Spatial Data with R

You want to get the most value for your money. Where should you buy a house? A map might be the best place to start. Because of the many objects in R, spatial analysis can be difficult.

This course will introduce you to spatial data. The course starts with data frames, which are objects that you already know. It then moves to special objects in the SP and raster packs that are used for representing spatial data in R. Finally it will allow you to use tmap when creating maps.

By the end of the course, you will be able create maps of small towns, North East USA population distributions, North American people distributions, and New York City median income neighborhoods.

R is an excellent tool for spatial analysis. The new sf package makes vector analysis in R easy. You no longer need to do spatial analysis in GIS software such as ArcGIS or QGIS. Or convert your results into another system. Now you can move all your spatial analysis workflows into R. Learn how buffering, spatial joins, and computing intersections are used to geoprocess vectors. It will be possible to simplify distance measurement. Raster can be used to reclassify, crop, mask, extract and crop data. The last chapter of this course will teach you how to create R maps using the ggplot2 and tmap packages. This chapter also shows you how to do a mini-analysis which combines all your new skills.

Every event happens somewhere. A database stores the exact location of these events. This is becoming more common. It is true that 80% of data contains a spatial component. What can we do using spatial data? Spatial statistics is an excellent way to make use of this data. It is crucial to consider the location of everything in our lives. This includes traffic collisions, disease outbreaks, and gold mines in the mountains. This course will teach you how to use spatial data analysis. This course will help you understand the basics of spatial analysis and the types of statistical problems that they can cause. This course will teach you how to analyze a maze made up of dots on a map and uncover meaningful insights.

Have fun creating maps! Interactive Maps with Leaflet In R will show you how to create interactive webmaps from spatial data and tidyverse. This course will show you how to create maps using the IPEDS dataset. It includes data about U.S. universities and colleges. The maps can be customized with labels, popups, and other custom markers. To enhance interactivity, layers can be added. Learn how to create interactive web maps using your data.