GIS AND STATISTICAL ANALYSIS FOR WASH PROGRAMMES

Introduction

GIS technology can be integrated into the implementation and monitoring of target-based interventions in water sanitation and hygiene (WASH). The technology helps to create a model of the complex environment in a simpler and easier way that enhances understanding of the environment, paving way for proper and informed decisions. Free open-source GIS software for both desktop and web applications is opening up possibilities for capturing and processing geographical data, and then publishing maps via the internet.

DURATION

5 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 the 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, and GPS-based field information in a proper geospatial framework

 COURSE OUTLINE

Module 1: Introduction and definitions of key concepts

•        Review of WASH concepts

•        Introduction to GIS concepts

•        Introduction to GIS Software (QGIS)

ü  Principles of GIS

ü  Components of GIS Systems

ü  GIS Capabilities and Functions in the context of WASH

ü  Spatial Data Infrastructure in WASH

•        GPS, GLONAS, and GIS

ü  Introduction to GPS and Global Navigation Satellites

ü  GPS configuration, Capturing data from surveys

ü  GPS download and related tasks

ü  Integrating field GPS data into the GIS database

Module 2: GIS Data Management

•        Data Sources in GIS for WASH

•        Working with GIS Data

•        Attributes manipulation in GIS

•        Tabular data in GIS –import/add and edit tables in GIS

•        GIS database creation

•        GIS database management

•        Facilitated Practical exercises in working with spatial Databases (Geo-databases)

Module 3: Development and presentation of maps

•        GIS Mapping

•        Styling and symbolization

•        Mapping resources/Project activities

•        Facilitated practical exercises in map making and presentation using project data

•        Basic analysis and Geoprocessing

•        Online Mapping – Google Maps and Fusion Tables

Module 4: GIS and Remote Sensing as a tool in monitoring WASH projects

•        Participatory GIS for WASH

•        Use of Mobile Phones for Data Collection in WASH

•        Multi-Criteria analysis and its application in WASH

•        Case study: GIS and Remote Sensing as a tool in monitoring WASH projects

Module 5: Statistical data analysis for WASH

•        Introduction to excel

•        Data Entry and Management with Excel

•        Manipulating data using formulas

•        Preparing data for analysis

•        Creating a list

•        Outlining and Sorting data

•        Entering Data: Data Forms

•        Finding Records Using Criteria

•        Filtering Data

•        Data Auditing

•        Data validation

•        Introduction to Excel Pivot tables

•        Frequency Tables

• Two-Way Tables

•        Any Order Tables

•        Graphing Qualitative Data

•        Graphing Quantitative Data

•        Descriptive Statistics

•        Basic Inferential Statistics Tests (Correlation, Chi Square, T-Test, and ANOVA)

•        Basic Regression Analysis

•        Tabulations and Graphics

•        Statistical Data Analysis with Excel

•        Data Quality reporting

 TRAINING CUSTOMIZATION

This training can also be customized for your institution upon request. You can also have it delivered to your preferred location.

REQUIREMENTS

Participants should be reasonably proficient in English.  During the training, participants should come with their own laptops.

TRAINING FEE

Cost:

In-person USD 900

Payment should be transferred to FineResults Research Services bank account one week prior to the training date

 ACCOMMODATION

Accommodation is arranged upon request.  

PAYMENT

Payment should be transferred to FineResults Research Limited bank before the commencement of training.

CANCELLATION POLICY

• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received

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