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Hi Jonathan! You can use the Make NetCDF Feature Layer tool to create points for input into the Create Space Time Cube tool. When you point to your data, the X Variable and Y Variable will auto-populate, but be sure to pick lat, long and time in the Row Dimensions parameter. This will create a unique point lat/long for each time period. Also, you may need to use the Project tool as climate data is not typically projected and the Create Cube tool requires projected data. Also, this post may also be useful. Hope this was helpful! Jenora
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03-14-2017
01:24 PM
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You can reapply the pattern by using the Apply Symbology From Layer tool. The Input will be your results and for the Symbology Layer navigate to wherever your install is ... \ArcGIS\Pro\Resources\ArcToolBox\Templates\Layers\Emerging_All.lyrx (for ArcGIS Pro. For ArcMap, use the .lyr file). That being said ... losing the symbology whenever you close a project and the fact that the output is being sent to the Project tab and not the TOC are not expected behaviors ... they sound like they may be set-up issues? You might reach out to tech support. Hope this was helpful! -Jenora
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02-10-2017
10:56 AM
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I'm going to look into the blog redirect issue for sure... In the meantime, I am happy to send you the chapter! Please email me at jdacosta@esri.com on where to send this. I don't think can upload it here on geonet (although I may be wrong) and I don't see an email in your profile. -Jenora
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01-30-2017
10:28 AM
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Hmm, I think setting the processing extent should have worked. Can you try setting the raster analysis mask to your study area? That may produce the results you need? The Optimized Hot Spot Analysis tool wraps the Kernel Density tool to create the output raster. You could also try running the Kernel Density tool itself with the same input data. To get the same results with the Kernel Density tool, use the optimal scale of analysis distance found by Optimized Hot Spot Analysis (it's reported in the results window) and use it as the Search Radius parameter for Kernel Density. Hope this helps, Jenora
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01-13-2017
02:29 PM
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The links seem fine from here as well. Kevin, Let me know which aren't working for you and I will investigate!
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01-12-2017
10:50 AM
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You would set a definition query on your input features (i.e. To get August, September and October it would be "Date Field begins with 8" Or "Date Field begins with 9" Or "Date Field begins with 10") and then export just those features or the Create Cube tool does honor selection sets and would create the cube based on the definition query. And, yes, that is what I have seen before modified dates that are sequential but representative - working like a key.
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11-03-2016
02:28 PM
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The way your data is formatted is not what the tool is expecting … The Time Field parameter is expecting you to point to one field with all of the dates in it so it can calculate the time span of your data. There is not an option to have your dates in multiple fields. You are probably getting the “10 time slices error” because there are not enough records in 2015 to create 10 time steps? How many records do you have for 2015? Basically, there should be 1 row in your table for each incident in your dataset. I am happy to help figure this out. Can you email me at jdacosta@esri.com?
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10-14-2016
01:31 PM
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The Focal Statistics tool will do this. Maybe helpful?
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10-12-2016
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Hi there, 1. For the Time Field parameter, just point to the field in your data set that contains the date. It doesn't matter right now that the dates vary. 2. For the Time Step Interval, if you want to analyze on a yearly basis, you should enter 1 Year. Since you have 10 years worth of data, this shouldn't be failing ... Please provide a little more information about the failing or error you are receiving and I am happy to help pinpoint the issue. 3. Time Step Alignment doesn't require a date, just specify one of the options. All this parameter is doing is telling the tool where to start chunking up your data. If you choose End Time it starts at the most recent date in your dataset and goes backwards in time. Start Time will start at the first date in your dataset and move forward in time. The reason this is important is because of any temporal bias that may be present in your dataset - basically you are choosing whether you want that bias at the start or at the end of your cube. This seems like it is going to be less important in your analysis since you know each year only has 2 months worth of data - since only 2 months out of 12 have data, the temporal bias in each time step (each year) is going to be 83% - the important thing is that we know that If you had measurements that were more continuous during the year and then the last year was basically 83% empty, you may want to choose to remove that year from the analysis. If you would like each year to start at January 1st, you should choose the Reference Time option and enter January 1 and whatever year your data starts for the Reference Time. This way every time step will be January 1st through December 31st. We just did a live training seminar on this topic (located here) and there is also a recording of our 2016 UC technical workshop (here). A tutorial as well as a free hands on web course are in the works! In the mean time, I hope the LTS and workshop are helpful. Feel free to contact me with any other questions you may have. I am happy to help. -Jenora
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10-10-2016
04:02 PM
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Hi Liz, The space-time cube is a netCDF file, but it has a very specific format and contains metadata that Emerging Hot Spot Analysis and the other Space Time Pattern Mining tools rely on for further analysis. At this time, if you want to use rasters to create a space-time cube, you must first convert to points and then do the aggregation into the cube. The Raster to netCDF tool turns your raster into the correct data format, but it uses the structure of the raster itself and so it won’t be anything like the space-time cube (because no aggregation occurs, which is very important). I hope this is helpful. Cutting out the raster to points step is definitely something we have thought about and we are working towards a solution to skip that step in the future. -Jenora
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07-13-2016
11:02 AM
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The first step would be to make sure it is a numeric field. Since you have both values and dashes it sounds like a string field. Beyond that, if you have missing data or null values, the tool will throw out the whole record and it will not be included in the analysis. To avoid those records being thrown out, you should find a way to predict or model the value at that location or use the average value -- whichever makes sense for your analysis.
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03-16-2016
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Hey Ethan! I am sorry you are having all of this trouble! A couple questions ... 1- What version of the software are you using? 2- Were you able to create the coefficient rasters? 3- For every prediction location, do you have explanatory variable values? Or are there some missing? The last thing I would mention is just to double-triple-check that the order of explanatory variables for the Explanatory Variables parameter is EXACTLY the same as the order of the variables listed for the Prediction Explanatory Variables. If you are willing to share the data for the clipped out smaller area and the settings you are using in the the tool, I am more than happy to look at it and try to figure out what's happening here. Email me at jdacosta@esri.com -Jenora
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02-22-2016
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This would be a very impactful analysis and it sounds like you already have some solid data! I have seen multiple cities and planning consultants dealing with this same issue. I would start with an internet search to see the types of workflows that other cities and counties have implemented and then think about how you can alter those workflows to answer your specific questions. The Safe Routes to School National Partnership report (link below) has some really great information and things to think about as you plan your analysis. http://saferoutespartnership.org/sites/default/files/pdf/A-Framework-for-GIS-and-Safe-Routes-to-School.pdf Hope this was helpful. -Jenora
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11-30-2015
10:21 AM
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You can use the Near tool to calculate the distance from the tobacco stores to the nearest park and then the nearest school or you can use the Generate Near Table tool if you would like the distance to the nearest 3 parks and the nearest 3 schools (or any other number). You could then average in the table or use the Dissolve tool to average based on each tobacco store and join back to the tobacco retailers layer.
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11-30-2015
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