Introduction to Spatial Data Analysis and GIS in R

سرفصل های دوره

Learn GIS from 0 in R with theory and practice, using sf, terra, mapview, and much more for vector and raster analysis!

1. Introduction

1. Introduction to the course

2. Environment set up (install R, Rtools and RStudio)

3. Rate the course.html

4.1 02 course class.zip

4. Course contents.html

5.1 03 course results.zip

5. Results of the course.html

6. Overview of course contents and packages installation

7. Update packages (recommended, optional).html

2. Introduction to Spatial Data - Theory

1. Module introduction

2. Spatial Data vs Non-Spatial Data

3. Geometry types

4. Simple features

5. QUIZ - Spatial data theory.html

3. Introduction to Spatial Data - Practice

1. Module introduction

2. Data download

3. Exploratory Data Analysis I

4. Exploratory Data Analysis II

5. Convert data frame to spatial object

6. Theory - Vectorial formats

7. Exporting shapefiles from R

8. Importing shapefiles into R

9. ImportingExporting from Geopackage

10. Creating exporatory maps

11. Simple features are tidy data

12. Spatial Properties - Bounding box

13. Spatial Properties - Coordinates and Attributes table

14. Spatial Properties - Geometry type

15. Spatial Properties - Coordinates Z and M

16. Summary of the module

4. CHALLENGE 01 - Introduction

1. Overview of Challenge 01

2. Solution of Challenge 01

5. Coordinates Reference Systems - Theory

1. Module introduction

2. Coordinates Reference System (CRS)

3. Geographic CRS vs Projected CRS

4. UTM Coordinates

5. Projections

6. Codifications for CRS

7. Codifications for geometries

8. Webs of interest

9. QUIZ - CRS theory.html

6. Coordinates Reference Systems - Practice

1. Module introduction

2. CRS in simple features

3. CRS transformation

4. Visualizing in different CRS

5. CRS transformation using proj4

6. CRS transformation on the fly

7. Assign vs Transform the CRS - Common errors

8. Summary of the module

7. CHALLENGE 02 - CRS

1. Overview of Challenge 02

2. Solution of Challenge 02

8. Geometry Operations - Theory

1. Module introduction

2. Spatial predicates

3. Spatial measurements

4. Unary transformations

5. Binary transformations

6. QUIZ - Geometry operations.html

9. Geometry Operations - Practice

1. Module Introduction

2. Working data

3. Predicate functions for counting

4. Spatial Filters I

5. Spatial Filters II

6. Spatial joins

7. Measures - Length

8. Measures - Area

9. Measures - Distances

10. Unary Transformations - Centroids

11. Unary Transformations - Buffer

12. Unary Transformations - Validate geometries

13. Unary Transformations - Simplify geometries

14. Unary Transformations - Voronoi Polygons

15. Unary Transformations - Delaunay Triangulation

16. Binary Transformations - Intersection and Crop

17. Binary Transformations - Difference

18. Binary Transformations - Symmetric Difference

19. Binary Transformations - Symmetric Difference with terra

20. Binary Transformations - Combine geometries

21. Binary Transformations - UnionDissolve I

22. Binary Transformations - UnionDissolve II

23. Summary of the Module

10. CHALLENGE 03 - Geometry Operations

1. Overview of Challenge 03

2. Solution of Challenge 03 - I

3. Solution of Challenge 03 - II

4. Solution of Challenge 03 - III

11. Introduction to Raster Data - Theory

1. Module Introduction

2. Introduction to raster data

3. Raster Fundamentals

4. Analysis of raster data

5. QUIZ - Raster Data.html

12. Introduction to Raster Data - Practice

1. Module Introduction

2. Load working data - Download DEM

3. SpatRaster properties

4. Terrain rasters - Slope, aspect ...

5. Multiband raster

6. Crop and Mask a raster

7. Reclassify continuous rasters

8. Extract values from a raster

9. Arithmetic operations

10. Aggregate a raster

11. Disaggregate a raster

12. Rasters are images

13. Composites - RGB and False Color

14. Calculate NDVI

15. Calculate SAVI

16. Summary of the Module

13. CHALLENGE 04 - Raster

1. Overview of Challenge 04

2. Solution of Challenge 04 - I

3. Solution of Challenge 04 - II

14. Maps with ggplot2

1. Map 01 - Introduction

2. Map 01 - Load data

3. Map 01 - Prepare data and first map

4. Map 01 - Generating Intervals

5. Map 01 - Spanish Population by Municipality

6. Map 01 - Export map

7. Maps 02 and 03 - Introduction

8. Map 02 - Load data and system fonts

9. Map 02 - Install fonts

10. Map 02 - Prepare data

11. Map 02 - Bear Occurrences in Picos de Europa I

12. Map 02 - Export map

13. Map 03 - Bear Occurrences in Picos de Europa II

14. Map 03 - Export map

15. Map 04 - Introduction

16. Map 04 - Load data I

17. Map 04 - Load data II

18. Map 04 - Rivers of Galicia

19. Map 04 - Export map

20. Map 05 - Introduction

21. Map 05 - Prepare data

22. Map 05 - Andean Bear in Peru

23. Map 05 - Export map

24. Map 06 - Introduction

25. Map 06 - Load data

26. Map 06 - Calculate dNBR

27. Map 06 - Reclassify dNBR

28. Map 06 - Tenerife Wildfire Severity

29. Map 06 - Export map

15. Webmaps with mapview and leaflet

1. Webmap 01 - Introduction

2. Webmap 01 - Colors and transparency

3. Webmap 01 - Colour map by variable

4. Webmap 01 - Spanish Population by Municipality

5. Webmap 01 - Export webmap

6. Webmap 02 - Introduction

7. Webmap 02 - Bear in Picos de Europa

8. Webmap 02 - Measurements widget and minimap

9. Webmap 02 - Export webmap

10. Webmap 03 - Introduction

11. Webmap 03 - Galicia Rivers

12. Webmap 03 - Export webmap

13. Webmap 04 - Introduction

14. Webmap 04 - Andean Bear in Peru

15. Webmap 04 - Export

16. Webmaps 05 and 06 - Introduction

17. Webmap 05 - Tenerife Wildfire (synchronized)

18. Webmap 05 - Export webmap

19. Webmap 06 - Tenerife Wildfire (side by side)

20. Webmap 06 - Export webmap

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