📊 Training Course on Applied Data Analytics with R: R Programming for GIS and Remote Sensing

Module 1: R Programming Fundamentals and RStudio Environment

ü  Installing R and RStudio and Configuring the Environment

ü  The Structure of the R Language and Syntax

ü  Variables, Data Types, and Operators in R programming

ü  Control Flow: Loops and Conditional Statements

ü  Practical Session: Setting up a Project in RStudio and Writing Basic Functions

Module 2: Data Structures and Workflow with the Tidyverse

ü  Introduction to the Tidyverse Philosophy and Packages

ü  Data Frames and Tibbles as Primary Data Structures

ü  Using dplyr for Data Manipulation (Filter, Select, Mutate, Group_by)

ü  Using tidyr for Data Reshaping (Pivot_longer, Pivot_wider)

ü  Practical Session: Cleaning and Reshaping a Raw Dataset using dplyr and tidyr

Module 3: Data Import, Cleaning, and Visualization Fundamentals

ü  Importing Data from Various Formats (CSV, Excel, Database)

ü  Handling Missing Values and Outliers

ü  Basic Data Summaries and Exploratory Data Analysis with R

ü  Introduction to ggplot2 for high-quality static visualizations

ü  Practical Session: Creating Box Plots and Histograms using ggplot2

Module 4: Statistical Analytics with R: Hypothesis Testing and Regression

ü  Descriptive Statistics and Probability Distributions

ü  Conducting Hypothesis Tests (t-tests, ANOVA)

ü  Simple and Multiple Linear Regression Models

ü  Interpreting Model Results and Diagnostics

ü  Practical Session: Building and Interpreting a Multiple Linear Regression Model in R

Module 5: Introduction to Spatial Data Objects and Libraries (R for GIS)

ü  Introduction to R Spatial Libraries (sf, terra)

ü  Understanding Vector Data (sf) and Raster Data (terra) Objects

ü  Reading and Writing Spatial Data Files in R programming

ü  Coordinate Reference System (CRS) Management

ü  Practical Session: Importing and Projecting Vector and Raster Datasets

Module 6: Vector Data Management and Advanced Spatial Operations

ü  Advanced Data Manipulation on Vector Data (Subset, Aggregate)

ü  Spatial Joins and Attribute Management

ü  Geoprocessing Operations (Buffer, Intersect, Union)

ü  Creating and Manipulating Spatial Lines and Polygons

ü  Practical Session: Performing a Spatial Join and Overlay Analysis on Environmental Data

Module 7: Raster Data Processing and Remote Sensing Analysis

ü  Basic Raster Operations (Crop, Resample, Aggregate)

ü  Calculating Spectral Indices (NDVI, NDWI) for Remote Sensing

ü  Image Classification Techniques (Unsupervised and Supervised)

ü  Time Series Analysis of Satellite Imagery

ü  Practical Session: Developing a Complete Remote Sensing Classification Script in R (Supervised)

Module 8: Advanced Visualization and Interactive Mapping (Leaflet/Mapview)

ü  Creating Advanced Static Maps with ggplot2 and sf

ü  Introduction to Interactive Web Mapping with leaflet and mapview

ü  Adding Markers, Pop-ups, and Custom Basemaps

ü  Creating Spatial Animations and Time-Series Maps

ü  Practical Session: Building an Interactive Map Dashboard for Public Sharing

Module 9: Geospatial Modelling and Machine Learning in R

ü  Geographically Weighted Regression (GWR) for Spatial Heterogeneity

ü  Introduction to Machine Learning for Spatial Prediction (Random Forest)

ü  Cross-Validation and Model Evaluation Techniques

ü  Spatial Interpolation (Kriging)

ü  Practical Session: Implementing a Spatial Prediction Model (Random Forest)

Module 10: Reproducible Research and Reporting with R Markdown

ü  Introduction to R Markdown for Dynamic Document Generation

ü  Integrating Code, Output, and Text for Reproducible Reports

ü  Creating HTML, PDF, and Presentation Slides from R Markdown

ü  Best Practices for Sharing and Documenting R programming Code

ü  Practical Session: Generating a Fully Reproducible Spatial Analysis Report using R Markdown

About Our Trainers

Our trainers are senior Data Scientists and Geospatial Analytics specialists, specializing in R for GIS and remote sensing mentorship program and R programming instructor-led training. They possess advanced degrees in Data Science and Geography, with an average of 12+ years of experience applying R to solve complex spatial problems in environmental modelling, urban planning, and resource management. They are experts in the Tidyverse and specialized spatial R packages, ensuring the instruction is both statistically rigorous and practically grounded in real-world data analytics with R.

Quality Statement

Phoenix Center for Policy, Research and Training is committed to delivering a superior Data Analytics with R training course. Our curriculum provides the most up-to-date R programming techniques and is designed for immediate application in GIS and remote sensing fields. We utilize an R programming instructor-led training model focused on hands-on coding in RStudio, guaranteeing participants leave with the practical confidence to execute advanced data analysis with R and build robust analytical solutions.

Tailor-Made Courses

We understand that every organization has unique challenges and opportunities as well as unique training needs. Phoenix Training Center offers tailor-made courses designed to address specific requirements and challenges faced by your team or organization. Whether you need a customized curriculum, a specific duration, or on-site delivery, we can adapt our expertise to provide a training solution that perfectly aligns with your objectives. We can customize this Course to focus on your industry, specific risk profile, or internal stakeholder dynamics. Contact us to discuss how we can create a bespoke training program that maximizes value and impact for your team. For further inquiries, please contact us on Tel: +254720272325 / +254737296202 or Email training@phoenixtrainingcenter.com

Admission Criteria

ü  Participants should be reasonably proficient in English.

ü  Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.

Terms and Conditions

ü  Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

ü  What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

ü  Certificate Awarded: Participants are awarded Certificates of Completion at the end of the training.

ü  Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Booking for Training

Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training. Or call us on +254720272325 / +254737296202

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

ü  Groups of 5 People and Above – Cheque Payments to: Phoenix Center for Policy, Research and Training Limited should be paid in advance, 5 days to the training.

ü  Invoice: We can send a bill directly to you or your company.

ü  Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

ü  Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

ü  Participants may cancel attendance 14 days or more prior to the training commencement date.

ü  No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Accommodation and Airport Transfer

For physical training attendees, we can assist with recommendations for accommodation near the training venue. Airport pick-up services can also be arranged upon request to ensure a smooth arrival. Please inform us of your travel details in advance if you require these services. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737296202