Visualizing Geospatial Data in R

Starting at USD 39.00
4 hours duration

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Are you wondering where to buy a house to maximize your investment? If so, this course is designed to help you navigate the complex world of spatial analysis in R. Many people find spatial analysis intimidating due to the intricate nature of the data objects involved. In this course, we will start by familiarizing you with spatial data using objects you are already familiar with, such as data frames. We will then introduce you to the specialized objects from the sp and raster packages, which are commonly used to represent spatial data for analysis in R. Throughout the course, you will learn how to read, explore, and manipulate these objects, ultimately enabling you to utilize the tmap package to create visually appealing maps. By the conclusion of this course, you will have gained the skills necessary to create maps showcasing property sales in a small town, population distributions of various countries, the concentration of individuals in the North East of the USA, and median income levels in different neighborhoods of New York City.

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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