Spring 2018  UMass Department of Geosciences

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

Class schedule

Lecture:        TuTh 10:00AM - 11:15AM    Morrill IV 271 (GIS Lab)

Instructor   Qian Yu, Ph.D,  Morrill IV 267, qyu@geo.umass.edu

Office hour: Mon 11-12 Th 11:15-12:15pm or by appointment

TA Jiwei Li, Morrill IV 264, ,

Office hour: Tue Wed 10-11am

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 the spatial statistics and geostatistical principles and tools. We will have the opportunities to work with model builder, which is a useful tool for creating your own models. Upon the completion of this course, students are expected to be able to:

                      Conduct geospatial analysis (vector and raster)

                      Design and create models with model builder

                      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

- Familiar with computer, MS Word.

- High school math and geometry, including trigonometry

Reference textbook

1.        GIS Fundamentals: A First Text on Geographic Information Systems, 4th edition, Paul Bolstad, Softcover / ISBN: 978-0-9717647-3-6, Eider Press, White Bear Lake, MN. http://www.paulbolstad.net/gisbook.html

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

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

4.        Mastering ArcGIS with Video Clips CD-ROM, 7th edition, Maribeth H. Price, McGraw-Hill Higher Education.

 

Arrangement

The courses are composed of topics. Each topic will be introduced by lecture, in-class exercise and lab assignment.

ArcGIS Desktop is used in labs. Attendance to class and is mandatory. Students are also expected to use extra time to complete weekly assignments and submit on time. Assignments should be submitted through Moodle in WORD or PDF format.

All students are required to complete a Final project individually. 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 week.

Policies               

1.     Attendance to the class is required in the normal circumstances. Failure to meet course requirements due to illness will require documentation for alternate arrangements to be made. It is the responsibility of the student to obtain any materials (i.e. notes) from other students in the event the student cannot attend class for some reasons.  

2.     All exercises must be turned in by the hours the exercises are due.  Each student has one chance of late submission (no later than one week following the due date) during the semester. Other late submission up to 7 days after deadline without advance permission by the instructor will cause a grade deduction by half. No lab assignment will be accepted after one week following the due date.

3.     All the assignments are required to submit to Moodle. Moodle allows instructor to grant extension to invididuals for special circumstances. Therefore, any submission made by email attachment will not be considered for grading and meeting deadline.

4.     Missing mid-term project, final project presentation, final project report, or >=3 homeworks will result in an F for the course.

5.     Instructor is not responsible to solve or troubleshoot the problems on installing ArcGIS software to your self-owned computers. In general, students are encouraged to use lab computers during lab session to avoid any problem caused by personal computer setting.

Grading

 

468

668

Labs

50%

50%

Mid-term project

10%

/

Journal paper presentation*

/

10%

Final project

30%

30%

Class participation

10%

10%

*668 students are expected to give a journal paper presentation and finish a more complete final project.


Class schedule and reading (subject to change according to the progress)

This page http://www.geo.umass.edu/courses/geo468/ will be updated with classes progressing. Notes and assignments in PDF will be published on the Moodle. Check your UMass daily for class notices and announcement.

 

General

Vector

Raster

Spatial statistics

 

 

 

 

 


Week

Class

Arrangement

Topic

Assignment/Reading

1 Jan 22

Tu

Lecture 0

Introduction

Th

Lecture 1

Coordinate system and Projection revisit

Optional: Bolstad ch3

2 Jan 29

Tu

Lab 1

Projection (Define, convert projection, raster georeferencing)

Lab 1

Th

Lecture 2

Vector data model revisit

Optional: Bolstad ch2

3 Feb 5

Tu

 

Demo: I. Geodatabase schemas

II. Editing with Topology

 

Th

Lab 2

Working with Geodatabase (Domain and Subtype)

 

4 Feb 12

Tu

Lecture 3

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

 

Th

Lab 3

Vector Buffer and Overlay

 

5 Feb 19

Tu

 

In class practice: Model Builder

 

Th

Lecture & Lab 4

Census data and Geocoding

 

6 Feb 26

Tu

Lecture 5

Raster Spatial Analysis (local, focal, zonal)

 

Th

Lab 5

Raster Spatial Analysis I

 

7 Mar 5

Tu

Lecture 6

Interpolation Terrain Analysis

 

Th

Lecture 7

Terrain Analysis: TIN, viewsheds, hillshades

 

8 Mar 12

 

Spring break

 

9 Mar 19

Tu

 

 

Group exercise

Lecture 6 continue, Watershed analysis

 

Th

Lab 6

Raster Spatial Analysis II

Lab 7 Watershed delineation (In class practice)

 

10 Mar 26

Tu

Lecture 8

Point Pattern Analysis: Measure

 

Th

 

Point Pattern Analysis: Test

 

10 Apr 2

Tu

Lab 8

Geographic distribution, Point Pattern Measure and test

 

Th

 

Mid-project

 

11 Apr 9

Tu

Lecture 9

Area objects and spatial autocorrelations

 

Th

 

Grad student journal report

 

12 Apr 16

Tu

 

Monday schedule

Final project proposal due on Wed

 

Th

Lab 9 Area data analysis (In class practice)

 

13 Apr 23

Tu

Working on final project

 

Th

Working on final project

 

14 Apr 30

Tu

Final project presentation (May 1)

 

 

 

 

15 May 7

Final report due on Th, May 10