GIS Mapping and Spatial Data Analysis Course

Introduction

Geographic information systems are used in infrastructure management, project beneficiary mapping, service facilities mapping, land use planning, market analysis, impact analysis and utilities management.

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.

This course 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.

Who Should Attend?

This training is designed for participants who want to apply GIS in the work to share information and make decisions.

No of Days

5 Days

Course Objectives

•          Perform spatial analysis to better understand your data
•          Create and share online maps using web GIS platforms
•          Acquire, clean, and map GIS data
•          Geocode addresses to longitude and latitude coordinates
•          Work with attributes and shapefiles in map making
•          Work with both vector and raster data
•          Complete an entire GIS project on acquiring, processing, analyzing, and visualizing GIS data.
•          Perform joins, clipping, normalization, and many more core GIS operations
•          Work with vector and raster data

Course Content

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