Manage large amounts of geospatial data with R applied to remote sensing and GIS.
☑ Spatial analysis
☑ Vector processing
☑ Raster processing
☑ Some tidyverse functions
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.
English
Language
Introduction
Course scripts
Course files
Load multiple packages
Vectors
Read shapefile
Analyze shapefile
Reproject vector
Filter a shapefile
Read many shapefiles
CSV to shapefile
Download country vector data from R
Join Excel sheet with a shapefile
Polygon area
Line length
Buffer
Centroid
Filter points within a polygon
Drawing geometries and exporting them as a shapefile
Raster
Read raster
Reproject raster
Raster calculator
Polygon to raster
Raster to polygon
Reclassify raster
Resampling
Crop raster
Calculate NDVI
Extract values from raster
Raster mosaic
Download DEM
Download raster of climatic variables
Last section
Final message