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SOC 4650 and SOC 5650 - Meeting 01

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.

C07da636fa8428f90daa78b89c90bafb?s=128

Christopher Prener

February 01, 2021
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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