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TRAINING ON GIS MAPPING AND SPATIAL DATA ANALYSIS

INTRODUCTION

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.

 

DURATION

5 Days

OBJECTIVES

After completing this course, the student will be able to:

v Acquire, clean, and map GIS data

v Work with both vector and raster data

v Complete an entire GIS project on acquiring, processing, analyzing, and visualizing GIS data.

v Work with attributes and shapefiles in map making

v Geocode addresses to longitude and latitude coordinates

v Perform joins, clipping, normalization, and many more core GIS operations

v Work with vector and raster data

v Perform spatial analysis to better understand your data

v 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

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

TRAINING VENUE, LOGISTICS AND PAYMENT

v Training is residential and will be held at Afriex Training Centre.

v The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

v Accommodation and airport transfer are arranged upon request by the participant.

v This training can also be tailor made for your institution upon request. You can have it delivered in our training Centre or at a convenient location.

v Upon successful completion of this training, participants will be issued with an Afriex Training Ltd certificate.

Schedules

Nov 20, 2023 - Nov 24, 2023
ENDED
Weekdays 09:00 AM — 04:00 PM
Dec 11, 2023 - Dec 15, 2023
ENDED
Weekdays 09:00 AM — 04:00 PM
No. of Days: 5
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Afriex Training Ltd is a  leading provider of training, research and consultancy services to international organizations across the globe.Each year, we have more than 450 scheduled trainings that are performance based and led by professional facilitators and leading industry experts.

We have the capacity, resources and experience to provide a full range of interdisciplinary consultancy and management services.

Our Training areas include
  • Monitoring & Evaluation Courses
  • GIS and Remote Sensing Courses
  • Humanitarian & Social Development Courses
  • Data Analysis and Management Courses
  • Computing & Information Technology Courses
  • Agriculture Development Courses
  • Soft Skills Sales and Marketing Courses
  • Accounting and Financial Management Courses
  • Leadership and Management Courses
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