Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 45 Minute(s)
Language
English
Taught by
Andrés Salazar
Rating
2 views
Course Overview
Manage large amounts of geospatial data with R applied to remote sensing and GIS.
Hello! I invite you to enroll in my course on GIS and remote sensing using R software, which you will be able to combine seamlessly with QGIS, ARCGIS, Google Earth Engine, among others.
Give a twist to your professional career with a new skill that will put you a step above the rest, because programming applied to GIS and remote sensing is here to stay!
R is a program widely used around the world and makes it easy to analyze satellite data. Forget about spending hours processing an image or vector file. Increase your productivity and don't fill your computer with unnecessary memory.
Forget about having to perform the same procedure over and over again in a slow and tiring way. Create your own programming codes, giving them your special touch, because programming is an art and merged with GIS and remote sensing creates a masterpiece.
Welcome to the world of reproducible research, where through programming codes you will be able to replicate specific tasks and functions as many times as you want and in an easy way.
Be part of the worldwide R community, where everyone helps each other in order to learn as much as possible.
What are you waiting for! It's up to you to join the world of Big Data in remote sensing!
Sign up for the course and I promise you won't regret it!
See you in class!
Andrés.
Course Content
- 4 section(s)
- 31 lecture(s)
- Section 1 Introduction
- Section 2 Vectors
- Section 3 Raster
- Section 4 Last section
What You’ll Learn
- Spatial analysis
- Vector processing
- Raster processing
- Some tidyverse functions
Reviews
-
MMohammad Alsahli
It needs more explanation. For instance, in the lesson "Analyze Shapefile", the instructor should explain more about converting character to factor. For example: "to analyze the attribute data, they should be in the right data format. Here, columns 3 to 5 were set as character which does not allow us to retrieve useful information about these columns. For example, the "Type" column, which shows the type of protected areas, was set as character. When using the "summary" function, we can not know how many reserved areas are in Chile, but when converting this column to factor, such information can be retrieved using the summary function."
-
FFabricia de Souza Paz
Ótimo curso, as aulas são super didáticas!
