V
Free Download Spatial data and geographic information systems (GIS) in R
Published 8/2023
Created by Priya Patel
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lectures ( 3h 19m ) | Size: 1.52 GB
Learn R programming with a focus on spatial data and GIS applications. Learn how to create, modify, and map data!
What you'll learn
Learn how to use R for GIS
Create rasters, polygons, and other spatial data types
Learn how to plot and create beautiful maps
Start a GIS project from start to finish
Requirements
No programming experience needed.
Description
Embark on an exciting and transformative journey into the world of Spatial Data Science with our beginner-level course! Are you curious about how the power of location data can unlock valuable insights and revolutionize industries? This comprehensive course is tailored for beginners, providing a solid foundation in spatial data analysis, visualization, and interpretation. Discover the fascinating intersection of data and location through user-friendly lectures, hands-on exercises, and engaging projects. Our expert instructors will guide you step-by-step, ensuring you feel confident working with Geographic Information Systems (GIS) and exploring diverse spatial datasets.Unravel the mysteries of spatial patterns, relationships, and trends as you delve into real-world applications across industries such as urban planning, environmental studies, marketing, logistics, and more. Gain practical skills that are in high demand and open up a world of career opportunities.No prior experience is necessary - just bring your enthusiasm to learn and an eagerness to harness the power of spatial data. By the end of this course, you'll be equipped with the essential tools to tackle spatial challenges and confidently venture into more advanced data science pathways.Don't miss out on this golden opportunity to kickstart your spatial data science journey! Enroll now and unlock a world of possibilities in this dynamic and rewarding field. Discover how spatial data can shape the future and revolutionize the way we interpret information!
Who this course is for
Anyone interested in R, GIS, or spatial data science.
Homepage
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