Spring 2021 Open Source GIScience

Most of the questions and solutions this semester were posted in the Issues feature for this pages repository.

Lessons

• Syllabus: get an introduction to the course
• Calendar: see an overview of topics
• Honor Code: establish professional conduct in Open GIScience
• Publishing GitHub Pages: publish a website with GitHub, Jekyll, and Markdown.
• What is Open GIScience?: learn about Open GIScience
• Gravity Model in QGIS: review the gravity model of spatial interaction and automate it in QGIS graphic modeler
• Show me the Code, Distance Matrix: illustrate the importance open source code
• Gravity Model: Finalize & Publish: complete a solution for the Gravity model and publish to GitHub
• GIS as Reproducible Science: debate whether GIS is a reproducible and replicable science
• First In-Person Lab: peer review and revise our QGIS models and GitHub pages
• Error and Uncertainty: develop conceptual tools for describing and managing error and uncertainty
• Rosgen Stream Classification: learn how geomorphologists apply spatial concepts to understand streams
• Rosgen Classification in GRASS/R: replicate stream classification methods in GIS using GRASS and open science protocols
• Concluding the Rosgen Replication: use a template to report on a reproduction study
• OpenStreetMap and PostGIS: learn OpenStreetMap and PostGIS through structured experimentation
• Database Ethnography: investigate data and its social context
• Querying OpenStreetMap: investigate OpenStreetMap data with SQL queries
• Urban Resilience Analysis: execute and publish a spatial urban resilience analysis
• Discourse and Discipline of GIS: debate how to counter problematic representations of GIS
• Demographic and Health Surveys Data: access and investigate DHS survey data for Malawi
• Climate Vulnerability in Malawi: understand methodology for mapping climate vulnerability in Malawi
• Spatial R: learn fundamentals of R for spatial analysis
• Malawi Data: investigate data for the study and revise preanalysis plan
• Malawi Preliminary Analysis: study and execute R code for the analysis
• Uncertainty in Vulnerability Models: study sources of uncertainty in spatial multi-criteria evaluation models
• Georeferencing and Digitizing: use a tutorial to georeference and digitize PDF maps
• Finalizing Malawi Climate Vulnerability Reproduction: complete, compare and interpret the replication study
• Comparing Choropleth Maps: learn methods to quantitatively assess Choropleth map agreement and accuracy
• Malawi Reproduction Due: finalize revisions and report for Malcomb et al (2014) reproduction
• Spatial Twitter Analysis: explore methods for verifying the accuracy of choropleth maps
• Humanitarian GIS: debate applications, limitations, and ethical issues in Humanitarian GIS
• Spatial Hot Spots in Twitter: learn and apply the Getis Ord hot spot statistic
• Spatial COVID Webinar: view cutting edge COVID research
• Hour of CI Tutorial: practice introductory spatial python using cyber-infrastructure
• Where COVID-19 Analysis: study the research paper and implementation of a COVID-19 accessibility analysis
• Reproducibility vs Ethics: debate the tensions between reproducible research and ethical research
• Where COVID-19 Analysis: comprehend, critique, and improve the COVID accessibility study repository
• Where COVID-19 Analysis: study the research paper and implementation of a COVID-19 accessibility analysis
• Last Day Together: celebrate and review
• The End