Fall 2020 - GEOG 255 D100

Geographical Information Science I (3)

Class Number: 4088

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 9 – Dec 8, 2020: Mon, 10:30 a.m.–12:20 p.m.
    Burnaby

  • Exam Times + Location:

    Dec 16, 2020
    Wed, 7:00–10:00 p.m.
    Burnaby

  • Instructor:

    Nicholas Hedley
    hedley@sfu.ca
    1 778 782-4515
    Office: RCB 7229
  • Prerequisites:

    GEOG 100 or 111 or permission of instructor.

Description

CALENDAR DESCRIPTION:

A basic overview of Geographical Information Systems and Science; GIS software, hardware, data structures and models; spatial data, operations and algorithms; practical applications and limitations. Students with credit for GEOG 354 may not take this course for further credit. Quantitative.

COURSE DETAILS:

GEOG 255 REMOTE SPECIAL EDITION FOR FALL 2020 😊 !

SEE ADDITIONAL DESCRIPTIONS OF REMOTE COURSE LOGISTICS

 

COURSE DETAILS                                                                                                                                         

Geographic Information Systems (GIS) and Geographic Information Science (GIScience) cover a wide range of topics surrounding the measurement, characterization, data representation, visualization and analysis of spatial phenomena.

GIS software and hardware are pivotal tools used by scientists, natural resource managers, urban planners, government agencies, environmental monitoring groups, crime analysts, forestry and agriculture, and many fields where spatial data are key. Given the proliferation of spatial data and technology throughout business, research and society, it is not surprising that demand for people skilled with GIS has increased. More jobs are created in GIS than any other field of Geography, and the market continues to grow.

The power of GIS hardware and software is maximized by people who understand geographical information science. This includes: how to conceptualize spatial phenomena; how to observe and record phenomena with multiple data capture methods; understanding how to integrate different forms of spatial data; the analyses you can perform; the analytical visualizations you can produce; the spatial narratives you can communicate; and the value you can deliver to research, business and society. In short, the there is an increasing need for GIS users who are more than just capable at using software and hardware – but who have high quality GIScience ‘brainware’.

This course is designed for, and welcomes students with a wide variety of interests, and provides a solid foundation for excellence in GIScience and GIS. We will cover key concepts and considerations that underpin the use of GIS and spatial data use, spatial analysis and map production, with a set of practical GIS training labs, applied to different topics.

COURSE COMPONENTS (see next page for more detail)                                                                                   

Weekly remote video Episodes

Weekly Unpack the Episode live video discussion/Q&A

Weekly Lab video exercise introduction and instructions

Weekly Remote Lab Q&A with TA

Remote online midterm and final exams

Final project

Course logistics for meaningful remote student experiences

IMPORTANT INFORMATION TO HELP YOU UNDERSTAND HOW GEOG 255 WILL WORK REMOTELY:

During Fall 2020, Federal and Provincial guidelines require us to adapt conventional formats to a remote delivery format. While this remoteness is critical to keeping everyone safe and healthy, I am determined that this course can and will be meaningful, engaging, and worthwhile for all students and their education/training. In the following sections, the scope of the course components, and how they will work remotely, are described…

 

REMOTE LECTURES, LABS AND EXAMS                                                                                                      

Lectures as weekly Episodes

In order to maximize the ability of all students to connect with and experience lecture material as a narrative from me, rather than online PDF notes, my lecture materials will be made available as weekly video ‘episodes’. These episodes will allow students to benefit from a narrative of GIScience ideas, concepts, methods and perspective. In each episode, GIScience concepts, methods will be introduced, explained, demonstrated, discussed and sometimes critiqued. You will also be introduced to GIS project management skills. The material/topics/issues or examples covered in weekly episodes will form the core of midterm and final exams.

Producing them as online videos, means that they will be accessible/downloadable from our online class platform (Canvas), allowing asynchronous viewing/ playback/pausing/viewing/review control for everyone, to suit each student’s personal schedule.

Weekly live discussion in Unpack the Episode

It is also essential, however, that you (my students!) can benefit from live discussion and clarification of lecture topics and questions. Therefore, I will also host weekly ‘Unpack the Episode’ live video discussion. These meetings will be held during GEOG 255’s scheduled ‘lecture time’. These meetings will use Canvas BB collaborate Ultra, and/or Zoom.

Remote Labs

Once a week you will have assigned lab training activities, where you will work through a sequence of exercises that introduce you to GIS software use. There is a strong resonance between lab topics and the GIScience narrative in lecture, but understand that labs are not intended to match the lectures exactly. Think of them as a foundation in GIS software training, running parallel to lectures, and informed by the ideas, concepts and perspectives discussed in lecture.

In each lab you will: i) work through selected applied methods identified in lecture and lab; ii) apply principles you have learned to data sets; and iii) answer a brief set of questions related to the GIS operations you have just completed. We will also introduce you to GPS use for field data collection in GIS work, and the use of numerous digital data formats. There will be a lab introduction in Week 1. Tutorials begin Week 2.

UNDERSTANDING THE FORMAT OF REMOTE LABS IN FALL 2020

Each topic/training module in lab will be kicked off with a video introduction/presentation by your TA. (This video will also serve as an instructional reference and be made accessible on Canvas). Accompanying the video, will be a set of digital notes providing instructions to follow for each training module. Some guidelines will be very step-by-step, while others will intentionally challenge you to figure out solutions to problems. All meaningful training and experience!

Each week, your TA will hold remote video Q&A in support of lab work, lab section-by-section. Note that this will be conducted in the most efficient way possible – preferably as specific topics/questions presented to groups of students requesting support.

We reserve the right to modify the format of these instructional materials/resources if, through the process of remote lab delivery, we perceive there to be more effective ways to maximize student experiences, and TA time efficiency.

 

UNDERSTANDING THE LOGISTICS OF REMOTE COMPUTING IN LABS IN FALL 2020:

Normally, these labs are conducted as in-person sessions in physical computing labs, with software installed on PCs. In this new remote context, computing will have to be done remotely. There are 2 options to achieve this:

Option 1: student uses off-campus computer to access SFU computing labs (and installed GIS software), via internet.

Option 2: students download and install a local copy of software on their personal machine. (For PC users, this will use ArcGIS or QGIS; for Mac users, this will use QGIS)

We will tune the lab/training to students’ computing/access context, using a combination of two of the most common GIS software packages used in industry and research: 1) ESRI’s ArcGIS; and 2) QGIS – a popular open-source GIS platform.

 

Remote Exams
There will be two exams: a midterm exam; and a final exam.

UNDERSTANDING THE LOGISTICS OF REMOTE EXAMS IN FALL 2020

These exams will both be administered remotely, as online exams, delivered through Canvas. The schedule of the exams will be synchronous (i.e. all students will take the exam during the respective scheduled class timeslot).

The midterm (students allowed 1h45m up to complete) will take place (online) during scheduled lecture time in WK 5 or 6. The final exam (students allowed up to 2h45m to complete) will take place (online) during scheduled final exam period.

 

FINAL PROJECT                                                                                                                                            

A key component of this course will be the production of a small portfolio-quality applied GIS project. The final project enables you to integrate and demonstrate the GIS skills/methods (and GIScience thinking) you have learned, focused through one of a collection of applied thematic topics (designed/tuned to the interests of students in the course). Proactive planning and time management are important to produce a great project. Deliverables will be submitted digitally.

EXPECTATIONS                                                                                                                                             

Technological expectations:
Given the need for remote computing in the ongoing COVID-19 situation, students should thoroughly evaluate the computing resources (computer; internet access and bandwidth) that they will have access to for Fall 2020. See details above. We will poll students in Week 1 to make sure everyone has a feasible arrangement with which to successfully access/perform lab work.

Student conduct and integrity:
We expect all students to hold themselves to the highest standards of scholarly practice and integrity. Your exams and GIS work should be completed by YOU and nobody else. We reserve the right to use plagiarism detection software. Here’s why you should not attempt to cheat in this remote course. Even if you get away with cheating on exams or deliverables now, it WILL come back to bite you in the future, when, despite getting a good grade in this or other remote courses, you don’t ‘know your stuff’ when it is put to the test in future courses, job interviews, or jobs. Do yourself a favor -thrive in this course through your own effort, a positive attitude, and with maximum integrity.

Recommended familiarity
For maximum benefit, students should be familiar and comfortable with the Windows desktop environment especially using files and folders in Windows and navigating to folders and files from within specific applications; Microsoft Excel or other spreadsheet software experience would be an asset.

COURSE-LEVEL EDUCATIONAL GOALS:

This course will introduce you to what GIS and GIScience are. We will discuss key methods, key concepts and critical considerations/implications underpinning their use. Students will be introduced to using GIS software through practical training exercises. By the end of the course you will have developed a solid understanding of GIS and GIScience concepts, have working knowledge/experience of GIS software, and be able to design and perform a range of geographic analyses, and map production. You will have completed a set of technical labs, 2 exams and an independent GIS project.

Grading

  • Lab deliverables/assignments 30%
  • Remote Exam 1 (midterm) - synchronous 20%
  • Remote Exam 2 (final) - synchronous 30%
  • Final Project 20%

NOTES:

GRADING SCALE

A+

97 or higher

A

91-96

A-

85-90

B+

80-84

B

75-79

B-

70-74

C+

65-69

C

60-64

C-

55-59

D

50-54

F

0-49

 




 

Materials

REQUIRED READING:

RECOMMENDED RESOURCES:

Recommended GIScience reference for GEOG255 and beyond: Geographic Information Systems and Science (4th edition, 2015). Paul A. Longley, Mike Goodchild, David J. Maguire, David W. Rhind. 496pp. Wiley. ISBN 978-1118676950

Free ArcGIS online documentation and support: https://desktop.arcgis.com/en/documentation/

Free QGIS online documentation and support:
https://docs.qgis.org/3.10/en/docs/user_manual/
https://docs.qgis.org/3.10/en/docs/training_manual/

Optional ArcGIS reference: Getting to Know ArcGIS Desktop Paperback (5th edition, 2018) Michael Law & Amy Collins. ESRI Press. ISBN: 978-1589485105.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

TEACHING AT SFU IN FALL 2020

Teaching at SFU in fall 2020 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.

Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112).