Intro to QGIS
Utilize raster and vector data in this introduction to open-source GIS. Users will have a brief introduction to the QGIS interface and will learn basic GIS methods.
QGIS
Quantum GIS (QGIS) is a free and open-source GIS software, meaning that it can be edited by users all over the world to create an ever-evolving, rich software system. QGIS has many of the same capabilities as commercial GIS software, processes are just performed a bit differently. Users can run QGIS software on Mac, PC, or Linux computers. At any given time, there are usually two versions of QGIS available: the latest release, which has the richest features, but may still contain some bugs, and the long-term release (LTR), which is the most stable version of the software, but may lack some newer tools and features.
QGIS has built in tools, such as Clipping or Reprojecting, as well as extensional tools, that can be accessed by using plugins.
Built In Tools
QGIS Tools: These are tools that are developed along with the QGIS software.
GDAL Tools: Geospatial Data Abstraction Library (GDAL) tools work to primarily translate data between different formats (ie. Vector to Raster)
GRASS Tools: Geographic Resources Analysis Support System (GRASS) tools are primilarily used to conduct remote sensing on raster imagery
SAGA Tools: System for Automated Geoscientific Analyses (SAGA) tools run spatial algorithms for modeling and more advanced spatial statistics
Plugin Tools
Plugins are additonal toolboxes and functionalities that can be added into QGIS to perform processes that may not be availabe with the built in tools. Plugins are created by developers and organizations worldwide. The "Ready to Use" plugins can be easily accessed through the Plugins tab within QGIS, or users can browse all plugins and import them as zip files.
Intro to QGIS Workshop Outline
Day 1: Working with Vector Data
Understanding the QGIS Interface
Opening shapefiles
Creating attribute joins
Exporting to shapefile
Different ways to symbolize data
Selecting by expression
Visualizing XY data from a comma seperated value (CSV) table
Creating a new polygon and using the editing toolbar
Clipping by area of interest (AOI)
Creating a heat map
Selecting by location
Buffering data
Creating a map layout
Day 2: Working with Raster Data
Opening raster data
Mosaicing (merging) raster data
Creating a hillshade
Analyizing the DEM with slope and hillshade analysis
Working with the raster calculator