Tag: Spatial Statistics

Sneak Peek: Browsing ArcGIS.com Maps in Business Analyst Online

 by Sooria Jeyaraman

As you all know in our latest release we’ve added the capability to integrate ArcGIS.com maps in Business Analyst Online. Now we are stepping up the game and making it much easier to load. You can load the ArcGIS.com maps with a single click. How is that done you may ask? Continue reading

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Taking Analysis to the Next Level: Part 1

Lauren Rosenshein  By Lauren Rosenshein 

The Business Analyst team invited me to blog about some work I’ve been doing with the BAO API, and I’m really excited about the opportunity!

As a product engineer on the Geoprocessing and Analysis team, my team and I work hard to push the limits of what spatial analysis is and how it can be used to solve real-world problems, and we often use Business Analyst to take our analysis to the next level.

One very powerful use of spatial analysis and geoprocessing is Continue reading

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Spatial Pattern Analysis Free Training Seminar Now Available!

Are you an epidemiologist, crime analyst, demographer, emergency response
planner, transportation analyst, archeologist, wildlife biologist,
retail analyst, or other GIS practitioner interested in moving beyond
putting points on a map to analyzing spatial patterns and trends?

We’re really excited because the recording of the free live training seminar on Spatial Pattern Analysis is now available from the training website: Spatial Pattern Analysis.  We had over 2,000 attendees when it aired live, and we’re hoping that even more people are going to be able to take advantage of the recorded version of the seminar.  The session talks about:

  • Using descriptive spatial statistics to summarize the most
    important characteristics of a spatial distribution.
  • How global
    pattern analysis statistics assess and quantify broad geographic
    patterns and trends.
  • How to use local pattern analysis
    statistics to find hot spots, cold spots, and spatial outliers.

Check it out!

And for more Spatial Statistics resources, check out http://esriurl.com/spatialstats


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Background Geoprocessing and Spatial Statistics

When it comes to the Spatial Statistics tools in Version 10.0, there are a couple of things that you need to keep in mind when using background geoprocessing.  Many of the Spatial Statistics tools have textual output that can be viewed from the progress dialog box and the Results window when the tools are run in the foreground.   When the tools are run in the background, you must rely on the Results Window to give you all of that important information (and save it for future use). 

Let’s use the Spatial Autocorrelation (Moran’s I) tool as an example.  The Spatial Autocorrelation tool returns five values: the Moran’s I Index, Expected Index, Variance, z-score, and p-value.  These values are accessible from the Results window and are also passed as derived output values for potential use in models or scripts.  Right-clicking on the Messages entry in the Results window and selecting View will display the results in a Message dialog box (as illustrated below).  If you execute this tool in the foreground, output values will also be displayed in the progress dialog box.


     Optionally, the Spatial Autocorrelation tool will create an HTML file with a graphical summary of the results.  In previous versions, you could choose to have a graphic pop up tell you whether your results are clustered, random, or dispersed.  A similar graphic summary of your results is still available, but now it is actually saved as an HTML output.  This will help us as we share and review our findings in the future.  Double-clicking on the HTML file in the Results window will open the HTML file in your default Internet browser.


     Also keep in mind that if you are running model tools that you created in ModelBuilder, you will have to make sure that you set the output files (like HTML pages) as Model Parameters.  That way they will show up in the Results window.

     So, make sure that you remember how important the Results window is for many of the Spatial Statistics tools!  And for more resources on using the Spatial Statistics tools, check out our resources page at http://esriurl.com/spatialstats.

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Supplementary Spatial Statistics Now Available for Download

There is a new sample script toolbox called Supplementary Spatial Statistics ready for download from the Model and Script Tool Gallery.  The toolbox includes two sample script tools that we think you will find very useful.  The first tool is Exploratory Regression, which is designed to help you find a properly specified OLS model from a set of candidate explanatory variables.  The second tool is Incremental Spatial Autocorrelation, which is designed to help you figure out the right distance band to use for your spatial statistics analyzes.  Each tool includes several documents that will help you get started and learn more.

Supplementary Spatial Statistics Toolbox

We’ve also recently added several new tutorials that can also be downloaded from the Model and Script Tool Gallery.  To find those resources, and many more, check out http://bit.ly/spatialstats which is always up-to-date with the latest resources for Spatial Statistics.

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Spatial Statistics Resources


We’ve created a new resources page that we’ll be using to provide the latest resources and news. You can still use http://esriurl.com/spatialstats to get there, or access it directly at https://spatialstats.github.io/. If you have this blog post bookmarked, you may want to update it to the new site so that you don’t miss out on new resources!

Continue reading

Posted in Analysis & Geoprocessing, Migrate | Tagged , , , | 17 Comments

Tips and tricks for finding a good model using OLS and GWR

A user recently posted a great question on the forum about finding a good model using Ordinary Least Squares regression (OLS) and Geographically Weighted Regression (GWR).  We know that sometimes finding a good model is not as easy as it looks in a demo, and we spent quite a while putting together some of our tips and tricks to help the user get on the right track.  Some of the topics covered include transforming data that is not normally distributed, using coefficient maps from GWR to guide your variable choices, and the use of spatial variables.

Read the forum post here.

Hopefully our response will be a resource to all of you as you use
regression analysis to answer questions and solve problems!  

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Check out our chapter on Spatial Statistics in ArcGIS in the Handbook of Applied Spatial Analysis

Spatial Statistics Product Engineers Lauren Scott and Mark Janikas just published a great chapter in the new Handbook of Applied Spatial Analysis, edited by Manfred M. Fischer and Arthur Getis.  The book features 35 chapters on all sorts of spatial analysis topics, ranging from Spatial Statistics to Space-Time Data Analysis to Econometrics.  Lauren and Mark’s chapter outlines the powerful set of tools in the Spatial Statistics toolbox, as well as the diverse set of applications and disciplines that utilize spatial statistics.  It is an excellent starting-point for anyone interested in getting started with spatial statistics and learning more about the tools in ArcGIS.  The chapter is available for free here: Spatial Statistics in ArcGIS.  Check it out!




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Spatial Statistics: What’s so HOT about Spatial Pattern Analysis?

This blog post was written by Lauren Scott, Geoprocessing/Spatial Statistics Product Engineer in the Software Products Group at ESRI in Redlands.

Hot Spot Analysis is just one of the pattern analysis tools in the Spatial Statistics Toolbox.You can use these tools to explore spatial patterns in order to answer questions like:

  • Where are crime rates unexpectedly high?
  • Are there regions in the country where people live longer
  • Where do we find anomalous spending patterns?
  • Are there sharp boundaries between affluence and poverty?
  • Is the disease remaining geographically fixed or is it spreading?
  • Which features are most concentrated?
  • Does the spatial pattern of the virus mirror the spatial pattern of the population at risk?
  • Which site is most accessible?
  • Where is the population center?
  • Which species has the broadest territory?

To learn more about spatial pattern analysis, check out some of these resources:

- The ESRI Guide to GIS Analysis, Volume 2
- Understanding Spatial Statistics in ArcGIS 9, a free one-hour Web seminar
- The Spatial Statistics Toolbox online documentation
- View a five-minute video showing a hot-spot analysis of 911 emergency call data (click on “Using Spatial Statistics Tools”)
- Download a hot-spot analysis model from the Geoprocessing Resource Center.
- Extend Crime Analysis with ArcGIS Spatial Statistics Tools , Spatial Statistics Provide New Insights, or Spatial Patterns of Disease Inspire New Ideas on Possible Causes in ArcUser Online
- Spatial Pattern Analysis concepts are discussed in the ArcGIS 9.3 Web help and include Modeling Spatial Relations, What is a Z Score?  What is a P value?, and Spatial Weights.
- Technical workshop slides are available from the ESRI Public Health and Homeland Security Conferences.

Have fun!

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Spatial Statistics: Free Virtual Campus Web Seminar on Regression Analysis Basics

This blog post was written by Lauren Scott, Geoprocessing/Spatial Statistics Product Engineer in the Software Products Group at ESRI in Redlands.

There are a number of good resources where you can learn about the new regression analysis tools in ArcGIS 9.3.  The newest resource is a free one-hour Web seminar,  Regression Analysis Basics in ArcGIS 9.3, available for download from the ESRI Virtual Campus.

 Other Regression Analysis resources include:


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