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When & Where
Date: 
Fri, December 13, 2019 - 10:00 AM to 12:00 PM
Location: 
Barrows 371
Description
Type: 

Part 2: Working With Projections & Spatial Queries

In this two-hour workshop, students will build on Part 1, exploring "on-the-fly" projection transformations in QGIS and practicing spatial queries. They will practice with CRS transformations and learn about some commonly used CRSs. Students will also get familiar with some capabilities of QGIS for working with attribute tables and building queries based on attribute values and topological relationships. They will have the opportunity to practice working with attribute tables, explore topological relationships between data layers and features, and will learn to build both attribute and topological queries using QGIS tools. (prerequisite: GIS Fundamentals with QGIS: Part 1)

This workshop will cover methods for mapping tabular geospatial data. Participants will learn how to add columns (or fields) to the attribute table that describes geographic features. This allows new variables to be created, updated, mapped and analyzed. We will then explore data table joins that allow you to link the content in two tables together based on a common field. We will be using QGIS to explore these two tools. Along the way we will work through some commonly encountered problems with joins.

Primary Tool: 
QGIS
Details
Training Host: 
D-lab Facilitator: 
Patty Frontiera
Format Detail: 
Hands-on, interactive
Participant Technology Requirement: 
Laptop

Basic Competency

These workshops are designed for participants with beginner fluency. They already have a little coding, tool or method experience but need to learn more intermediate applications such as conditional subsetting and appropriate data visualizations for their research. 

Examples: Introduction to Pandas, R-wrang, Data Visualization with Python, R-graphics, Survey Sampling, Weighting Data, Introduction to Qualtrics, Finding Health Statistics and Data, Data Viz Theory and Best Practices, Python Machine Learning, Machine Learning in R, Intro to Computational Text Analysis, Geospatial Fundamentals in Python/sf/QGIS/ArcGIS, Intermediate Tableau

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