Web-based Exercise #6:

Spatial Statistics and Analysis.



1. Overview

Estimated Time:  4 hours

Grading:  8 points total.

Learning Goal:  This exercise will introduce basic concepts of Geovisualization and spatial statistical analysis. After finishing this exercise, the students should be able to learn the most common spatial data analysis techniques in the context of exploratory data analysis environment.

Platforms:  PC, Mac, or UNIX.

Due Day: May 3 at 2:00pm. 

You should upload your lab answers to the Blackboard ( http://blackboard.sdsu.edu )  by the due date.  We will use the Timestamp on your documents in the Blackboard to check if your assignment is late or not.

(In your upload file, please use this title: [GEOG104-LAB-#-[Your name].doc (or txt or pdf).  Please write down your answers in MS Word or WordPAD or other word processing software.  Please always save a local backup copy of your own answers.)


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2.   GeoDa Tool for Spatial Analysis.

Dr. Luc Anselin, the director of the Center for Spatial Data Science at the University of Chicago, has been working on the development of theories and computer-based tools for spatial statistics for several decades. As one of his major contribution, GeoDa http://geodacenter.github.io/  is a typical spatial statistical analysis package devoted to the discovery of spatial patterns embedded in the geographical data. Please visit the GeoData web pages http://geodacenter.github.io/ .

Q1: What is spatial statistics? What are the differences between spatial statistics and the general statistics, or in other words, what makes spatial statistics special? (Refer to http://en.wikipedia.org/wiki/Spatial_analysis) https://www.esri.com/news/arcwatch/0410/lauren-scott.html


To to the GeoDa website and download the GeoDa Software to your local computer. (Windows, or Mac, or Linux).


Install the GeoData into your local computer.


Go to this "Basic Mapping" web page to learn the basic mapping functions in GeoDa.



Please answer the following questions AFTER you finish this on-line tutorial.


Q2: What is a "quantile map"?  What is the common problem with quantile maps in this exercise? What is the solution provided by GeoDa?

Q3: What is a "natural breaks map" ?  Who created the methods for the natural break maps?

Q4:  What is a "equal interval map"? What did you see the data distribution in the Histograph window?  What happen if you can the "Choose interval" from 4 to 20?  Please provide a screen shot of the Histogram window with "20" intervals?

Q5:  What is a Box map?  What are the advantages of using a Box map?

Q6: What is a conditional map? What is the value of creating a conditional map?

Q7: What are the major parameters used in an animation map?  What is the difference between "cumulative" vs. "not cumulative" animation map?

Q8:  Select another sample data in GeoDa and conduct a few diffreent maps.  Explain which sample data did you choose.   Save one map as a PNG format and submit it to the Blackboard (along with your report).