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I strongly agree with Eric about not applying confidence intervals to Moran's I it would be misleading to do so. That said confidence intervals do not translate into an absolute certainty no matter where they are used. This is statistics and absolute certainties do not exist.
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09-24-2020
04:31 PM
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CLASSIFICATION: UNCLASSIFIED Do you know Python? I so you can use the Python API and write a script to filter your table on road lengths and road types and then use the Pandas and Seaborn libraries to make a histogram. I have also seen a new little set of libraries called plot.ly but I haven't used them yet. If you don't know Phython, I would suggest exporting your table to a CSV file and importing it into Excel and use Excel's plotting tools to make your histogram. I hope this helps
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08-12-2019
12:41 PM
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David, I would suggest using R to do the analysis of your points and then plotting the result in ArcMap to make the Map. If you are more fluent in using the ESRI's R-bridge than I am, you may be able to figure out a way to do this from within ESRI. Below is a link to a paper which may help. The paper I think is by Prof. C. Brunsdon at University of Leicester. The paper focuses on trying to find out how car ownership varies across the country (England) and uses the centroid (x,y) coordinates of zones where people live as data points. The paper is based on Fotheringham et al. (2002) Geographically Weighted Regression: The Analysis of Spatially Varying Relationship, published by Wiley. Now that said, your ability to do this will depend on your familiarity with R. The attached paper was written some time ago and refers to an earlier version of R which may not be quite the same as the current version of R. So, you may encounter some difficulty lining up the script in the paper with the current version of R. This can cause frustration, but I encourage you to try as you will learn a great deal in the process and improve you Spatial Statistics skills dramatically. R is an excellent tool to know well if your work has you doing a great deal of statistics, spatial or otherwise. http://www.bristol.ac.uk/media-library/sites/cmpo/migrated/documents/gwr.pdf Best Wishes, Bill Meyer, US Army Corps of Engineers - ERDC Champaign
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11-21-2018
08:59 AM
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CLASSIFICATION: UNCLASSIFIED Carla, Hot Spot analysis is approximate, especially Hot Spot analysis using polygons. That said the fellow that wrote the book on how to use hot spot analysis for polygons in my opinion was Luc Anselin using his GeoDa analysis engine. I would refer you to Luc's work to gain better insights into your analysis. If you want to e-mail him directly he currently is on faculty at the University of Chicago. Best of Luck. Bill Meyer U.S. Army ERDC Champaign, Il
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10-16-2018
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