GIS and Statistical Analysis for WASH Programmes

Course date: 27/01/2020 to 31/01/2020 Duration: 5 Days Course fee: USD 800, KES 65,000

Introduction

GIS technology can be integrated in the implementing and monitoring of target based interventions in water sanitation and hygiene (WASH). The technology helps creating model of complex environment in a simpler and easier way that enhance understanding of the environment, paving way for proper and informed decisions. Free open source GIS software for both desktop and web application 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 community level

        Carry out water and sanitation modeling using GIS

        Collect data using Mobile data gathering tools

        Carry out basic data analysis using statistical softwares

        Design and implement their own GIS projects that integrate remote sensing data, 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 editing 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’s data

        Basic analysis and Geo processing

        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

Course Date: 27/01/2020 to 31/01/2020 Duration: 5 Days Course fee: USD 800 , KES 65,000
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