GIS and Statistical Analysis for WASH Programmes Course

6 years ago Posted By : User Ref No: WURUR20574 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 04-06-2018 - 08-06-2018
GIS and Statistical Analysis for WASH Programmes Course, Nairobi, Kenya
Training or Development Class Title
GIS and Statistical Analysis for WASH Programmes Course
Event Type
Training or Development Class
Training or Development Class Date
04-06-2018 to 08-06-2018
Last Date for Applying
28-05-2018
Location
Nairobi, Kenya
Organization Name / Organize By
Indepth Research Services, Nairobi, Kenya
Organizing/Related Departments
Indepth Research Services
Organization Type
Organization
Training or Development ClassCategory
Technical
Training or Development ClassLevel
International
Related Industries

Education/Teaching/Training/Development

Fresher/Trainee/Professionals

OTHERS

Location
Nairobi, Kenya

Event: GIS and Statistical Analysis for WASH Programmes Course

Venue: Indepth Research Services, Nairobi, Kenya.

Event Date: 4th June– 08th  June 2018

 

NITA CERTIFIED

 

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INTRODUCTION

It’s a known fact that information is processed from facts and figures. Giving a spatial dimension to data and performing spatial analysis in a GIS environment enhances the interpretation which eventually speeds up implementation of programs. Integrating GIS and Remote Sensing as a decision-making tool has seen many organizations gain competitive advantage and remain relevant globally.

A geographic information system (GIS) will allow you to bring all types of data inform of layers, overlay them to perform analysis and eventually publish a map from that. Once the data is collected, participants will be equipped with analyses skills using Microsoft Excel program where techniques on handling both qualitative and quantitative data will be illustrated.

CLASS SIZE

The class size is limited to 10 participants to ensure that each participant could interact with the facilitator.

DURATION

6 Days

COURSE OBJECTIVES

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
  • Design and implement their own GIS projects that integrate remote sensing data, GPS-based field information in a proper geospatial framework

TOPICS TO BE COVERED

  • Introduction and definitions of key concepts
  • GIS Data Management
  • Development and presentation of maps
  • Case studies: GIS application in water quality testing
  • GIS and Remote Sensing as a tool in monitoring WASH project
  • Participatory GIS for WASH
  • Use of Mobile Phones for data Collection in WASH
  • Multi Criteria analysis and its application in WASH
  • Statistical data analysis for WASH

Visit our website for more details

How to Participate

  • Tailor Make a Course
  • Register as an Individual
  • Register as a Group
  • Become One of Our Partners.
  • Purchase Software
  • Frequently Asked Questions (FAQ’s)

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View GIS and Earth Observation Institute Course Catalogue

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814

Email [email protected]

 

ACCOMMODATION

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

Email: [email protected].

Mob: +254 715 077 817

Tel: 020 211 3814

 

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B 28th May 2018.

Send proof of payment to [email protected]

Others Details

TAILOR-MADE TRAINING This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our IRES Training Centre or at a convenient location.

Registration Fees
Available
Registration Fees Details
USD 1100
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  P.O. BOX 104289-00101  Pin/Zip Code : 00101
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