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@JasonFuller here is another option for you if you are using ArcGIS Pro 2.8 or later. You can use the Data Engineering view to view statistics for all or selected features - here is the documentation that shows you how. You could use this to view the statistics of an area field you create using the Calculate Geometry Attributes tool, which you can access from the Construct group on the ribbon (or from the Geoprocessing pane). This tool supports unit conversion, so you can create the area field in whichever unit you prefer.
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10-17-2023
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Hi @MHzzz123, Would the Average Nearest Neighbor tool help at all? If not, would you mind explaining in a little more detail exactly what question you are trying to answer with this workflow? Thanks
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08-11-2022
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Hi @KManl, Hopefully you figured out the problem? I am wondering if the resolution of the rasters used to predict was different from those that were used to train. If that is the cause, then you could use the Resample tool to adjust the resolution of the rasters used to predict. Lynne
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06-20-2022
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Do your GIS workflows involve data exploration tasks? Do your GIS workflows involve data preparation tasks? Are you an ArcGIS Pro user? Have you used the new Data Engineering view in ArcGIS Pro? If your answer is yes to ANY of the above questions, the Data Engineering product development team would love to hear from you! Share your feedback. Data Engineering is an important part of analysis and mapping workflows. The Data Engineering view in ArcGIS Pro was released last year in ArcGIS Pro 2.8, and aims to streamline this process, making it easier to get to know your data and get it ready for your workflows. The Data Engineering view facilitates data exploration, in which you familiarize yourself with the data to understand fields and values, and data preparation, where you modify and clean the data to prepare it for the next steps. If you’ve used the Data Engineering view in ArcGIS Pro, then we hope that it has improved your GIS workflows. If you’ve not used Data Engineering, we’d like to hear about your data preparation and data exploration workflows. Your candid feedback, both positive and negative, will be extremely valuable to help us evaluate the current functionality and plan future development. If you’d like to offer your feedback, you can respond to this survey. It should take around 10-15 minutes to complete. Thank you for your time!
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03-30-2022
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Hi @ZianChoy So excited to hear you are interested in the Data Engineering view! Converting a field type is something we're actively discussing internally - we think it would be really useful to streamline this process. If you'd like, you could add it as an ArcGIS Pro idea so that you can be updated if it becomes part of the software. Thanks, Lynne
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07-16-2021
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@FyneAde-Amadi you might be interested in the new Data Engineering view in ArcGIS Pro! Here is the documentation, and it was also showcased in this video from the UC plenary today. The Statistics button that was mentioned by @JayantaPoddar is definitely another option that is possible in ArcGIS Pro. This opens a chart of the field, and in the Chart Properties pane, several statistics are shown.
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07-12-2021
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Hi @NatalieRobbins, You can use the field Local Percent Deviance, which is a value between 0 and 1, to map as a substitute for r2. This metric is a goodness of fit metric, so plays the same role in the poisson (and logistic) model as r2 does for the gaussian model. R2 is not used because the R2 equation does not hold in the poisson model. The Outputs section of the tool documentation explains in more detail what the percent deviance metric means. Lynne
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05-18-2021
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Hi @A_n_d_r_e_a , The date format does look correct, however the error is saying the data has irregular intervals. Since the space time cube that you are trying to create is a data structure that is used for statistical analysis, it requires regular time intervals, as these are an assumption of the statistical techniques. If you right click the mosaic you used to make the multidimensional raster, then open the properties, you can check the interval in this section: If it says (Irregular) instead of (Regular), then the multidimensional raster you create won't be able to be used to create a space time cube. Lynne
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05-18-2021
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Hi @KLMapes , The Location ID must be a numeric field. I would recommend using the Calculate Field tool to create a new Short or Long field with the same values from your GNIS_ID field. Lynne
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05-17-2021
09:31 AM
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Hi @Alec , Glad to hear my blog article is helping you out, but sorry you are having trouble with the time intervals. Yes, it is a requirement of the space-time cube that the data has equal intervals. The space-time cube is used with statistical tools in the Space Time Pattern Mining toolbox. These statistical methods, such as those used in Emerging Hot Spot Analysis or the Time Series Forecasting toolset are based on the assumption that each time bin has equal intervals. hence if the intervals are not equal, the results may be incorrect. Hope this helps! Lynne
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04-13-2021
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Hi Antonio Saavedra, You can create a space-time cube in ArcGIS Pro with a personal use license! The license gives you access to ArcGIS Desktop Advanced license level (ArcGIS Pro and ArcMap). You need ArcGIS Pro basic, standard, or advanced to create a space-time cube. This video explains how to use the Create Space Time Cube by Aggregating Points tool, plus other tools from the Space Time Pattern Mining toolbox. At this time, you can't create a space-time cube in ArcGIS Online. Hope this helps! Lynne
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08-28-2020
01:42 PM
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Hi Sam Andrews, The table in this documentation page shows you what each of the Emerging Hot Spot Analysis patterns actually mean. You can imagine that many of these might change if a time step is missing - for example, a New Hot Spot is "A location that ... has never been a statistically significant hot spot before.". Perhaps this location was a hot spot in your missing year, hence this result might be wrong. There isn't really a perfect solution but I see two options - one, as you suggested, simply acknowledge that there is a gap that could impact the results. Two, is to impute the values of the missing year with sensible values based on the values of neighboring years. I would do this by creating your 2006 features with null values, then filling these values using the Fill Missing Values tool with the Fill Method as Temporal Trend. This way you get an imputed value at each location for 2006 that adheres to the general trend of the values in each location. Regards, Lynne
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07-28-2020
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The Exploratory Regression tool will not be able to compute a result with a single feature. You can't model the relationship between the variables with only a single data point. If possible, you might want to adjust the parameters of your Grouping Analysis so your groups have a more reasonable number of features. You can read more about regression at this ArcMap documentation page. I am the author of the video you linked. Much of the workflow in that demo is covered in this Learn lesson. If you have questions I would urge you to post them in this GeoNet forum so other users can learn and help answer your questions. But if you still have questions for me, you can message me in GeoNet and I will provide you my email address.
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07-28-2020
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Hi Ei Pyone, If you are using ArcGIS Pro 2.3 or later, you can use the Logistic model to run GWR with the binary variable as the dependent variable. The tool supports continuous, binary and count models. This documentation goes into more details about each of the models. You can use categorical variables as the explanatory variables, as long as you encode these. Depending on your problem, you might also be able to use the Forest-Based Classification and Regression tool. Regards, Lynne
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07-27-2020
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Hi Diana Barros, Were you able to open the Spatial Statistics tools? None of the tools require an advanced license. Lynne
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07-27-2020
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1 | 07-12-2021 04:37 PM | |
1 | 03-30-2022 03:12 PM | |
1 | 04-13-2021 04:03 PM | |
1 | 05-18-2021 03:17 PM | |
1 | 07-27-2020 04:02 PM |
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