Introduction to GIS and Remote Sensing with R

Learn to import and visualize spatial data by loading a shapefile with the sf package in R, then plot and interact with a five-layer Congo National Park dataset using mapview.

Analyze shapefile data in R for GIS and remote sensing, loading tidyverse and sf, adjusting Chile's protected areas, selecting and renaming fields, converting to factors with across, and summarizing.

Load spatial packages, read a shapefile, view a vector in geographic coordinates, and reproject it to UTM coordinates using a transformation function.

Filter a shapefile’s attribute table in R to isolate Chile’s protected areas by region and type, identify the largest-area polygons, and export the resulting shapefile.

Learn to read and merge multiple shapefiles in R for GIS tasks. It demonstrates listing shapefile paths, applying read to each file with map, and exporting the merged data.

Learn to convert a csv to a shapefile in r by loading packages, reading the csv, specifying x and y coordinates, and creating a point shapefile for locations in chile.

Download country vector data from R, load and view the data to inspect country boundaries, and export the result as a shapefile.

Join an Excel sheet with a shapefile to map population across communes in a Chile region by aligning column names and performing a shapefile join in R.

Load the packages and shapefile, create an area column, and apply the area function to compute square metres. Divide by 10000 to convert the area values and review the results.

Calculate a line length in a shapefile using UTM coordinates, create a length column, and convert the result from meters to kilometers by dividing by 1000.

Load the necessary R packages, apply a 1000 meter buffer to a shapefile, and compare the results to analyze proximity in GIS and remote sensing.

Load the necessary packages and load the sheep file, then project to utm coordinates. Apply the centroid function to the ship file and plot the geometry.

Filter points that fall within a polygon, use contains to identify their indices, then visualize and export the selected results in R.

Draw lines, polygons, or points to create geometries and export them as a shapefile for GIS work in R.

read a raster from a bucket, use the roster function to read the raster, inspect layer dimensions, number of columns, resolution, extent, and values, then plot the raster for visualization.

Reproject a raster from UTM to geographic coordinates in R using the appropriate packages. Apply the conversion function to switch coordinate systems and verify the results.

Learn to use the raster calculator in R to load packages, manipulate rasters, create new layers, extract values, and compute statistics like mean, quintile, and median, including complex expressions.

Learn to convert a polygon shapefile to a raster by setting a 30-meter resolution, matching the extent to the shapefile, and assigning polygon areas to raster values.

Convert raster data to polygons in R by loading packages, applying the raster to polygons function with dissolve = true, and desegregate to refine boundaries.

Reclassify raster with discrete and continuous values by building a two-column matrix, apply the reclassify function in R, and export the new raster with writeRaster.

Learn how to resample a raster from 10-meter resolution to 30-meter resolution using the nearest neighbor method, preserving extent and applying resample in R.

Learn to work with a raster and shapefile in R, read them with raster and tidy packages, apply group and mosaic functions using area, and plot the result.

Learn to calculate ndvi from a sentinel-2 image by using red and near infrared bands, applying a region of interest mask, scaling bands by 10000, and visualizing the ndvi map.

Extract raster values at 25 UTM points, assemble elevation data, and analyze with a linear model and scatter plot, noting a -0.66 correlation and standard errors.

Learn to create a raster mosaic from overlapping rasters using the mosaic function, layering two rasters and adding a third, then export the final mosaic as a raster file.

Download a 30-meter resolution digital elevation model (DEM) by loading R packages, reading a shapefile for the Arrow Canyon region in southern Chile, and fetching the corresponding tile.

Download raster layers of climatic variables at multiple resolutions in R, using a shapefile to define area, compute centroids and coordinates, and extract a single monthly layer.

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