Spatial Data Analysis & Modeling Using R

Learn spatial data analysis and modeling techniques using R for effective data visualization.

Introduction to R

Setting up RStudio and handling shapefiles and geotiffs effectively.

Data Visualization

Utilize dplyr, sf, ggplot2, and tmap for advanced data visualization techniques.

Geostatistical Techniques

Explore IDW, kriging, and spatial prediction models for accurate data analysis.

Course Highlights

Introduction to R for Spatial Analysis: Setting up R and RStudio for geospatial tasks | Importing and handling spatial data| Understanding R’s spatial libraries

Spatial Data Manipulation & Visualization: Data manipulation with dplyr and sf packages | Visualizing spatial data using ggplot2 and tmap | Creating thematic maps and custom visual outputs

Exploratory Spatial Data Analysis (ESDA): Identifying spatial patterns and relationships | Spatial autocorrelation: Moran’s I and Geary’s C | Interpreting spatial distribution insights

Geostatistical Techniques & Spatial Prediction: Introduction to interpolation: IDW and Kriging | Building and evaluating spatial prediction models | Hands-on implementation of spatial interpolation

Spatial Regression & Advanced Modeling: Understanding spatial lag and spatial error models (SLM, SEM) | Model diagnostics and interpretation of spatial outputs | Applying spatial regression to real-world datasets

Researchers and Data Scientists: Enhance your research capabilities by mastering spatial data analysis, geostatistical modeling, and advanced spatial regression using R.

GIS Professionals: Improve your geospatial analysis workflow with hands-on experience in spatial data manipulation, visualization, and modeling.

Urban and Environmental Planners: Leverage spatial analytics to make informed decisions and solve real-world urban and environmental challenges.

Students and Aspiring Data Analysts: Build a strong foundation in spatial statistics and R programming to kickstart your career in geospatial analysis.

Professionals Looking to Upskill: Stay ahead in the data-driven world by learning in-demand spatial analysis techniques for research and industry applications.

Anyone Struggling with Spatial Data: If handling and analyzing spatial data feels overwhelming, our structured, hands-on workshop will guide you through every step with practical examples and expert support.

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