Training Course on Spatial Data Analytics and GIS Mapping
Geographical information Systems have become an essential tool for planning, resource management and decision making. The ability of GIS to store, retrieve, analyze model and map spatial data has enhanced its application. Geographic information systems are used in infrastructure management, project beneficiary mapping, service facilities mapping, land use planning, market analysis, impact analysis and utilities management. This training course on spatial data analytics and GIS mapping aims at equipping the learners with knowledge to use GIS tools to visualize real world features, explore spatial data and analyze maps to communicate information and make decisions.
Target Participants
This course is designed for participants who want to apply GIS in the work to share information and make decisions.
Course Duration
5 Days
What you will learn
By the end of this course you will learn how to:
- Acquire, clean, and map GIS data
- Work with both vector and raster data
- Complete an entire GIS project on acquiring, processing, analyzing, and visualizing GIS data.
- Work with attributes and shapefiles in map making
- Geocode addresses to longitude and latitude coordinates
- Perform joins, clipping, normalization, and many more core GIS operations
- Work with vector and raster data
- Perform spatial analysis to better understand your data
- Create and share online maps using web GIS platforms
Course Outline
Introduction to GIS concepts
- Principles of GIS and Remote Sensing
- Components of GIS Systems
- GIS Capabilities and Functions
- Spatial Data Infrastructure
Introduction to GIS data
- Vector geometries
- Vector information
- Raster basics
- Data attribute table
- Metadata
Spatial Reference Systems
- Map projections
- Coordinate system
- GPS system
ODK and GIS
- Introduction to Mobile Data Collection using ODK
- GIS Mapping ODK collected data
GIS data acquisition
- Extracting data from Satellite images
- Remote sensing data
- Extracting data from online GIS data sources
- Obtaining Data from topographic sheets
- Downloading Data from open street maps
Map making using QGIS software
- Map Components
- Working with shapefiles and attribute data in QGIS
Loading GIS Data into QGIS
- Vector and raster data layer
- Working with attributes
- Importing spreed sheets or CSVs
- Adding a base map
- Geocoding addresses
Key Options of Geospatial Data Representations
- Data and layout view
- Layer order and transparency
- Symbology and label
- Annotations
Styling geographical features
- Basic vector styling
- Basic raster styling
- Raster mosaicing and clipping
Producing final map
Spatial Analysis
Point pattern analysis
- Heatmap in QGIS
- Graduated point map
- Density maps
- Offset point location
Buffer analysis
Join analysis
- Spatial join
- Table join
- Spatial query
Point in polygon analysis
Web Mapping
- Architecture of web mapping
- Web mapping with Google fusion tables
Training Approach
This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
Training manuals and additional reference materials are provided to the participants.
Certification on Spatial Data Analytics and GIS Mapping
Upon successful completion of this course, participants will be issued with an internationally recognized certificate. Altum Training and Research Institute is NITA certified. Read more.
Tailor-Made Course on Analytics and GIS Mapping
We can also do this as a tailor-made course to meet organization-wide needs. Contact us to find out more info@altumtrainings.com
Payment
The training fee covers tuition fees, learning materials, and training venue. Accommodation and airport transfer are arranged for our participants upon request.
Payment should be sent to our bank account before start of training and proof of payment sent to info@altumtrainings.com
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