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Spatial Data Narratives
*America is Maps— Maps are ghosts: white and layered with people and places I see through. * —Natalie Diaz
*You know the formula. There’s data, which becomes information, which becomes knowledge. But the step right after that is wisdom. Neither one of those first three is sufficient. * —Toni Morrison
If what Toni Morrison says is true — that we move from data to information to knowledge to wisdom — what does a critical practice of data representation look like? What does it account for? Where do maps — or in the case of this course, spatial data narratives — fall on that Morrisonian progression? What does the “controlled wilderness” of literary fiction have to say to the field of data journalism? Where does wisdom appear? What might a critical geography of computational journalistic practice look like?
Spatial Data Narratives will train GSAPP students in fundamental mapping techniques, allowing them to both create and critique their own attempts at visualizing data.
Students will learn frameworks critical to working with spatial information and be introduced to various modalities of spatial analysis – all with the goal of telling more compelling stories in the public interest.
This course will be taught using open-source tools, and will primarily rely on web platforms such as Mapbox, Github, Google and Glitch to host our experiments. We will use a mix of Python and Processing, in addition to visualization libraries and old-fashioned HTML/CSS. Those who are so inclined may also use Adobe Premiere.
Each week will feature a mix of lecture and lab, and students will begin work on their final projects as early as the third week. The final output will come in the form of a produced feature story, a short film, or another creative narrative expression, so long as it is rooted in data and has an eye toward that Morrisonian formula.
300 BUELL SOUTH
F 9 AM - 11 AM
FULL SEMESTER
14170
| Course | Semester | Title | Student Work | Instructor | Syllabus | Requirements & Sequence | Location & Time | Session & Points | Call No. |
|---|---|---|---|---|---|---|---|---|---|
| ARCH4063‑1 | Spring 2026 |
Spatial Data Narratives
|
Josh Begley |
300 Buell South
W 7 PM - 9 PM
|
Full Semester
3 Points
|
12379 | |||
| A4063‑1 | Spring 2025 |
Spatial Data Narratives
|
|
Josh Begley |
300 BUELL SOUTH
W 7-9PM
|
FULL SEMESTER
3 Points
|
11381 | ||
| A4063‑1 | Spring 2023 |
Points Unknown: Cartographic Narratives
|
|
Josh Begley |
WARE LOUNGE
F 11 AM - 1 PM
|
FULL SEMESTER
3 Points
|
14552 | ||
| A4063‑1 | Spring 2022 |
Points Unknown: Cartographic Narratives
|
|
Juan Saldarriaga, Michael Krisch |
WARE LOUNGE
F 11 AM - 1 PM
|
FULL SEMESTER
3 Points
|
14302 | ||
| A4063 | Spring 2022 |
Points Unknown: Cartographic Narratives
|
14552 | ||||||
| A4063‑1 | Spring 2021 |
Points Unknown: Cartographic Narratives
|
|
Juan Saldarriaga, Michael Krisch |
REMOTE
F 11 AM - 1 PM
|
FULL SEMESTER
3 Points
|
11292 | ||
| A4063‑1 | Spring 2020 |
Points Unknown: Cartographic Narratives
|
|
Juan Saldarriaga, Michael Krisch |
WARE LOUNGE
F 11 AM -1 PM
|
FULL SEMESTER
3 Points
|
14014 | ||
| A4063‑1 | Spring 2019 |
Points Unknown: Cartographic Narratives
|
Michael Krisch | Syllabus |
All GSAPP Interdisciplinary |
504 AVERY
F 11 AM -1 PM
|
FULL SEMESTER
3 Points
|
86396 | |
| A4063‑1 | Spring 2018 |
Points Unknown: Cartographic Narratives
|
Grga Basic, Michael Krisch | Syllabus |
All GSAPP Interdisciplinary, Joint Journalism |
Ware Lounge (600 Avery)
F 11 AM - 1 PM
|
Full Semester
3 Points
|
66596 |
