SOC 4650 & SOC 5650 - Lecture 01

SOC 4650 & SOC 5650 - Lecture 01

Slides for Lecture 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.

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Christopher Prener

January 13, 2020
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Transcript

  1. ArcGIS Pro requires a login - if you have not

    already done so, please follow the invitation email’s instructions. Make sure you have completed all of the course onboarding tasks listed on the course website 
 (https://slu-soc5650.github.io) Log into the desktop (unless you are using your own laptop) and make sure you know where the RStudio icon and ArcGIS Pro icons are (may be on the Desktop or in the Start Menu). WELCOME! GETTING STARTED
  2. COURSE INTRODUCTION SOC 4650/5650: INTRODUCTION TO GIS CHRISTOPHER PRENER, PH.D.

    SPRING 2020 WEEK 01 LECTURE 01
  3. AGENDA INTRODUCTION TO GIS / WEEK 01 / LECTURE 01

    1. Front Matter 2. Introductions 3. Syllabus Overview 4. Defining GIS 5. What is a Workflow? 6. Our First Maps! 7. Back Matter
  4. 1 FRONT 
 MATTER

  5. We do not have class next Monday; you will need

    to work through Chapter 1 of the GIS Tutorial book at your own pace. Some videos replicating key aspects are available as well. 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.
  6. INTRODUCTIONS 2

  7. ▸ Assistant Professor of Sociology ▸ Coordinator, Sociology Honors Thesis


    ▸ Primary faculty mentor for the Computation Geospatial Science Minor (for undergrads)
 ▸ Former EMT and EMS Dispatcher
 ▸ Feel free to call me “Dr. Prener”, “Professor Prener”, or “Chris” 2. INTRODUCTIONS ABOUT CHRIS
  8. ▸ Things I teach: • SOC 1120: Introduction to Sociology

    - Diversity & Health Emphasis • SOC 3220: Urban Sociology & The Wire • SOC 4015/5050: Quantitative Analysis 
 ▸ SLU Data Science Seminar 2. INTRODUCTIONS ABOUT CHRIS
  9. ▸ Things I research: • Paramedic work and the EMS

    system as a part of the social safety-net • Urban order/disorder, segregation, and health • Mental health outcomes, literacy, and discrimination • Approaches to processing “big” and complex data 2. INTRODUCTIONS ABOUT CHRIS
  10. YOUR TURN! ▸ What is your name? ▸ What is

    your program/major? ▸ Have you taken GIS class or use GIS software before? ▸ Have use used R before? #. SECTION NAME
  11. SYLLABUS OVERVIEW 3

  12. Pierre Bourdieu On Television
 (1996) THE FUNCTION OF SOCIOLOGY, AS

    OF EVERY SCIENCE, IS TO REVEAL 
 THAT WHICH IS HIDDEN. empirically ^
  13. seeing like a
 social scientist,

  14. seeing like a
 social scientist,
 thinking like a
 data scientist

  15. data scientist statistics substantive
 knowledge communication
 & visualization programming

  16. geospatial data scientist statistics substantive
 knowledge communication
 & visualization programming

  17. COURSE OBJECTIVES 1. Geographic Information Science 2. Data Management 3.

    Data Visualization 4. Analysis Development 5. GISc and Public Policy 6. Research Synthesis 3. SYLLABUS OVERVIEW
  18. COURSE OBJECTIVES 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 3. SYLLABUS OVERVIEW
  19. COURSE OBJECTIVES 1. Geographic Information Science 2. Data Management -

    Perform basic data cleaning tasks using R, construct geo-databases using ArcGIS Pro for data organization and storage, and modify that data using ArcGIS Pro’s geoprocessing tools. 3. Data Visualization 4. Analysis Development 5. Research Synthesis 3. SYLLABUS OVERVIEW
  20. COURSE OBJECTIVES 1. Geographic Information Science 2. Data Management 3.

    Data Visualization - Create and present visualizations of spatial data using R, ArcGIS Pro, and other design tools. 4. Analysis Development 5. Research Synthesis 3. SYLLABUS OVERVIEW
  21. COURSE OBJECTIVES 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 3. SYLLABUS OVERVIEW
  22. COURSE OBJECTIVES 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. 3. SYLLABUS OVERVIEW
  23. 3. SYLLABUS OVERVIEW BOOKS

  24. 3. SYLLABUS OVERVIEW BOOKS

  25. 3. SYLLABUS OVERVIEW WEBSITE https://slu-soc5650.github.io

  26. 3. SYLLABUS OVERVIEW WEBSITE https://slu-soc5650.github.io

  27. 3. SYLLABUS OVERVIEW CALENDLY https://calendly.com/chris-prener

  28. 3. SYLLABUS OVERVIEW CALENDLY https://calendly.com/chris-prener

  29. 3. SYLLABUS OVERVIEW WEBSITE https://slu-soc5650.github.io

  30. 3. SYLLABUS OVERVIEW WEBSITE https://slu-soc5650.github.io

  31. 3. SYLLABUS OVERVIEW SYLLABUS https://slu-soc5650.github.io/syllabus

  32. 3. SYLLABUS OVERVIEW SYLLABUS https://slu-soc5650.github.io/syllabus

  33. 3. SYLLABUS OVERVIEW https://github.com/slu-soc5650

  34. 3. SYLLABUS OVERVIEW https://slu-soc5650.slack.com

  35. 3. SYLLABUS OVERVIEW SOFTWARE ArcGIS Pro R Programming 
 Language

    RStudio
  36. COURSE POLICIES 1. Compassionate Coursework & Title IX 2. Attendance

    & Participation 3. Communication 4. Electronic Devices 5. Student Support 6. Academic Honesty 7. Submission & Late Work 3. SYLLABUS OVERVIEW
  37. 3. SYLLABUS OVERVIEW PRACTICE MINDFULNESS

  38. 3. SYLLABUS OVERVIEW PRACTICE PATIENCE

  39. 3. SYLLABUS OVERVIEW PRACTICE COMPASSION

  40. ASSIGNMENTS 1. Participation 2. Labs 3. Problem Sets 4. Final

    Project 3. SYLLABUS OVERVIEW 10% 24% 30% 36% 100 240 300 360 1,000 50 * 2 = 16 * 15 = 50 * 6 =
  41. GRADING 1. Participation 2. Labs 3. Problem Sets 4. Final

    Project 3. SYLLABUS OVERVIEW + - Excellent Satisfactory Substantial
 Improvement
 Needed 100% 85% 75% ◦ ◦
  42. GRADING 1. Participation 2. Labs 3. Problem Sets 4. Final

    Project 3. SYLLABUS OVERVIEW within 24-hours 24 to 48-hours 48 to 72-hours -15% -30% -45% > 72-hours -100% ◦ ◦ ◦
  43. 3. SYLLABUS OVERVIEW COURSE FLOW

  44. 3. SYLLABUS OVERVIEW COURSE FLOW REMEMBER

  45. 3. SYLLABUS OVERVIEW COURSE FLOW REMEMBER COMPREHEND

  46. 3. SYLLABUS OVERVIEW COURSE FLOW REMEMBER COMPREHEND APPLY

  47. 3. SYLLABUS OVERVIEW COURSE FLOW REMEMBER COMPREHEND APPLY ANALYZE CREATE

    Build on Prior Weeks
  48. DEFINING GIS 4

  49. FOUR IMPORTANT TRENDS a

  50. TRENDS: SMARTPHONES 4. DEFINING GIS

  51. TRENDS: BIG DATA 4. DEFINING GIS

  52. TRENDS: DEMAND FOR GIS 4. DEFINING GIS

  53. TRENDS: OPEN SOURCE SOFTWARE 4. DEFINING GIS

  54. WHAT ARE SPATIAL DATA? b pro tip: ‘data’ is the

    
 plural form of ‘datum’!
  55. 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 4. DEFINING GIS
  56. 4. DEFINING GIS WHAT ARE SPATIAL DATA? A combination of

    two forms of data Tabular Geometric
  57. WHAT ARE SPATIAL DATA?

  58. WHAT ARE GIS AND GISC? c

  59. 4. DEFINING GIS ALPHABET SOUP GIS = geographic information system

  60. 4. DEFINING GIS ALPHABET SOUP GIS = geographic information system

  61. 4. DEFINING GIS ALPHABET SOUP GPS = global positioning system

  62. 4. DEFINING GIS ALPHABET SOUP GISc = geographic information science

  63. WHAT ARE SPATIAL DATA USED FOR? d

  64. 5. DEFINING GIS THREE MAJOR USES Reference Maps Spatial Statistics

    Thematic Maps
  65. 4. DEFINING GIS REFERENCE MAP SLU North Campus SLU Medical

    Campus Shaw St. Louis Missouri Botanical Garden Shaw Market Flora Place Mullanphy Elementary
  66. 4. DEFINING GIS THEMATIC MAP

  67. 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)
  68. 4. DEFINING GIS SPATIAL STATISTICS

  69. 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
  70. WHAT IS A WORKFLOW? 5

  71. 5. WHAT IS A WORKFLOW? WORKFLOWS SOLVE SPECIFIC PROBLEMS 12

  72. 5. WHAT IS A WORKFLOW? WORKFLOWS SOLVE SPECIFIC PROBLEMS 33,425

    There are two types of people in this world…
  73. 5. WHAT IS A WORKFLOW? WORKFLOWS SOLVE SPECIFIC PROBLEMS Update

    inboxes several times per day Delete spam, junk Respond no Snooze 
 for later 8:30 AM 
 & 4:00 PM processing Archive Respond yes response task Skim remaining messages - is the next action a response or task? Clip email to to-do list Does responding take < 2 minutes?
  74. 5. WHAT IS A WORKFLOW? WE HAVE A REPRODUCIBILITY PROBLEM

    “1,500 scientists lift the lid on reproducibility” (Baker 2016)
  75. 5. WHAT IS A WORKFLOW? WE HAVE A REPRODUCIBILITY PROBLEM

    “1,500 scientists lift the lid on reproducibility” (Baker 2016)
  76. 5. WHAT IS A WORKFLOW? HIGH LEVEL WORKFLOW 1. Plan

    2. Organize 3. Document 4. Execute FOR EACH
 STEP:
  77. OUR FIRST MAPS! 6

  78. 7 BACK 
 MATTER

  79. AGENDA REVIEW 2. Introductions 3. Syllabus Overview 4. Defining GIS

    5. What is a Workflow? 6. Our First Maps! 7. BACK MATTER
  80. REMINDERS 7. BACK MATTER 8. Back matter Announcement Text We

    do not have class next Monday; you will need to work through Chapter 1 of the GIS Tutorial book at your own pace. Some videos replicating key aspects are available as well. We’ll end every class with “Back Matter” - goal is to review what we covered, what due dates are coming up, and any announcements. 8. Back matter The first lab, based on the material covered by Chapter 1, will be due the following Monday.