Introduction to Spatial Data Analysis and GIS in R

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Adrian Cidre Gonzalez

12:53:03

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1. Introduction

1. Introduction to the course.mp4

12:31

2. Environment set up (install R, Rtools and RStudio).mp4

03:18

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.mp4

08:11

7. Update packages (recommended, optional).html

2. Introduction to Spatial Data - Theory

1. Module introduction.mp4

00:43

2. Spatial Data vs Non-Spatial Data.mp4

08:05

3. Geometry types.mp4

05:45

4. Simple features.mp4

05:39

5. QUIZ - Spatial data theory.html

3. Introduction to Spatial Data - Practice

1. Module introduction.mp4

02:01

2. Data download.mp4

06:18

3. Exploratory Data Analysis I.mp4

08:07

4. Exploratory Data Analysis II.mp4

11:20

5. Convert data frame to spatial object.mp4

03:16

6. Theory - Vectorial formats.mp4

03:43

7. Exporting shapefiles from R.mp4

04:41

8. Importing shapefiles into R.mp4

02:14

9. ImportingExporting from Geopackage.mp4

05:20

10. Creating exporatory maps.mp4

07:31

11. Simple features are tidy data.mp4

03:49

12. Spatial Properties - Bounding box.mp4

01:38

13. Spatial Properties - Coordinates and Attributes table.mp4

04:08

14. Spatial Properties - Geometry type.mp4

01:55

15. Spatial Properties - Coordinates Z and M.mp4

02:05

16. Summary of the module.mp4

01:28

4. CHALLENGE 01 - Introduction

1. Overview of Challenge 01.mp4

04:56

2. Solution of Challenge 01.mp4

13:21

5. Coordinates Reference Systems - Theory

1. Module introduction.mp4

01:10

2. Coordinates Reference System (CRS).mp4

06:17

3. Geographic CRS vs Projected CRS.mp4

13:23

4. UTM Coordinates.mp4

05:08

5. Projections.mp4

02:52

6. Codifications for CRS.mp4

04:19

7. Codifications for geometries.mp4

01:58

8. Webs of interest.mp4

02:26

9. QUIZ - CRS theory.html

6. Coordinates Reference Systems - Practice

1. Module introduction.mp4

01:23

2. CRS in simple features.mp4

04:11

3. CRS transformation.mp4

04:04

4. Visualizing in different CRS.mp4

07:52

5. CRS transformation using proj4.mp4

03:29

6. CRS transformation on the fly.mp4

04:24

7. Assign vs Transform the CRS - Common errors.mp4

04:24

8. Summary of the module.mp4

01:54

7. CHALLENGE 02 - CRS

1. Overview of Challenge 02.mp4

04:24

2. Solution of Challenge 02.mp4

12:49

8. Geometry Operations - Theory

1. Module introduction.mp4

01:27

2. Spatial predicates.mp4

07:54

3. Spatial measurements.mp4

01:13

4. Unary transformations.mp4

06:41

5. Binary transformations.mp4

03:03

6. QUIZ - Geometry operations.html

9. Geometry Operations - Practice

1. Module Introduction.mp4

01:21

2. Working data.mp4

06:21

3. Predicate functions for counting.mp4

03:57

4. Spatial Filters I.mp4

05:11

5. Spatial Filters II.mp4

04:40

6. Spatial joins.mp4

05:54

7. Measures - Length.mp4

06:07

8. Measures - Area.mp4

03:53

9. Measures - Distances.mp4

07:02

10. Unary Transformations - Centroids.mp4

02:25

11. Unary Transformations - Buffer.mp4

05:50

12. Unary Transformations - Validate geometries.mp4

02:44

13. Unary Transformations - Simplify geometries.mp4

02:22

14. Unary Transformations - Voronoi Polygons.mp4

06:42

15. Unary Transformations - Delaunay Triangulation.mp4

01:47

16. Binary Transformations - Intersection and Crop.mp4

05:20

17. Binary Transformations - Difference.mp4

02:37

18. Binary Transformations - Symmetric Difference.mp4

10:08

19. Binary Transformations - Symmetric Difference with terra.mp4

04:07

20. Binary Transformations - Combine geometries.mp4

04:58

21. Binary Transformations - UnionDissolve I.mp4

04:00

22. Binary Transformations - UnionDissolve II.mp4

04:19

23. Summary of the Module.mp4

02:45

10. CHALLENGE 03 - Geometry Operations

1. Overview of Challenge 03.mp4

06:10

2. Solution of Challenge 03 - I.mp4

02:35

3. Solution of Challenge 03 - II.mp4

07:57

4. Solution of Challenge 03 - III.mp4

10:24

11. Introduction to Raster Data - Theory

1. Module Introduction.mp4

00:43

2. Introduction to raster data.mp4

07:33

3. Raster Fundamentals.mp4

08:21

4. Analysis of raster data.mp4

12:16

5. QUIZ - Raster Data.html

12. Introduction to Raster Data - Practice

1. Module Introduction.mp4

01:05

2. Load working data - Download DEM.mp4

04:34

3. SpatRaster properties.mp4

01:05

4. Terrain rasters - Slope, aspect ....mp4

07:18

5. Multiband raster.mp4

04:59

6. Crop and Mask a raster.mp4

06:50

7. Reclassify continuous rasters.mp4

09:16

8. Extract values from a raster.mp4

06:38

9. Arithmetic operations.mp4

06:35

10. Aggregate a raster.mp4

04:44

11. Disaggregate a raster.mp4

04:49

12. Rasters are images.mp4

04:04

13. Composites - RGB and False Color.mp4

06:08

14. Calculate NDVI.mp4

09:23

15. Calculate SAVI.mp4

04:29

16. Summary of the Module.mp4

03:35

13. CHALLENGE 04 - Raster

1. Overview of Challenge 04.mp4

07:47

2. Solution of Challenge 04 - I.mp4

15:49

3. Solution of Challenge 04 - II.mp4

06:54

14. Maps with ggplot2

1. Map 01 - Introduction.mp4

01:52

2. Map 01 - Load data.mp4

03:49

3. Map 01 - Prepare data and first map.mp4

09:18

4. Map 01 - Generating Intervals.mp4

09:59

5. Map 01 - Spanish Population by Municipality.mp4

09:49

6. Map 01 - Export map.mp4

03:14

7. Maps 02 and 03 - Introduction.mp4

01:53

8. Map 02 - Load data and system fonts.mp4

02:08

9. Map 02 - Install fonts.mp4

03:23

10. Map 02 - Prepare data.mp4

04:11

11. Map 02 - Bear Occurrences in Picos de Europa I.mp4

07:39

12. Map 02 - Export map.mp4

00:53

13. Map 03 - Bear Occurrences in Picos de Europa II.mp4

18:33

14. Map 03 - Export map.mp4

00:56

15. Map 04 - Introduction.mp4

00:49

16. Map 04 - Load data I.mp4

03:43

17. Map 04 - Load data II.mp4

06:31

18. Map 04 - Rivers of Galicia.mp4

16:42

19. Map 04 - Export map.mp4

00:54

20. Map 05 - Introduction.mp4

00:49

21. Map 05 - Prepare data.mp4

06:19

22. Map 05 - Andean Bear in Peru.mp4

11:57

23. Map 05 - Export map.mp4

00:49

24. Map 06 - Introduction.mp4

04:19

25. Map 06 - Load data.mp4

02:28

26. Map 06 - Calculate dNBR.mp4

04:40

27. Map 06 - Reclassify dNBR.mp4

02:22

28. Map 06 - Tenerife Wildfire Severity.mp4

15:13

29. Map 06 - Export map.mp4

00:54

15. Webmaps with mapview and leaflet

1. Webmap 01 - Introduction.mp4

02:23

2. Webmap 01 - Colors and transparency.mp4

08:18

3. Webmap 01 - Colour map by variable.mp4

03:55

4. Webmap 01 - Spanish Population by Municipality.mp4

11:11

5. Webmap 01 - Export webmap.mp4

02:27

6. Webmap 02 - Introduction.mp4

01:25

7. Webmap 02 - Bear in Picos de Europa.mp4

10:35

8. Webmap 02 - Measurements widget and minimap.mp4

06:18

9. Webmap 02 - Export webmap.mp4

01:37

10. Webmap 03 - Introduction.mp4

01:35

11. Webmap 03 - Galicia Rivers.mp4

17:55

12. Webmap 03 - Export webmap.mp4

01:34

13. Webmap 04 - Introduction.mp4

00:54

14. Webmap 04 - Andean Bear in Peru.mp4

08:24

15. Webmap 04 - Export.mp4

01:20

16. Webmaps 05 and 06 - Introduction.mp4

01:51

17. Webmap 05 - Tenerife Wildfire (synchronized).mp4

11:22

18. Webmap 05 - Export webmap.mp4

02:08

19. Webmap 06 - Tenerife Wildfire (side by side).mp4

05:12

20. Webmap 06 - Export webmap.mp4

01:14

Description

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

What You'll Learn?

Understand the difference between Spatial Data and Non-Spatial Data
Read/Write different Spatial Data formats
Extract properties from spatial data
Understand how the Coordinates Reference Systems (CRS) work
Work with Spatial Filters and Spatial Joins
Understand the spatial predicates (crosses, contains, intersects ...)
Generate Maps and Web Maps
Work with geometry transformations (buffer, centroid, intersection, crop, ...)

Who is this for?

GIS Analysts/Technicians

Environmental Scientists

Geographers

Geospatial Data Scientists

Cartographers

Remote Sensing Specialists

Foresters and Natural Resource Managers

Anyone interested in Spatial Data with R

What You Need to Know?

Basic knowledge of R programming is highly recommended.

Feel comfortable with tidyverse functions, including basic ggplot2 graphs and the pipeline (%>% or |>)

More details

Description

Welcome to my Spatial Data Analysis in R course!
This course is designed for beginners and intermediate-level individuals who want to delve into the fascinating world of spatial data analysis using the R programming language. We will focus on the latest packages and practices for working with real-world spatial data.
Course Content:
Section 01: Introduction to Spatial Data
Get to know the essential fundamentals of spatial data analysis.
Learn to handle spatial data in R.
Section 02: Coordinate Reference Systems
Explore coordinate reference systems and their importance in spatial analysis.
Section 03: Geometric Operations
Learn to perform key operations with geometries, including spatial filters, spatial joins, spatial predicates, and transformations like centroids and buffers.
Section 04: Raster Data
Learn what raster data is and the most common tasks with this type of data.
This section includes a brief introduction to remote sensing.
Section 05: Maps with ggplot2
Master the creation of amazing maps using ggplot2. Unify your prior skills to effectively visualize spatial data.
Section 06: Web Maps
Take your visualizations to the next level by creating interactive web maps with mapview and leaflet extensions, including synchronized maps.
Course Details:
Duration: Approximately 14 hours and 30 minutes.
Lessons: Over 150 lessons that will guide you from basics to advanced techniques in spatial data analysis in R.
Teaching Mode:
Theory and Theory Quizzes
Guided Practices
Proposed Exercises with Solutions
This course is intensive, starting from the basics and taking you to acquire advanced skills in spatial data analysis and visualization. Upon completion, you will not only be an intermediate user but an expert with solid knowledge in the exciting field of spatial analysis.
I invite you to join me and explore the power of R in spatial data analysis!
Hope to see you in class!
Who this course is for:
GIS Analysts/Technicians
Environmental Scientists
Geographers
Geospatial Data Scientists
Cartographers
Remote Sensing Specialists
Foresters and Natural Resource Managers
Anyone interested in Spatial Data with R

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R Programming

Adrian Cidre Gonzalez

Instructor's Courses

Hey, I'm Cidre! I am a forest engineer with passion for studying forests at a wide scale. I use tools like R, Shiny, and Google Earth Engine to do so, and I use Quarto to share my results. My core specialities are:* Remote sensing* Data (spatial and non-spatial) analysis and modelling* Visualization* Forest ecology* WildfiresI am a beginner in teaching, but very enthusiastic and committed to teach you my knowledge. I resealed my first course of Quarto in Spanish, and in the near future I plan to release a very practical introduction to R to show you the way to data analytics and data science, and how to avoid the stones you can find in your way.Enroll now and let's begin our educational expedition!

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