SOC 4650 and SOC 5650 - Meeting 01

Slides for Meeting 01 of the Saint Louis University Course Introduction to GIS. These slides introduce the course, the idea of workflows, and the interactive mapping tool leaflet.

Transcript

1. Make sure you have completed all of the course onboarding tasks listed on the course website (https://slu-soc5650.github.io) WELCOME! GETTING STARTED
2. COURSE INTRODUCTION SOC 4650/5650: INTRODUCTION TO GIS CHRISTOPHER PRENER, PH.D. SPRING 2021 MODULE 01 MEETING 01
3. AGENDA INTRODUCTION TO GIS / MODULE 01 / MEETING 01 1. Front Matter 2. Syllabus Overview 3. Defining GIS 4. Web Mapping COVID in MO 5. Our First Maps! 6. Back Matter
4. 1 FRONT MATTER
5. There will be videos posted later this week to view before class on Monday. 1. FRONT MATTER ANNOUNCEMENTS We’ll start every class with “Front Matter” - goal is to share what we are covering, what due dates are coming up, and any announcements. The syllabus will be completed after we see how tonight goes - stay tuned!
6. SYLLABUS OVERVIEW 2
7. Pierre Bourdieu On Television (1996) THE FUNCTION OF SOCIOLOGY, AS OF EVERY SCIENCE, IS TO REVEAL THAT WHICH IS HIDDEN. empirically ^
8. seeing like a social scientist,
9. seeing like a social scientist, thinking like a data scientist
10. data scientist statistics substantive knowledge communication & visualization programming
11. geospatial data scientist statistics substantive knowledge communication & visualization programming
12. COURSE OBJECTIVES 2. SYLLABUS OVERVIEW 1. Geographic Information Science 2. Data Management 3. Data Visualization 4. Analysis Development 5. Research Synthesis
13. COURSE OBJECTIVES 2. SYLLABUS OVERVIEW 1. Geographic Information Science - Describe the concepts that form the foundation of GISc work. 2. Data Management 3. Data Visualization 4. Analysis Development 5. Research Synthesis
14. COURSE OBJECTIVES 2. SYLLABUS OVERVIEW 1. Geographic Information Science 2. Data Management - Perform basic data cleaning and geoprocessing tasks using R. 3. Data Visualization 4. Analysis Development 5. Research Synthesis
15. COURSE OBJECTIVES 2. SYLLABUS OVERVIEW 1. Geographic Information Science 2. Data Management 3. Data Visualization - Create and present visualizations of spatial data using R and ArcGIS Online. 4. Analysis Development 5. Research Synthesis
16. COURSE OBJECTIVES 2. SYLLABUS OVERVIEW 1. Geographic Information Science 2. Data Management 3. Data Visualization 4. Analysis Development - Apply techniques that make GISc work more reproducible, accurate, and collaborative using GitHub, R, Markdown, and other tools. 5. Research Synthesis
17. COURSE OBJECTIVES 2. SYLLABUS OVERVIEW 1. Geographic Information Science 2. Data Management 3. Data Visualization 4. Analysis Development 5. Research Synthesis - Plan and implement a spatial data analysis project that utilizes the techniques described throughout the course.
18. 2. SYLLABUS OVERVIEW BOOKS
19. 2. SYLLABUS OVERVIEW WEBSITE https://slu-soc5650.github.io
20. 2. SYLLABUS OVERVIEW WEBSITE https://slu-soc5650.github.io
21. 2. SYLLABUS OVERVIEW BLACKBOARD Course announcements, discussion board, and grade center
22. 2. SYLLABUS OVERVIEW CALENDLY https://calendly.com/chris-prener
23. 2. SYLLABUS OVERVIEW CALENDLY https://calendly.com/chris-prener
24. 2. SYLLABUS OVERVIEW WEBSITE https://slu-soc5650.github.io
25. 2. SYLLABUS OVERVIEW SYLLABUS https://slu-soc5650.github.io/syllabus
26. 2. SYLLABUS OVERVIEW SYLLABUS https://slu-soc5650.github.io/syllabus
27. 2. SYLLABUS OVERVIEW GITHUB https://github.com/slu-soc5650
28. 2. SYLLABUS OVERVIEW SOFTWARE ArcGIS Online R Programming Language RStudio
29. COURSE POLICIES 2. SYLLABUS OVERVIEW 1. Compassionate Coursework & Title IX 2. Attendance & Participation 3. Communication 4. Electronic Devices 5. Student Support 6. Academic Honesty 7. Submission & Late Work
30. PRACTICE MINDFULNESS 2. SYLLABUS OVERVIEW
31. PRACTICE PATIENCE 2. SYLLABUS OVERVIEW
32. PRACTICE COMPASSION 2. SYLLABUS OVERVIEW
33. ASSIGNMENTS 2. SYLLABUS OVERVIEW 1. Participation 2. Labs 3. Final Project 10% 28% 62% 50 140 310 1,000 25 * 2 = 14 * 10 = =
34. 1. Participation 2. Labs 3. Final Project ASSIGNMENTS 2. SYLLABUS OVERVIEW + - Excellent Satisfactory Substantial Improvement Needed 100% 85% 75% ◦
35. 2. SYLLABUS OVERVIEW CLASS FEATURES These are the two big ways I’m organizing our class this semester: “Flipped Classroom” (i.e. videos to watch before class meetings) Project-based Learning (i.e. you show me your skills through your final project)
36. DEFINING GIS 3
37. WHAT ARE SPATIAL DATA? a pro tip: ‘data’ is the plural form of ‘datum’!
38. WHAT ARE SPATIAL DATA? ▸ Data the can be represented spatially • They therefore have some type of spatial reference that locates data in two- or three-dimensional space ▸ Data that can (typically) be analyzed using statistical techniques • There is field at the intersection of geography and statistics known as spatial statistics 3. DEFINING GIS
39. 3. DEFINING GIS WHAT ARE SPATIAL DATA? A combination of two forms of data Tabular Geometric
40. WHAT ARE SPATIAL DATA?
41. WHAT ARE GIS AND GISC? b
42. 3. DEFINING GIS ALPHABET SOUP GIS = geographic information system
43. 3. DEFINING GIS ALPHABET SOUP GIS = geographic information system
44. 3. DEFINING GIS ALPHABET SOUP GPS = global positioning system
45. 3. DEFINING GIS ALPHABET SOUP GISc = geographic information science
46. WHAT ARE SPATIAL DATA USED FOR? c
47. 3. DEFINING GIS THREE MAJOR USES Reference Maps Spatial Statistics Thematic Maps
48. 3. DEFINING GIS REFERENCE MAP SLU North Campus SLU Medical Campus Shaw St. Louis Missouri Botanical Garden Shaw Market Flora Place Mullanphy Elementary
49. 3. DEFINING GIS THEMATIC MAP
50. EVERYTHING IS RELATED TO EVERYTHING ELSE, BUT NEAR THINGS ARE MORE RELATED THAN DISTANT THINGS. William Tobler “A computer movie simulating urban growth in the Detroit region” (1970)
51. 3. DEFINING GIS SPATIAL STATISTICS
52. p < .99 p < .95 p < .90 no sig. p < .90 p < .95 p < .99 hot spot cold spot 0 1-4 5-8 9-12 13-17 Hotspot Analysis Murders in St. Louis, 2008-2015 SPATIAL STATISTICS
53. WEB MAPPING COVID IN MO 4
54. OUR FIRST MAPS! 5
55. 6 BACK MATTER
56. AGENDA REVIEW 6. BACK MATTER 2. Syllabus Overview 3. Defining GIS 4. Web Mapping COVID in MO 5. Our First Maps!
57. The rest of the syllabus, and the video to watch before next class, will come out later this week! We’ll end every class with “Back Matter” - goal is to review what we covered, what due dates are coming up, and any announcements. The first lab, based today’s in-class exercise, will be due the next Monday. REMINDERS 6. BACK MATTER