Spring
2018 UMass Department of Geosciences
GEOSCI
468/668: GIS and Spatial Analysis 3 cr
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 1112 Th 11:1512:15pm or by appointment
TA Jiwei
Li, Morrill IV 264, jiwei@geo.umass.edu,
Office
hour: Tue Wed 1011am
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: 9780971764736,
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
CDROM, 7th edition, Maribeth H. Price, McGrawHill Higher Education.
Arrangement
The courses
are composed of topics. Each topic will be introduced by lecture, inclass
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
midterm 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 selfowned 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% 
Midterm 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 

Midproject 


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 
