Example 4 using sp (Spatial Data Manipulation and Visualization)
R
# Load the sp packagelibrary(sp)# Create a simple SpatialPointsDataFramecoords <- data.frame( x = c(0, 1, 2), y = c(0, 1, 0))points <- SpatialPoints(coords)df <- data.frame(ID = c("A", "B", "C"))spdf <- SpatialPointsDataFrame(points, df)# Plot the SpatialPointsDataFrameplot(spdf, pch = 19, col = "red", main = "Simple SpatialPointsDataFrame") |
Output:
Introduction to Geospatial Data Analysis with R
In this example, we use the sp package to create a simple SpatialPointsDataFrame. We define coordinates (x and y) for three points, create a data frame for attribute data, and then combine them into a SpatialPointsDataFrame. Finally, we use the plot() function to visualize the points. We specify the pch argument to set the point type, the col argument to set the point color, and add a title to the plot.
Geospatial Data Analysis with R
Geospatial data analysis involves working with data that has a geographic or spatial component. It allows us to analyze and visualize data in the context of its location on the Earth’s surface. R Programming Language is a popular open-source programming language, that offers a wide range of packages and tools for geospatial data analysis.
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