-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathindex.qmd
48 lines (29 loc) · 2.11 KB
/
index.qmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
---
title: "Geographical Analysis & Visualization"
subtitle: "University of Utah"
---
[![](DELPHI-long.png)](https://uofuhealth.utah.edu/delphi-data-science-initiative)
::: {.callout-note appearance="simple" icon=false}
**Date**: September 27, 2024
**Time**: 9:00 am -- 1:00 pm MDT
**Location**: HELIX Rm 1C202 (Narrowleaf)
**Instructor**: Brenna Kelly & Simon Brewer
:::
**Registration**: Use the [following link](https://docs.google.com/forms/d/e/1FAIpQLSfMXPCIioVacaKKhpv_kqK1VFXuNuAMyeQ9w0BHZd5NKCXe4Q/viewform) to sign up for this workshop.
[**Sign up for the DELPHI mailing list**](https://www.lists.utah.edu/wws/subscribe/delphi?previous_action=info) to stay in the loop about future workshops and funding opportunities.
## General Information
**What**: This workshop will introduce key concepts in geographical analysis and visualization, with a focus on identifying and dealing with spatial structure in geographic data. We will touch on spatial regression and prediction with kriging.
**Who**: The course is aimed at graduate students, postdocs, staff, faculty, and other researchers across campus who are interested in learning how to use R for geographic analysis and visualization. Basic statistical knowledge and some familiarity with R are encouraged but not required to attend this workshop.
**Requirements**: Participants must bring a laptop onto which they can [download R and Rstudio](https://posit.co/download/rstudio-desktop/) (and you should do so before the workshop).
**Contact**: Please email [email protected] or [email protected] for more information.
## Schedule
| Time | Topic | Incomplete .qmd | Complete .qmd |
| ----:|:----|:---------------|:-----------------|
| 9:00 | Introduction and Setup | | |
| 9:30 | **Hands-on:** Working with Spatial Data | | |
| 10:00 | **Hands-on:** Mapmaking | | |
| 10:30 | *Break* | | |
| 10:45 | Regression with Spatial Data | | |
| 11:00 | **Hands-on:** Spatial Regression | | |
| 11:30 | *Break* | | |
| 11:45 | **Hands-on:** Multilevel/hierarchical spatial regression | | |