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Viewing: ST 433 / ST 533 : Applied Spatial Statistics

Last approved: Wed, 07 Mar 2018 16:07:03 GMT

Last edit: Wed, 07 Mar 2018 16:06:59 GMT

Catalog Pages referencing this course
Change Type
Major
ST (Statistics)
433
032429
Dual-Level Course
Yes
533
Cross-listed Course
No
Applied Spatial Statistics
Applied Spatial Statistics
College of Sciences
Statistics (17ST)
Term Offering
Spring Only
Offered Every Year
Spring 2017
Previously taught as Special Topics?
Yes
1
 
Course Prefix/NumberSemester/Term OfferedEnrollment
ST 495/590Spring 20162-495, 17-590
Course Delivery
Face-to-Face (On Campus)
Distance Education (DELTA)
Online (Internet)

Grading Method
Graded with S/U option
3
16
Contact Hours
(Per Week)
Component TypeContact Hours
Lecture3
Course Attribute(s)


If your course includes any of the following competencies, check all that apply.
University Competencies

Course Is Repeatable for Credit
No
 
 
Joseph Guinness
Assistant Professor
assoc

Open when course_delivery = campus OR course_delivery = blended OR course_delivery = flip
Enrollment ComponentPer SemesterPer SectionMultiple Sections?Comments
Lecture1010NoWe expect up to 25 in the parallel graduate version.
Open when course_delivery = distance OR course_delivery = online OR course_delivery = remote
Delivery FormatPer SemesterPer SectionMultiple Sections?Comments
LEC1515NoOnly graduate ST 533 will be offered online
P: ST 422 and ST 430
P: ST 512 or ST 514 or ST 515 or ST 517
Is the course required or an elective for a Curriculum?
No
Introduction to statistical models and methods for analyzing various types of spatially referenced data. The focus is on applications with real data and their analysis with statistical programs such as R and SAS. Students are required to write, modify, and run computer code in order to complete homework assignments and final projects.

Statistics has been teaching two graduate-level spatial statistics courses: ST 733 and, under an ST 790 Special Topics course, a more advanced/theory oriented course. This course action is part of a pair of actions that realigns these offerings. The material currently covered in ST 733 forms the basis of ST 533. The practical emphasis of ST 533 opens up the opportunity to offer the material at the 400/500 dual-level. 


The proposed new course (ST 433) will be the undergraduate version of a dual-level course in Applied Spatial Statistics. This course will offer our most advanced undergraduate students the opportunity to gain specialized knowledge in methods for analyzing spatial data, for which there is an increasing demand in statistical careers in industry and government. Our undergraduate students will also gain exposure to an active area of academic statistical research, which is valuable to those students deciding whether to pursue graduate studies in statistics.


No

Is this a GEP Course?
No
GEP Categories

Humanities Open when gep_category = HUM
Each course in the Humanities category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Mathematical Sciences Open when gep_category = MATH
Each course in the Mathematial Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

Natural Sciences Open when gep_category = NATSCI
Each course in the Natural Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

Social Sciences Open when gep_category = SOCSCI
Each course in the Social Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Interdisciplinary Perspectives Open when gep_category = INTERDISC
Each course in the Interdisciplinary Perspectives category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

 
 

 
 

Visual & Performing Arts Open when gep_category = VPA
Each course in the Visual and Performing Arts category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Health and Exercise Studies Open when gep_category = HES
Each course in the Health and Exercise Studies category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
&
 

 
 

 
 

 
 

Global Knowledge Open when gep_category = GLOBAL
Each course in the Global Knowledge category of the General Education Program will provide instruction and guidance that help students to achieve objective #1 plus at least one of objectives 2, 3, and 4:
 
 

 
 

 
Please complete at least 1 of the following student objectives.
 

 
 

 
 

 
 

 
 

 
 

US Diversity Open when gep_category = USDIV
Each course in the US Diversity category of the General Education Program will provide instruction and guidance that help students to achieve at least 2 of the following objectives:
Please complete at least 2 of the following student objectives.
 
 

 
 

 
 

 
 

 
 

 
 

 
 

 
 

Requisites and Scheduling
 
a. If seats are restricted, describe the restrictions being applied.
 

 
b. Is this restriction listed in the course catalog description for the course?
 

 
List all course pre-requisites, co-requisites, and restrictive statements (ex: Jr standing; Chemistry majors only). If none, state none.
 

 
List any discipline specific background or skills that a student is expected to have prior to taking this course. If none, state none. (ex: ability to analyze historical text; prepare a lesson plan)
 

Additional Information
Complete the following 3 questions or attach a syllabus that includes this information. If a 400-level or dual level course, a syllabus is required.
 
Title and author of any required text or publications.
 

 
Major topics to be covered and required readings including laboratory and studio topics.
 

 
List any required field trips, out of class activities, and/or guest speakers.
 

ST 533 is an amended (and renumbered) version of the existing ST 733 course, so no new faculty resources will be required. A new ST 733 for PhD students has been submitted to CIM--it was previously taught as a special topics ST 790.

Students will gain a basic competency to analyze spatial data. They will be able to use SAS or R to conduct the analyses most likely to be found in typical applications. Students will learn how to write and document SAS or R code effectively, and how to write clear and concise statistical reports based on the output.


Student Learning Outcomes

By the end of the course, the students will be able to:


Produce informative visual displays of spatial data

Perform exploratory data analyses

Select appropriate statistical models for various types of spatial data

Estimate model parameters with modern statistical software (e.g., R, Matlab, or SAS)

Conduct spatial interpolation and spatial mapping (Kriging)

Interpret software output

Effectively communicate the analysis in a written document


ST 533 Only: Demonstrate the ability to work with more theoretical aspects of selected topics via derivations, proofs, or other more advanced statistical techniques.


Evaluation MethodWeighting/Points for EachDetails
Homework40%ST 433
Midterm30%ST 433
Project30%ST 433 The final project will consist of a detailed analysis of a spatial or spatial-temporal data set. The bulk of the project is a written report to be submitted in the last week of class. Students are also required to submit a written proposal in the middle of the semester describing the data and the research questions to be addressed with the data.
Homework30%ST 533 will have additional questions that address the additional learning outcomes for graduate students.
Midterm25%ST 533 will have additional questions that address the additional learning outcomes for graduate students.
Project45%ST 533 The final project will consist of a detailed analysis of a spatial or spatial-temporal data set. The bulk of the project is a written report to be submitted in the last week of class. Students are also required to submit a written proposal in the middle of the semester describing the data and the research questions to be addressed with the data.
TopicTime Devoted to Each TopicActivity
Modeling and analysis of geostatistical data (real-valued observations associated with point locations)5 weeksIntroduction to the course, presenting spatial data, Exploratory Data Analysis, Plotting Spatial Data, Essentials of Statistical Inference, Multivariate Normal Distribution, Likelihood Function,Conditional Expectation and Variance, mean function, Constant mean, Linear mean, Generalized Least Squares, Families of Covariance Functions, Exponential, Matern, Geometric Anisotropy, Simultaneous Inference for Mean and Covariance, Iterative Approaches, Residual Maximum Likelihood, Variograms and Empirical Variograms, Relationship between variogram and covariance function, Directional Empirical Variograms, Kriging with Variograms, Multivate Models and cokriging
Modeling and analysis of areal data (real-valued observations associated with regions) 2 weeksAreal Data, plotting areal data, Gaussian Models for areal data, Covariances based on regional averages,
Covariances based on centers, CAR and SAR models,
Hierarchical models for areal data
Modeling and analysis of point pattern data (location-valued observations)2 weeksPoint Pattern data, Examples, Models, the homogeneous poisson process, the inhomogeneous poisson process, Tests for Homogeneity, Quadrat Methods, Distance Methods, edge effects, Maximum likelihood estimation for point pattern models, Likelihood ratio testing
Advanced topics 6 weeksMarked Point Patterns, Spatial-Temporal Data, Models, and Methods, Bayesian Methods, Large Datasets,
Approximate likelihoods, Composite Likelihoods, Interactive Graphics.
Final Projects1 weekfinal project
1. 433 and 533 will differ in the following way. 533 will have an additional learning outcome: Demonstrate the ability to work with more theoretical aspects of selected topics via derivations, proofs, or other more advanced statistical techniques. 533 students will have additional HW and Exam questions to evaluate this learning outcome. The 533 project will carry more weight than that for the undergrads in 433, and it will be expected to have more depth and complexity.

2. Statistics has been teaching two spatial statistics courses: ST 733 and, under an ST 790 Special Topics course, a more advanced/theory oriented course. The material currently covered in ST 733 forms the basis of ST 533. The material from the advanced course will become 733, with 733 becoming offered to ST PhD only and offered less frequently. The new 733 has been submitted to CIM.

Note that 433/533 is a much more applied class than the PhD level course ST 733. Thus ST 433/533 will have more examples and software applications than ST 733 and less theory.

mlnosbis 1/5/2017: Note that the grading basis in CIM says Graded with S/U option. Since this is a dual-level course, that is the correct grading method in CIM. Undergraduates have to be able to take as S/U, but graduate students will not be able to take this for S/U and it will be available for graduate student audit. 1) Has this been offered to undergraduates/masters students as special topics yet to capture interest? Where are those enrollment numbers? 2) Instructional resources statement indicates that this is a restructuring of 733. Will 733 continue to exist, or is this replacing 733? Clearly indicate the distinction between the two courses.

pjharrie 1/19/2017 - there are issues with the requirements for the project between the ugrad and grad levels. They are described in an identical fashion in the syllabus, so there is no clear distinction - other than the change in percentage. This needs to be much more clearly and specifically articulated as to how they will 'demonstrate the ability to work with more theoretical aspects of selected topics via derivations, proofs, or other more advanced statistical techniques.' Ready for ABGS review.

ABGS Reviewer Comments:
-Is it sufficient to state that the specific project differences between 433 and 533 will be discussed in class? Should this be spelled out more definitively in the syllabus?

pjharrie 1/31/2017 - I see the ABGS Reviewer picked up on the same I did - this needs to be addressed more effectively in the syllabus
muse (Tue, 04 Aug 2015 16:48:59 GMT): This should be marked as a Dual-Level Course
gmneugeb (Tue, 29 Sep 2015 19:19:31 GMT): Rollback: .
lamarcus (Wed, 09 Dec 2015 13:27:20 GMT): Rollback: Instructor request
lamarcus (Fri, 05 Feb 2016 21:42:22 GMT): Rollback: Rolled back at instructor request
allloyd (Mon, 07 Nov 2016 02:39:28 GMT): Passed college committee 11/4/2016
aeherget (Fri, 02 Dec 2016 19:41:38 GMT): AECHH: Uploading updated syllabus at instructor's request via email, 12/1/2016
Key: 7242