GIS Analysis in Water Sanitation and Hygiene Course

Training

Start date

15/03/2021

End date

19/03/2021

Overview

Introduction

A lot of projects and programs have failed to have the impacts they were designed to have because they did not incorporate GIS in their project operations. A geographical information system (GIS) is a collection of hardware software, and procedures to collect, manage, retrieve, manipulate, analyze and display spatial data. This training workshop will equip participants with the ability to perform multi criteria analysis of WASH, model wash projects, identify Most at Risk Populations, use GIS as a monitoring tool for WASH activities in line with SPHERE minimum standards.

Target Participants

WASH specialists, M & E Experts, Public health, Program Manager, Students and Risk assessors, water engineers.

Course duration

5 days

What you will learn

By the end of this course the participants will be able to:

  • Use GIS as monitoring tool for WASH projects Activities
  • Familiarize with spatial data availability
  • Appreciate the role of Spatial Data Infrastructure (SDI) in WASH programs
  • Use participatory GIS (PGIS) at community level
  • Conduct water and sanitation modeling using GIS
  • Collect data using Mobile data gathering tools
  • Carry out basic data analysis using statistical software’s
  • Integrate GIS within new and existing WASH activities.

Course Outline

Click on the link to view course content https://upskilldevelopment.com/gis-analysis-in-water-sanitation-and-hygiene-wash-training-course

What you will learn

 

Learning Objectives

By the end of this course the participants will be able to:

  • Use GIS as monitoring tool for WASH projects Activities
  • Familiarize with spatial data availability
  • Appreciate the role of Spatial Data Infrastructure (SDI) in WASH programs
  • Use participatory GIS (PGIS) at community level
  • Conduct water and sanitation modeling using GIS
  • Collect data using Mobile data gathering tools
  • Carry out basic data analysis using statistical software’s
  • Integrate GIS within new and existing WASH activities.