+ 254 20 211 3814 | +254 731 240 802
   +254 735 331 020 | +254 715 077 817
Westlands, Rhapta Road
Njema Court, Suite R2
fb twitter LinkedIn flikr flikr G+

GIS Analysis for WASH Programmes Course


The aim of any water sanitation and hygiene (WASH) programme is to promote good personal and environmental hygiene in order to protect health. Integrating GIS in WASH programmes helps in implementing target based interventions as it will help to build a model of the complex environment in a much simpler and easier way for you to understand the environment and make proper and informed decisions. Continuing developments in free open source GIS software for both desktop and web application is opening up great possibilities for capturing and processing geographical data, and then publishing maps   via the internet. The ability to manage information on water and sanitation services and then overlay it with other spatial features has wide-ranging benefits for project planning and design, monitoring and evaluation, advocacy and accountability.

Integrating GIS in WASH programmes is the way forward, toward achievement of the post 2015 Development agenda aimed at achieving global access to water and sanitation.


Program Manager, Monitoring and Evaluation Experts, Civil Engineers, Environmentalist, Public health practitioners, epidemiologists, exposure scientists, quantitative health geographers, risk assessors, students.


5 Days


No prior knowledge of GIS is required. Participants will be working on their own laptop with Quantum GIS (QGIS)


 By completing this course, participants will be able to:-

  • Evaluate the spatial data requirements in Water Sanitation and Hygiene
  • Use GIS and RS as a tool for monitoring WASH projects Activities
  • Assess spatial data availability
  • Understand the importance of Spatial Data Infrastructure (SDI) in WASH programs
  • Use participatory GIS (PGIS) at community level
  • Carry out water and sanitation modeling using GIS
  • Collect data using Mobile data gathering tools
  • Carry out basic data analysis using statistical software’s
  • Design and implement their own GIS projects that integrate remote sensing data, GPS-based field information in a proper geospatial framework


Module 1:

 Key Concepts and Principles

  • Introduction to key concepts and principles in WASH
  • Everything happens somewhere
  • Geography and national spatial data infrastructure
  • Strategic role of geography   in WASH project implementation
  • Process for using geographic data and tools
  • Concepts and principles of  GIS
  • GIS Capabilities and Functions in the context of WASH
  • Spatial Data sources for WASH  and other related issues
  • National infrastructure for spatial data
  • Introduction to Quantum GIS(QGIS) and its user interface
  • GIS advantages for M&E in WASH

Case study:Using GIS in assessing informal urban settlement WASH programs

Module 2:

GIS Data Management for WASH

  • Collecting data  in WASH context using  GPS
  • Using GPS utility software for managing and downloading and managing data
  • Using Mobile Phones for GIS collecting data on WASH indicators
  • Importing GPS data to Quantum GIS
  • Soft skills on key data analysis in EXCEL
  • GIS Mapping of WASH indicators
  • Create new WASH indicators map layers using internal and local data
  • Styling and symbolization
  • Mapping resources/Project activities
  • Facilitated practical exercises in map making and presentation using project’s data
  • Spatially join and aggregate point data to create maps of different theme
  • Building and coding the new variables
  • Digitizing and scanning of maps to create a base map for WASH project area

Case study: GIS in monitoring sustainable rural water supply

Module 3:

GIS and Remote Sensing as a tool in monitoring WASH projects

  • Import and project map layers for a local analysis
  • Project maps for WASH-data analysis at different geographic scales
  • Reducing GIS data from large coverage to an area of interest
  • Cutting points of interest in image datasets
  • Techniques of overlying GIS data
  • Extracting subsets of GIS data for mapping
  • Multi Criteria analysis and its application in WASH
  • Understand  map layers in GIS
  • Composing a GIS layout from WASH indicators
  • Bringing tabular data into a GIS (Excel, SPSS, Access etc.)
  • Connecting  visual map features and tabular data
  • Selecting subsets of map features from geo processing
  • Use data sorting records and labeling indicators  to produce information
  • Composing a map

Case study: Use of GIS in siting suitable location for solid waste landfill

Module 4:

Designing maps for WASH indicators

  • Design and build numeric scales for mapping attributes
  • Symbolize numeric scales for points using size-graduated point markers
  • Mapping the relationship of two variables
  • Build professional map' layouts for presentations and reports
  • Export map layouts as image files
  • Export map layouts as PDF files
  • GIS mapping of most at risk populations (MARPS)

Case study: GIS for WASH in emergency

Case study:Using GIS in monitoring WASH in schools projects

Module 5:

Online Publishing of maps and GIS outputs

  • Working with Google Maps and Fusion Tables to publish WASH output data
  • Publishing WASH data into other web based platforms

Case study:  Applying Participatory GIS in Community-Led Total Sanitation


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.


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


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

Mob: +254 715 077 817

Tel: 020 211 3814


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


Payment should be transferred to IRES account through bank on or before C.O.B. 13th November 2017

Send proof of payment to


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

Duration 5 Days
Event Date 20-11-2017
Event End Date 24-11-2017
Cut off date 13-11-2017
Individual Price (International) EUR 1,002.00
Individual Price (International) USD 1,088.00
Location Uganda
We are no longer accepting registration for this event

Group Tariffs

Group Size Kenyan Rate Per day (KES) International Rate Per day (USD/EURO)
6-10 95,000.00 $ 1,118.00
€ 1,018.00
11-15 146,250.00 $ 1,721.00
€ 1,567.00
16-20 191,250.00 $ 2,250.00
€ 2,048.00
21-25 230,000.00 $ 2,706.00
€ 2,463.00
26-30 262,500.00 $ 3,089.00
€ 2,811.00
30-50 309,825.00 $ 4,556.00
€ 0.00
3-5 62,500.00 $ 736.00
€ 670.00
Share this event:

↑ Top

© Indepth Research Services Ltd 2017