GIS and Statistical Analysis for WASH Programmes Course
Details
Water-related challenges in developing countries are not limited to water supply and sanitation services. Water shortages experienced by users across the region is plagued with chronic cycles of flooding and drought that are increasing in frequency and severity, in part exacerbated by climate change, and coupled with population growth, significant upland watershed destruction, and non-equitable distributed of water resources.
There is the need in improving access to water, increasing community capacity to manage and better use water resources, improving water supply infrastructure in arid and semi-arid areas, improving water sanitation and hygiene practices, as well as protecting watersheds.
Outline
MODULE 1:
Introduction and definitions of key concepts
- Review of WASH concepts
- Introduction to GIS concepts
Introduction to GIS Software (QGIS)
- Principles of GIS
- Components of GIS Systems
- GIS Capabilities and Functions in the context of WASH
- Spatial Data Infrastructure in WASH
GPS, GLONASS, and GIS
- Introduction to GPS and Global Navigation Satellites
- GPS configuration, Capturing data from surveys
- GPS download and related tasks
- Integrating field GPS data into the GIS database
- Facilitated Field exercises in GPS Data Collection in WASH
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 the project’s data
- Basic analysis and Geoprocessing
- Online Mapping – Google Maps and Fusion Tables
Case studies: GIS application in water quality testing
- Identify and map critical areas of land use and reveal trends that affect water quality
- GIS to monitor water levels, water usage, and watch for trends, case study Use of GIS for mapping river contamination.
MODULE 4:
- 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
- Basic Regression Analysis
- Tabulations and Graphics
- Statistical Data Analysis with Excel
- Data Quality reporting
IRES offers technical and management consultancy services as well as education and training services designed for individuals’ and groups from organizations working in public, not for profit and private sectors.
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