Spring 2024  UMass Department of Geosciences

GEO-SCI 468/668: GIS and Spatial Analysis  3 cr

Class schedule

Schedule TuTh 10-11:15 In person Classroom Lectures in 129 Morrill III and Labs in 212 Morrill III

Instructor   Prof. Qian Yu, qyu@umass.edu,  Office hour Tues 1-2 Th 11:30-12:30 or by appointment

TA Hutch Tyree, qtyree@umass.edu, Office hour Mon 2:30-3:30 Wed 12:30-1:30 or by appointment

Objectives          

This is an upper-level GIS course for students to obtain intermediate to advanced GIS skills to solve science and application problems. Extended from Introductory GIS, the course focuses on vector- and raster- based GIS techniques and spatial analysis. In addition, we will introduce spatial statistics and geostatistical principles and tools. Upon the completion of this course, students are expected to be able to:

                      Conduct geospatial analysis (vector and raster)

                      Design and create models

                      Understand and use common spatial statistics tools

                      Interpret and evaluate the outcomes of GIS analysis in wider research contexts

                      Improve writing and presenting skills for describing technical specifications

Prerequisite       

                      Introductory GIS (NRC585 or GEOG585),

                      Familiar with computer, MS Word.

                      High school Algebra II and Geometry, including Trigonometry.

Required textbooks

1.       GIS Fundamentals: A First Text on Geographic Information Systems, 7th edition, Paul Bolstad, Eider Press, White Bear Lake, MN. https://www.gisfundamentals.org/ ($44 Print, $24/$18 digital lifetime/rental)

2.       The lab book includes the selected chapters from Mastering ArcGIS Pro (2nd edition). Order either print copy or digital copy from McGraw Hill Create following the URL posted in Canvas. We will need the book in the 2nd week, so please order ASAP.

Suggested order information is posted on CanvasSyllabus

Reference textbook

The list includes the reference books I used to prepare the course. You are not required to read them.

3.       Mastering ArcGIS Pro, 2nd edition, Maribeth Price, McGraw Hill Higher Education.

4.       Concepts and Techniques of Geographic Information Systems, 2/E, Chor Pang Lo, Albert K.W. Yeung (2007)

5.       Introduction to Geographic Information Systems, K. Chang, McGraw Hill

6.       Interactive Spatial Data Analysis, T.C. Bailey and A.C. Gatrell, Prentice Hall, 1995.

7.       David O'Sullivan, David J. Unwin, Geographic Information Analysis, Wiley, Inc, Hoboken, New Jersey, ISBN: 978-0-470-28857-3, 2nd ed, Hardcover, 432 pages, March 2010.

Course Structure and Expectations

      Course Structure The courses are composed of topics. Each topic will be introduced by lecture, in-class exercise, and lab assignments. Students will be asked to bring their own laptop or tablet to class to work on pop quizzes.

      Lab We will use ArcGIS Pro for labs. Besides class time, students are also expected to use extra time to complete weekly assignments and submit on time.

      Final Project All students are required to complete a final project in small groups. You are encouraged to define the objective of your project, collect all necessary data, and perform spatial analysis. A final report is due on the last day of final exam.

      Estimate of student workload and time commitment The weekly lectures and in-class exercise will require 2.5 hours. The weekly readings will require at least 1.5 hours. The weekly effort on the homework/lab assignments is at least 2 hours. The weekly workload for the final project will vary throughout the semester from 0 hours at the beginning of the semester to 4 hours per week near the end.

How to run ArcGIS Pro using your own computer

       A MS Windows computer is required to install ArcGIS Pro with internet connection. A handout about license requesting and installing ArcGIS Pro is posted on Canvas. If you need help on installing ArcGIS software to your computer, please directly contact IT. https://www.umass.edu/it/support

      Alternative to the above, you can connect through UMass Azure Virtual Desktop and use ArcGIS pro installed on the server. It is not as stable as local installation. For students who need to request remote desktop access (i.e., Azure Virtual Desktop), please read here and submit a request.

https://www.umass.edu/it/support/computer-classrooms/access-software-windows-virtual-desktop

Online and Asyncronous option

In person attendance is strongly encouraged for this class. The class is designed with group work and interactions. Remote 668 students who plan to take the course online should contact the instructor in the first week of the semester and arrange a zoom meeting. 468 students must take the course in person. The lectures and lecture recording will be accessible via zoom with links provided on Canvas. All students are welcome to use the recordings. TA will monitor the zoom Chat during lectures. During the lab time, the instructor and TA will help in person students and might not be able to provide timely help to remote students. Remote students are encouraged to get help during the office hours.

Grading scheme

 

468

668*

 

468

668*

Labs

45%

45%

Quiz

10%

10%

Mid-term project

10%

/

Final project

30%

30%

Journal paper presentation

/

10%

Class participation

5%

5%

 

 

 

 

 

 

* In some labs, extra parts will be assigned to 668 students. 668 students are expected to give a journal paper presentation and finish a more complete final project.

Policies               

1.    Attendance Policy For most students taking the class in person, attendance to both lecture and lab session is required in the normal circumstances and forms a portion of your grade. Students who are absent due to excusable extenuating circumstances remain responsible for watching the class recordings, obtaining any materials (i.e. notes) from other students, meeting all class requirements, and making up missed work in a timely fashion. Failure to meet course requirements will require documentation for alternate arrangements to be made.

2.    All the assignments are required to be submitted to Canvas. Most assignments are integrated in Canvas and auto-graded answer keys will be released after late due deadline. If document upload is needed, acceptable document format is either WORD or PDF, not Google Doc link. Canvas allows the instructor and TA to grant extension to individuals for special circumstances. Please email the instructor and TA for excusable extension. Any submission made by email attachment or link to your shared document will not be considered for grading and meeting deadline. If you use Google Doc for editing, you must download a copy in .docx or .pdf and upload it to Canvas.

3.    Assignment late submission policy Both due date and late due date are noted in each assignment. The late due date is normally 7 days after the due date. All exercises must be turned in by the hours the exercises are due. Each student has one chance of late submission with no point deduction during the semester. Other late submissions before late due date without advance permission by the instructor will cause a grade deduction. No lab assignment will be accepted after one week following the due date unless special arrangement is made with the instructor before the deadline.

Late submission

24-72 hours (1-3 days)

72-168 hours (4-7 days)

>7 days

Point deduction

1/4

1/2

Not accepted

4.    Missing mid-term project, final project presentation, final project report, or >=3 assignments will result in an F for the course, no matter what your final grade is.

Academic Honesty Statement: Since the integrity of the academic enterprise of any institution of higher education requires honesty in scholarship and research, academic honesty is required of all students at the University of Massachusetts Amherst. Academic dishonesty is prohibited in all programs of the University. Academic dishonesty includes but is not limited to: cheating, fabrication, plagiarism, and facilitating dishonesty. Appropriate sanctions may be imposed on any student who has committed an act of academic dishonesty. Instructors should take reasonable steps to address academic misconduct. Any person who has reason to believe that a student has committed academic dishonesty should bring such information to the attention of the appropriate course instructor as soon as possible. Instances of academic dishonesty not related to a specific course should be brought to the attention of the appropriate department Head or Chair. Since students are expected to be familiar with this policy and the commonly accepted standards of academic integrity, ignorance of such standards is not normally sufficient evidence of lack of intent.

(http://www.umass.edu/dean_students/codeofconduct/acadhonesty/).

Disability Accommodation Statement: The University of Massachusetts Amherst is committed to providing an equal educational opportunity for all students. If you have a documented physical, psychological, or learning disability on file with Disability Services (DS), you may be eligible for reasonable academic accommodations to help you succeed in this course. For disability accommodation, please register with Disability Services as early as possible. Meanwhile please notify me within the first two weeks of the semester so that we may make appropriate arrangements. DS accommodation request must be filed each semester. Do not expect the request will be automatically carried over.

Class schedule and reading are posted on http://www.geo.umass.edu/courses/geo468/. This link is also provided in Canvas. Schedule will be updated with classes progressing. Lecture notes and assignments in PDF are posted on Canvas. Check your UMass email daily for class notices and announcements.

 

General

Vector

Raster

Spatial statistics

 


Week

Class

Arrangement

Topic

Assignment/Reading

Location

 

1. Jan 29

Th

Lec 0

Syllabus and Introduction

 

Morrill 129

 

2. Feb 5

Tu

Lec 1.1

Coordinate system and Projection revisit (Datum, Projection)

Bolstad ch3 p89-111

Optional ch112-115

Morrill 129

 

Th

Lec 1.2

 

Lab 1

Coordinate system and Projection revisit (UTM, State Plane, GIS operation)

Projection (Define, convert projection, raster georeferencing)

Bolstad ch3 p116-132

Morrill 212

 

3. Feb 12

Tu

Lab 1

Continue

Lab book Ch1 p111-127

Morrill 212

 

Th

Lec 2

Geodatabase and Vector data model revisit

Quiz 1 Projection

Bolstad ch2 scan p25-38, p61-63

read p39-50 more carefully

Morrill 129

 

4. Feb 19

Tu

Lab 2

Working with Geodatabase

I. Geodatabase schemas

II. Editing with Topology

III.Working with Geodatabase (Domain and Subtype)

 

 

Morrill 212

 

Th

 

Monday schedule

 

 

 

5. Feb 26

Tu

Lec 3 with in-class exercise

Vector Spatial Analysis revisit (Spatial Query, Spatial Join, Overlay, Dissolve)

 

Bolstad ch9 (You can skip this reading if you are familiar with this content from Intro GIS)

Morrill 212

 

Th

Lab 3

Map Overlay and Geoprocessing

Price p309-322

Morrill 212

 

6. Mar 4

Tu

Lec and Lab 4

Census data and Geocoding

Bolstad p318-321, p416-417

Morrill 212

 

Th

Lec 5.1

Raster Data Model

Quiz 2 Vector data model and basic analysis

Bolstad ch 2 p51-60, 70-72,

Bolstad ch10 p435-460

Morrill 129

 

7. Mar 11

Tu

Lec 5.2

Raster Spatial Analysis (local, focal, zonal, block)

Morrill 129

 

Th

Lab 5.1

Raster Spatial Analysis (local functions)

 

Morrill 212

 

8. Mar 18

TuTh

 

Spring break

 

 

 

9. Mar 25

Tu

Lec 5.3

Lec 6.1

Raster Spatial Analysis (focal, zonal, block)

Terrain Analysis: TIN, topography surface

Bolstad ch2 p61-66, ch11 p473-481, p494-497

Bolstad ch12, p509-523

Morrill 129

 

Th

Lab 5.2

Raster Spatial Analysis

Price p339-352

Morrill 212

 

10. Apr 1

Tu

Lec 6.2

Terrain Analysis: Viewsheds, hillshade, watershed analysis Quiz 3 Raster spatial analysis

 

Bolstad ch11, p482-491

 

Morrill 129

 

Th

Lab 6

Watershed delineation

Morrill 212

 

11. Apr 8

Tu

 

Mid-project

 

Morrill 212

 

Th

 

Graduate student journal paper presentation

 

Morrill 129

 

12. Apr 15

Tu

Lec 7

Other raster analysis: sampling, interpolation, density analysis, cost analysis

Bolstad ch10, p460-464

Morrill 129

 

Th

Lab 7

Cost Analysis

 

Morrill 212

 

13. Apr 22

Tu

Lec 8

Spatial Statistics

I.      Point Pattern Analysis: Measure and Test

II.    Spatial continuous data and area objects: spatial autocorrelations test

Quiz 4 Terrain Analysis

Bailey & Gatrell ch3, 5&7 

Morrill 129

 

Th

Lab 8

Spatial statistics

 

Morrill 212

 

14. Apr 29

Tu

Working on final project

Final project proposal due April 26 Monday

 

Morrill 212

 

Th

Working on final project

 

Morrill 212

 

15. May 7

Tu

Working on final project

 

Morrill 212

 

 

Th

Final Project presentation

 

Morrill 129

 

 

 

Final project report due on May 17 Friday