
Height:
Start From:
Player Color:

Right-click on these links to download and save this video.

Comments  (7)

All Comments
To post a comment, you'll need to login.
If you don't have an Esri Global Login ID, please register here.
You can find documentation about visualizing the output in 3D here: http://resources.arcgis.com/en/help/main/10.2/index.html# //005p00000056000000. There is a space before the double slashes (//) to ensure the whole link shows up. Just delete that when you copy and paste the link. Hope this helps!
lrosenshein 5 Days ago
Report
You mention documentation for the 3d? Is that available?
Jschnitz 2 Weeks ago
Report
@thivanka.siriperera  Thank you for providing the additional details. I have forwarded them to Lauren Scott. For further ***istance, please e-mail Lauren directly at lscott@esri.com. She will be able to ***ist you further.
KarenJaffarian  (Staff Comment) 6 Months ago
Report
@KarenJaffarian  Thanks for the quick response, but i still have some things unresolved would appreciate if you can help me resolve these things.

1) Point data that has a time field cannot be integrated with a tolerance before using [collect_events] tool, as each date is required to carry out space-time analysis if I'm not wrong

2) By using the [incremental_autocorrelation] the optimal distance threshold can be identified as the input for the [Getis-Ord Gi*] hotspot tool. Likewise isn't there a tool to find out the best time interval the most pronounce temporal clustering is happening to be provided as a input for creating a "spatial weights matix" for time window option.

3) After I created the spatial weights matrix I tried to collect the events to create [ICOUNT] field thinking it will carry the ***ociated [ICOUNT] values ***ociated to the spatial weights matrix. Then as u suggested I populated the FID field and carried out the hotspot analysis. But the in the processing messages it indicated that the id did not match with the "id" field that was provided as input for hotspot.

4) as a solution what I did was created a table using the swm file then added x coordinate as a field also added a x coordinate field in the collected events feature set and joined both the feature dataset with the table thinking the x coordinates should match with each others. When I did this I was able to go ahead with the time-space analysis

5) Is that method ok according to your best practices?

Sorry for asking so many questions. It would be great if you can clarify these doubtful areas to me soon.


Many Thanks
Thivanka
thivanka.siriperera 6 Months ago
Report
@thivanka.siriperera  On behalf of Lauren Scott, one of the presenters, here's what you need to do:

To create a unique ID field:

1) Use Add Field … type LONG… call the field something like UniqID
2) Use Calculate Field to populate the new field with the FID or OBJECTID

If you can explain a bit more about what you are trying to do, Lauren is happy to help. Please feel free to e-mail her directly at lscott@esri.com.
KarenJaffarian  (Staff Comment) 6 Months ago
Report
  • Showing 1 to 5 of 7
  • 1
  • 2
  • »