Introducción a Análisis de Datos Espaciales y SIG en R

Dive into Spatial Data Analysis with R! This course is perfect for beginners and intermediate users eager to explore the world of spatial data analysis using the powerful programming language R. We'll focus on current packages and practical applications for working with real-world spatial data.

Course Content:

• Section 01: Introduction to Spatial Data
  • Understand the essential fundamentals of spatial data analysis.
  • Learn how to manage spatial data within R.
• Section 02: Coordinate Reference Systems
  • Explore coordinate reference systems and their crucial role in spatial analysis.
• Section 03: Geometry Operations
  • Master key operations on geometries, including spatial filtering, spatial joins, spatial predicates, and transformations like calculating centroids and creating buffers.
• Section 04: Raster Data
  • Discover raster data and common tasks performed with it.
  • Includes a brief introduction to remote sensing.
• Section 05: Mapping with ggplot2
  • Become proficient in creating stunning maps using ggplot2.
  • Integrate your previous skills to effectively visualize spatial data.
• Section 06: Web Mapping
  • Elevate your visualizations by building interactive web maps with mapview and leaflet extensions, including synchronized maps.

Course Details:

• Duration: Approximately 14 hours and 30 minutes.
• Lessons: Over 150 lessons guiding you from basic concepts to advanced spatial data analysis techniques in R.
• Teaching Method: Combines theory and quizzes to reinforce learning, guided practical exercises, and problem-solving exercises with solutions.

This intensive course takes you from the basics to advanced skills in spatial data analysis and visualization. By the end, you'll not only be an intermediate user but a confident expert with a strong understanding of this exciting field.

Join me and unlock the power of R for spatial data analysis! We look forward to seeing you in class.