Here’s your roadmap for the semester!
Content (): This page contains the readings, slides, and recorded lectures for the week. Read and watch these before our in-person class.
Lesson (): This page contains additional annotated R code and other supplementary information that you can use as a reference for your assignments and project. This is only a reference page—you don’t have to necessarily do anything here, but it will be helpful as you work on your assignments.
Example (): This page the scripts that we work on in class as a reminder of some of the live-coding exercises. These are provided as a reference to help you link your notes to the syntax we use in class.
Assignment (): This page contains the instructions for each assignment. Assignments are due by 11:59 PM on the day they’re listed.
You can subscribe to this calendar URL in Outlook, Google Calendar, or Apple Calendar:
Getting started
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Title
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Content
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Lesson
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Example
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Assignment
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August 21
(Session 1)
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Introduction to the course
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August 23
(Session 2)
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Why Geographic Analysis
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August 25
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Self-Evaluation 1 due (submit by 11:59 PM)
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August 28
(Session 3)
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Introduction to Spatial Data
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August 30
(Session 4)
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Introduction to Spatial Data with R
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August 31
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Homework 1 (submit by 11:59 PM)
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September 4
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No Class
(Labor Day)
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September 6
(Session 6)
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Literate Programming, Quarto, Workflows
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September 7
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Homework 2 (submit by 11:59 PM)
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Spatial Data Operations in R
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Title
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Content
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Lesson
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Example
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Assignment
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September 11
(Session 7)
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Areal Data: Coordinates and Geometries
(remote)
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September 13
(Session 8)
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Areal Data: Vector Data
(remote)
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September 14
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Homework 3
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September 18
(Session 9)
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Areal Data: Rasters
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September 20
(Session 10)
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Mapping Geographic Data
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September 21
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Homework 4
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September 25
(Session 11)
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Operations With Vectors I
(remote)
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September 27
(Session 12)
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Operations With Vectors II
(remote)
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September 28
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Assignment Revision 1 (submit by 11:59 PM)
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October 2
(Session 13)
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Operations With Rasters I
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October 4
(Session 14)
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Operations With Rasters II
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October 5
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Homework 5 (submit by 11:59 PM)
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October 9
(Session 15)
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Combining Tabular Data and Spatial Data
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October 11
(Session 16)
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Combining Vectors and Continuous Rasters
(remote)
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October 15
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Homework 6 (submit by 11:59 PM)
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October 16
(Session 17)
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Combining Vectors and Categorical Rasters
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Statistical Workflows for Spatial Data
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Title
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Content
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Lesson
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Example
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Assignment
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October 18
(Session 18)
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Point Patterns
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October 19
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Homework 7 (submit by 11:59 PM)
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October 23
(Session 19)
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Interpolation
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October 25
(Session 20)
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Proximity and Areal Data
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October 26
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Homework 8 (submit by 11:59 PM)
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October 30
(Session 21)
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Spatial Autocorrelation
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November 1
(Session 22)
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Statistical Modelling I
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November 2
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Assignment Revision 2 (submit by 11:59 PM)
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November 6
(Session 23)
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Statistical Modelling II
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November 8
(Session 24)
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Statistical Modelling III
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November 9
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Homework 9 (submit by 11:59 PM)
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November 13
(Session 25)
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Movement and Networks I
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November 15
(Session 26)
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Movement and Networks II
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November 16
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Homework 10 (submit by 11:59 PM)
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November 20
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No Class
(Fall Break)
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November 22
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No Class
(Fall Break)
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Visualizing Spatial Data
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Title
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Content
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Lesson
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Example
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Assignment
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November 27
(Session 29)
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Data Visualization and Maps I
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November 29
(Session 30)
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Data Visualization and Maps II
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November 30
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Assignment Revision 3 (submit by 11:59 PM)
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December 4
(Session 31)
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Introduction to Interactive Maps
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Wrapup
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Title
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Content
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Lesson
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Example
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Assignment
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December 5
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Draft Final Project Due (submit by 11:59 PM)
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December 6
(Session 32)
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Conclusion
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December 7
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Final Project Draft (submit by 11:59 PM)
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December 8
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Final Project Workday
(optional)
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December 14
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Final Project Due (submit by 11:59 PM)
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December 15
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Final Self-Evaluation Due (submit by 11:59 PM)
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