Introduction to GIS: Spatial Data Analysis with QGIS 4.2 (494 ratings) Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
What you’ll learn
- Install QGIS and Google Earth Engine
- Import CSV and GIS data into QGIS
- Understand projection and coordinate systems
- Download and map raster data from public repository
- Learn to differentiate between vector and raster data
- Perform spatial query with tabular data
- Perform point pattern analysis
- Generate Heatmap using Kernel Density Algorithm
- Learn to create and share online maps using web GIS platforms
- Learn to perform various spatial analysis including buffer, joins, clipping and other spatial analysis
- Complete a final GIS project on downloading, processing, analyzing and visualizing geospatial data.
Do you want to learn how to access, process and analyze geospatial data using open source tools?
Do you want to master the fundamental concepts of a geographic information systems?
Do you want to acquire new hands on geospatial skills that will prepare you for a GIS job in the geospatial industry?
You are here because you want to learn geographic information systems with open source tools, right?
I am happy to have you here!
You may be new to GIS, or you may have a little GIS experience.
This course is perfect for anyone who wants to learn GIS from scratch to access, process, analyze, visualize and share spatial data.
INTRODUCTION What is Spatial Analysis? Spatial analysis has become a central practice in the field of conservation, allowing scientists to model and explore geographic questions on biodiversity and ecological systems. GIS (Geographic Information System) is an important integrative tool for mapping, analyzing, and creating data for spatial analyses.
Spatial Analysis of Data Using QGIS and SNAGIT