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Transcript of Class Info Website for materials available at: – We’ll use Moodle for turning in assignments,...
![Page 1: Class Info Website for materials available at: – We’ll use Moodle for turning in assignments, grades, emails, blog.](https://reader036.fdocuments.us/reader036/viewer/2022081603/56649e2d5503460f94b1c679/html5/thumbnails/1.jpg)
Class Info
• Website for materials available at:– www.humboldt.edu/gsp
• We’ll use Moodle for turning in assignments, grades, emails, blog
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This Class• This is a graduate level spatial modeling
class in natural resources
• This will be one of the most challenging classes you’ll probably take
• You’ll leave with a background in modeling and critical thinking that few GIS professionals ever achieve
• And, while it’s based on a class at OSU, it is being updated for HSU
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What is a model?
spectorlab.cshl.edu
An abstraction of reality-We cannot describe all the details-They are never perfect
Help us to answer questions for problems we cannot test directly
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Modeling is Huge!
• Modeling is a huge, rapidly growing, and exciting field
• My background is in habitat suitability modeling with large dataset for mostly plants
• There will be new topics we’ll work with to learn together– Welcome to research!
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How the class works
• There are three components:– Modeling in R (and some Python)– Presentations and discussions – Your project
• By the end of class you will be able to:– Build your own models in R– Articulate the theory, capabilities, and
weaknesses of modeling– Select appropriate modeling approaches– Continue to learn about modeling in your
field
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What do you need from me?
• Break into groups of 3
• Select the top 3 things you need me to do to help you be successful
• Select someone to add them to the list on the board
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Class Structure
• I’ve structured the class to prepare you for the “real” world
• Out there, there are few classes, tests, and quizzes
• Mostly there are:– Communication (email & group)– Coordination– Budgets, reports– Some data collection, evaluation, and
modeling…
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To Be Successful
• Show up for class and lab (on time)
• Do the readings
• Spend time getting to know R (play time!)
• Use your resources to get help!– Me– Other students– Books, articles– And the web
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How to read the book
• I recommend:– Read it once fairly quickly– Go back and read key parts and think about
them– Try the code examples– Ask questions about key parts that are
unclear
• Play with the concepts in R until comfortable with them – PS: this has taken me years
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Participation/Teamwork
• Goes up for:– Participating constructively in discussions– Sending the class cool info– Helping other students
• Goes down for:– Missing class or lab– Being disruptive (phones, etc.)– Being dismissive of others
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Projects
• You are responsible to present and turn in a completed project at the end of the semester
• I will not be asking for incremental deliverables (i.e. you need to manage your project schedule)
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Start Now!
• Define your project– Find the data!– Can be part of your research but must have
new content over existing deliverables
• Start your introduction– Start looking for papers– Create summaries (annotated bibliography)– Add to citation manager (EndNote)