Spring
2017 UMass Department of Geosciences
GEOSCI
468/668: GIS and Spatial Analysis 4 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: TuTh 11:1512:15pm or by appointment
TA Jiwei
Li, Morrill IV 264, jiwei@geo.umass.edu,
Office hour: Mon 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
•
Design
a GISbased model
•
Acquire,
transform and visualize spatial data using GIS software
•
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.
Missing
midterm project, final project presentation, final project report, or >=3 homeworks will result in an F for the course.
4.
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 
15% 
10% 
Journal paper presentation* 
/ 
5% 
Final project 
30% 
30% 
Class participation 
5% 
5% 
*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 23 
Tu 
Lecture
1 
Introduction
and Pretest 

Th 
Lecture 1, cont.. 
Pretest review 


2 Jan 30 
Tu 
Lecture
2 
Coordinate system and Projection revisit 


Th 
Lab
1 
Projection 


3 Feb 6 
Tu 
Lecture 3 
Vector data model revisit 


Th 

Snow day 


4 Feb 13 
Tu 
Demo 
Geodatabase schema and topology 


Th 
Lab 2 
Working with Geodatabase 


5 Feb 20 
Tu 
Lecture 4 
Vector Spatial Analysis (Buffer, Overlay, Accessiblity) 


Th 
Lab 3 
Vector Buffer and Overlay 


6 Feb 27 
Tu 
Lecture 5 
Census data and Geocoding 


Th 
Lab
4 
Census data and Geocoding 


7 Mar 6 
Tu 
Lecture
6 
Model builder 


Th 
Lab 5 
Model builder 


8
Mar 13 

Spring
break 


9
Mar 20 
Tu 
Lecture
7 
Raster Spatial Analysis (local, focal, zonal) 


Th 
Lab
6 
Raster
spatial analysis: map algebra 


10
Mar 27 
Tu 
Lab
7 
Raster spatial analysis: boolean overlay, distance function, topographic function,
neighborhood function, interpolation, zonal 


Th 
Lecture
8 
Terrain Analysis: TIN, viewsheds, hillshades, watershed analysis 


10
Apr 3 
Tu 
Watershed
analysis 


Th 
Midterm
project 


11
Apr 10 
Tu 
Lecture
9 
Point Pattern Analysis 


Th 
Lab
9 
Grad
student journal report Geographic distribution, Point
Pattern Measure and test Final
project proposal due 


12
Apr 17 
Tu 
Monday schedule 


Th 
Lecture 10 Lecture 11 
Exploring and
model spatial continuous data and Geostatistics
Spatial interpolation, Variogram and Kriging prediction Area objects and spatial autocorrelations 


14
Apr 24 
Tu 
Working
on final project 


Th 
Working
on final project 


15
May 1 
Th 
Final project presentation 



Final
report due on Th, May 11 
