![]() There are three things to consider when undertaking any hot spot analysis: You can reapply the default rendering, if needed, by re-applying the layer symbology. The hot to cold rendering applied is defined by a layer file in \Resources\ArcToolBox\Templates\Layers. When this tool runs in ArcMap, the Output Feature Class is automatically added to the table of contents with default rendering applied to the Gi_Bin field. If there is a selection set applied to the Input Feature Class, only selected features will be analyzed, and only selected features will appear in the Output Feature Class. This tool creates a new Output Feature Class with a z-score, p-value, and confidence level bin (Gi_Bin) for each feature in the Input Feature Class. For more information about determining statistical significance and correcting for multiple testing and spatial dependency, see What is a z-score? What is a p-value? Output ![]() For statistically significant negative z-scores, the smaller the z-score is, the more intense the clustering of low values (cold spot). For statistically significant positive z-scores, the larger the z-score is, the more intense the clustering of high values (hot spot). The Gi* statistic returned for each feature in the dataset is a z-score. When the FDR correction is applied, statistical significance is adjusted to account for multiple testing and spatial dependency. The local sum for a feature and its neighbors is compared proportionally to the sum of all features when the local sum is very different from the expected local sum, and when that difference is too large to be the result of random chance, a statistically significant z-score results. To be a statistically significant hot spot, a feature will have a high value and be surrounded by other features with high values as well. A feature with a high value is interesting but may not be a statistically significant hot spot. This tool works by looking at each feature within the context of neighboring features. The resultant z-scores and p-values tell you where features with either high or low values cluster spatially. But having a frozen credit report can also prevent you from opening new lines of credit.The Hot Spot Analysis tool calculates the Getis-Ord Gi* statistic (pronounced G-i-star) for each feature in a dataset. This can keep identity thieves from being able to use your personal information to open new accounts in your name. Having a frozen credit reportįreezing your credit reports is a way to restrict access as a security measure. In this case, additional details may be needed in order to process your application. For example, mistyping your date of birth or incorrectly inputting your address can result in mismatching information between your credit report and your application. Mistakes on the applicationĪccidental errors on the application may cause a delay in processing. If all the information listed above isn’t included, it could take longer to process your application. Checking and/or savings account information.Social Security number or Individual Taxpayer Identification Number (ITIN).When you apply for a Capital One credit card, Capital One requires the following information: In some cases, Capital One may need to verify the information in your application or collect additional information before approving or declining your application. There are a few reasons why a credit card’s application status may be delayed: Missing information Why wasn’t my credit application approved immediately? To learn more about credit card timelines, check out how long it takes to get a credit card. You can also store your card information in a digital wallet and use it from there while you wait for your physical card to arrive. After a quick security check, you’ll see the key card details you need to check out online: your virtual card number, expiration date and three-digit security code.Not seeing this button? Tap on your credit card account and under Recent Transactions, tap Virtual Card. Under your credit card balance, tap Get Your Virtual Card. ![]()
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