Spatial Analysis Techniques in R

taught by Dave Unwin

This course will teach users how to implement spatial statistical analysis procedures using R software.

Analysts and researchers who need to know how to use and interpret the data from Geographic Information Systems (GIS's), including those in environmental analysis and management, banking, insurance, logistics, law enforcement services, defense, media, real estate, retail and more.

Spatial Analysis Techniques in R

taught by Dave Unwin

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Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise. Multiple course registrations may be entitled to tuition discounts; read more.

Spatial Analysis Techniques in R

taught by Dave Unwin

This course will teach users how to implement spatial statistical analysis procedures using R software. Topics covered include point pattern analysis, identifying clusters, measures of spatial association, geographically weighted regression and surface procession.

This course is a core requirement or elective in the following Program(s) in Analytics and Statistical Studies (PASS):

• Data Mining

• Engineering Statistics

• Environmental Science

• Using R

• Introductory Statistics (Intro Stats (beginner), Intro Stats 1, Intro Stats 2)
• Matrix Algebra
• Spatial Statistics - GIS
• R Intro (data)

SESSION 1: Using R with Spatial Data

SESSION 2: Practical Point Pattern Analysis: Dealing with Inhomogeneity and Locating Clusters

SESSION 3: Looking Closer at Areas: The Importance of Local Measures of Spatial Association and Geographically Weighted Regression

SESSION 4: Surface Procession

HOMEWORK:

Homework in this course consists of guided data analysis problems using software.

This course takes place over the internet at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.

The required text for this course is Geographic Information Analysis, 2nd ed by David O'Sullivan and David J. Unwin, and it can be ordered from Wiley by clicking here. Wiley typically offers statistics.com customers up to 15% discount on this book (and all other statistics titles): enter the code aff15 in the Promotion Code field when prompted during checkout and click the Apply Discount button. (If you are located in Asia, the web procedure for your location may not accept this discount – try calling your regional Wiley representative.).

PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.

In addition, students might also like to purchase Bivand, R.S., Pebesma, E. and V. Gomez Rubio (2008) Applied Spatial Data Analysis with R (Springer, NY, in the UseR! Series). This contains all you need to know, but at relatively advanced level. It can be ordered from the publisher here. Springer offers a generous discount on this book after providing the code AECT15 (this code is case sensitive) in the Promotion Code field when prompted during checkout time if you are from North or South America. The same code will work for the rest of the world if you order from the North American site, but may result in longer ship time and higher ship cost (alternatively, you can buy from local site with no discount.)

You must have a copy of R for the course. Click Here for information on obtaining a free copy.

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