CHRISTINA FRIEDLE
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Geography 266. Geographic Information Systems Analysis


CRN: 12495
Winter 2016                                                                         
PCC - Sylvania Campus, SS110
M W  1:00 - 3:50 p.m.
Office Hours: T/TH 9-10 am, W 11-12 pm, or by Appt.

Office:  SS 201                                                   
971-722-4072
[email protected]

Picture
GIS Tutor in SS110
Whit Bouton 
[email protected] 
Mondays 9-1 pm
Wednesdays 4-6 pm


Course Description and Focus

This courses is the continuation of Geo 265 (Intro to GIS) and will build upon the basic concepts, tools, and applications of GIS.  This class will focus on the more advanced topics including vector & raster spatial analysis, creating and editing data, spatial models, spatial statistics, and network models. 

The course is taught in a computer lab and is largely lecture and lab-based.  The lectures introduce or review GIS concepts, while the labs are designed to assist in learning techniques for conducting spatial analysis.  Students are required to complete a final project as a way to apply what is learned throughout the course.  The final project is structured to cater to your individual interests. 

There will be times when we discuss topics and techniques in small or large groups.  Students are expected to come to class prepared to think, observer, and be active participants.  

Course Materials

1| GIS Fundamentals: A First Text on Geographic Information Systems, 4th Ed, Paul Bolstad
2| Designing Better Maps: A Guide for GIS Users, Cynthia Brewer
3| ESRI Help for ArcGIS 10.3 Desktop   
4| ESRI Online GIS Dictionary
5| USB Flashdrive (Recommended 4GB minimum)

GIS Software

This course uses ESRI's ArcGIS software program.  The software is available in the class lab, as well as the Library at Sylvania, and the Student Computer Centers (SCC) at Rock Creek and Cascade campuses.  Additionally, an educational license of the software will be given to all students enrolled in the course for use outside of class on your personal computers.   

Assignments and Grading

Labs | 45% | labs completed both in-class and at home
Midterm | 20% |  short answers, essay questions, and computer-based applications completed in-class and at home
Final Project | 25% | complete an independent GIS analysis - details of the project are provided during class
Participation | 10% | attendance, class activities, discussions, and general enthusiasm for the course content 
Final grades will be based on the following scale: A (90-100), B (80-89), C (70-79), D (60-69), and F (below 60). 

Backing Up Your Work

Please note that there is no place on the lab computers, or the PCC network, to save your work.  All of the lab computer hard drives get wiped clean every single night!  Bring a flash drive to class and use it to back up all of your data and files for all labs, exams, and project at the end of every class.  

Course Outline  **Course schedule is subject to change and will be updated throughout the quarter.**

Topics



January 4 / 6 

Introduction to Course
Lecture: GIS - A Review


January 11 / 13

Lecture. GIS Data Management 

Lecture. Creating & Editing Data
Article.  Understanding Topology & Shapefiles, by David Theobald


January 20

Lecture. (Geo)databases

NO CLASS JANUARY 18 (MLK Day)
​


January 25 / 27

Lecture. Spatial Models

Lecture.  Geoprocessing & Environments


February 1 / 3

Midterm Exam
​Data

​
​Lecture. Vector Analysis: Queries, Measurements & Transformations


February 8 / 10


Lecture. Overlays & Areal Interpolation


February 15 / 17

Lecture. Raster Analysis
​
Lecture. Final Projects Guidelines ​


February 22 / 24

Raster Analysis con't
​
Lecture. Advanced Raster Analysis

​


February 29 / March 2

Lecture. Spatial Stats & Interpolation

Lecture. Optimization


March 7 / 9

Work on Final Projects 


March 14

Final Project Presentations


Assignments



Reading as assigned

Lab 1. Mapping Census Data


Reading as assigned 

Lab 2. Creating & Editing data
Lab 2. Data

Due. Lab 1 


Reading as assigned

Lab 3. Geodatabases & ModelBuilder 
Lab 3. Data
​
Due. Lab 2


Reading as assigned


​
Due. Lab 3


Reading as assigned

Lab 4. Vector Analysis
Lab 4. Data
​
​

Reading as assigned



Due. Lab 4


Reading as assigned

Lab 5. Raster Analysis
Lab 5. Data
​


Reading as assigned

Lab 6. Advanced Spatial Analysis
Lab 6. Data

Due. Lab 5 (2/22)
Due. Final Project Outline (2/24)


Reading as assigned



​
Due. Lab 6












'How To' Submit an Assignment

1| Your last name and first initial should be the first part of the file name, followed by the lab number or assignment name.  e.g.  SkywalkerL_Lab1, MandelaN_FinalProjectProposal.

2| Do not include any of the lab instructions in your document.  Include only the question numbers and text, your answers, and any exported maps.

3| Submit a single document in PDF format.  (If creating your document in MS Word, save as a PDF file.)

4| The subject line of your email should reflect the assignment name.  For example: Lab1

Additional Resources

ArcGIS Desktop Tips & Shortcuts

ArcGIS Installation Instructions

ESRI Extension Tutorials (3D, Network & Spatial Analyst)

Attendance

Although attendance is not officially a part of your grade, it will be difficult to keep up if you are not regularly in class.  If you need to miss class or leave class early, talk to me beforehand to make arrangements.  If you have a personal problem that is inhibiting your performance in this class, please come talk to me as soon as possible so that we can discuss options to make your efforts in this class successful.  

Academic Dishonesty

Plagiarism is “the unauthorized use or close imitation of the language and thoughts of another author and the representation of them as one's own original work (Dictionary.com).”  This is unacceptable.  Cheating is also unacceptable.  If you have any questions about the college’s academic policy, see pages 9-11 of the Students Rights and Responsibilities Handbook, online at http://www.pcc/edu/about/policy/student-rights/student-rights.pdf.  

Students with Disabilities

PCC is committed to supporting all students.  If you plan to use academic accommodations for this course, please contact your instructor as soon as possible to discuss your needs.  Accommodation are not retroactive; they begin when the instructor receives the "Approved Academic Accommodations" letter from you (submitted in person for courses on campus; via email for DL courses).  To request academic accommodations for a disability, please contact a disability services counselor on any PCC campus.  Office locations, phone numbers, and additional information may be found at http://www.pcc.edu/resources/disability 

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