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GIS Enhanced Statistical Data Analysis for Wash Programmes

INTRODUCTION

This is a core course in spatial data analysis, i.e. we will focus on learning the most important and widely encountered spatial data analysis tasks in both R and QGIS.It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts related to spatial data analysis.

DURATION

3 days

WHO SHOULD ATTEND?

  • Academics
  • Researchers
  • Conservation managers
  • Anybody who works/will work with spatial data

LEARNING OBJECTIVES

  • You will have a greater clarity of basic spatial data concepts and data types
  • Carry out practical spatial data analysis tasks in freely available software
  • Learn about the kind of questions that are answered through spatial analysis and where to obtain free spatial data.
  • Analyze spatial data using both R and QGIS
  • Process raster and vector data in both R and QGIS
  • Show off your skills & gain experience by working on a real life conservation related spatial data analysis project
  • Start analyzing spatial data for your own projects using two powerful freeware tools
  • You'll have a copy of all the data and R scripts used in the course will be provided to students for their reference and to use in their own analysis.
  • You'll also have plenty of handy hints and tips will be provided alongside the code to prevent glitches

TOPICS TO BE COVERED

SECTION 1: INTRODUCTION TO SPATIAL DATA ANALYSIS

  • Introduction: What is the Course About
  • Resources and Software to be Downloaded
  • What is Spatial Data Analysis?
  • Quick Introduction to Some Concepts Related to Spatial Data

SECTION 2: WORKING WITH RASTER DATA

  • Read in Raster Data Using QGIS
  • Read in Raster Data in R
  • Modify CRS of Raster Bands
  • Modify Raster Stack in R
  • Plot Multiple Bands as false color composites
  • Band Arithmetic in R
  • Band Arithmetic in QGIS
  • Reclassify to Categorical Raster
  • Categorical Raster Statistics in R
  • Categorical Raster Statistics in QGIS
  • Resampling Raster Data in R
  • Clipping Raster Data in R
  • Clipping Rasters in QGIS
  • Deriving Topographic Products in R
  • Topographic Calculations in QGIS
  • Basic Statistics Calculations on Rasters in R

SECTION 3: WORKING WITH VECTOR DATA

  • Read Vector Data in QGIS
  • Read Vector Data in R
  • Explore Shapefile Attributes in R
  • Basic Visualizations with Shapefiles in R
  • Subset and Split Shapefiles in R
  • Splitting and Merging Shapefiles in QGIS
  • Basic Analysis on Shapefiles in R

REQUIREMENTS

Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION 

Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.

TRAINING VENUE

The training is residential and will be held at IRES training Centre. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +254 715 077 817

Tel: 020 211 3814

TAILOR- MADE

This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 or mail This email address is being protected from spambots. You need JavaScript enabled to view it.

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B. 9th September 2019.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.

CANCELLATION POLICY

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

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

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

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 3 Days
Event Date 16-09-2019
Event End Date 18-09-2019
Cut off date 09-09-2019
Individual Price(Kenyan) KES 46,999
Individual Price (International) EUR 539
Individual Price(International in Dollars) USD 627
Location Nairobi, Kenya
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